Pesticides are widespread anthropogenic chemicals and well-known environmental contaminants of concern. Much less is known about transformation products (TPs) of pesticides and their presence in the environment. We developed a novel suspect screening approach for not well-explored pesticides (n = 16) and pesticide TPs (n = 242) by integrating knowledge from national monitoring with high-resolution mass spectrometry data. Weekly time-integrated samples were collected in two Swedish agricultural streams using the novel Time-Integrating, MicroFlow, In-line Extraction (TIMFIE) sampler. The integration of national monitoring data in the screening approach increased the number of prioritized compounds approximately twofold (from 23 to 42). Ultimately, 11 pesticide TPs were confirmed by reference standards and 12 TPs were considered tentatively identified with varying levels of confidence. Semiquantification of the newly confirmed TPs indicated higher concentrations than their corresponding parent pesticides in some cases, which highlights concerns related to (unknown) pesticide TPs in the environment. Some TPs were present in the environment without co-occurrence of their corresponding parent compounds, indicating higher persistency or mobility of the identified TPs. This study showcased the benefits of integrating monitoring knowledge in this type of studies, with advantages for suspect screening performance and the possibility to increase relevance of future monitoring programs.

Regression ranks among the most popular statistical analysis methods across many research areas, including psychology. Typically, regression coefficients are displayed in tables. While this mode of presentation is information-dense, extensive tables can be cumbersome to read and difficult to interpret. Here, we introduce three novel visualizations for reporting regression results. Our methods allow researchers to arrange large numbers of regression models in a single plot. Using regression results from real-world as well as simulated data, we demonstrate the transformations which are necessary to produce the required data structure and how to subsequently plot the results. The proposed methods provide visually appealing ways to report regression results efficiently and intuitively. Potential applications range from visual screening in the model selection stage to formal reporting in research papers. The procedure is fully reproducible using the provided code and can be executed via free-of-charge, open-source software routines in R.

This dataset gather data files and script that are related to the creation of a database for suspect screening analysis of 291 transformation products (TPs) of tebuconazole, assisted by in silico workflows. There are several types of files: (1) The enhance created database itself, in .csv format ; (2) All structures of TPs of the database in one file, in the in .sdf format ; (3) Structure of each TPs of the database in differents .mol files, compressed in a .zip file. ; (4) A compilation of the scripts used for the database creation, in .rmd format.

This is the collection associated with list S38 SOLNSLMCTPS on the NORMAN Suspect List Exchange. https://www.norman-network.com/?q=suspect-list-exchange S38 SOLNSLMCTPS SOLUTIONS Predicted Transformation Products by LMC Original File XLSX (14/02/2019) SOLNSLMCTPS InChIKeys (14/02/2019) Predicted Transformation Products calculated by LMC during the SOLUTIONS project, interactive table available here. 14/11/19 update: added CSV version

The U.S. EPA continues to utilize high-throughput screening data to evaluate potential biological effects of endocrine active substances without the use of animal testing. Determining the scope and need for in vitro metabolism in high-throughput assays requires the generation of larger data sets that assess the impact of xenobiotic transformations on toxicity-related endpoints. The objective of the current study was to screen a set of 768 ToxCast chemicals in the VM7Luc estrogen receptor transactivation assay (ERTA) using the Alginate Immobilization of Metabolic Enzymes (AIME) hepatic metabolism method. Chemicals were screened with or without metabolism to identify estrogenic effects and metabolism-dependent changes in bioactivity. Based on estrogenic hit calls, 85 chemicals were active in both assay modes, 16 chemicals were only active without metabolism, and 27 chemicals were only active with metabolism. Using a novel metabolism curve shift method that evaluates the shift in concentration-response curves, 29 of these estrogenic chemicals were identified as bioactivated and 59 were bioinactivated. Human biotransformation routes and associated metabolites were predicted in silico across the chemicals to mechanistically characterize possible transformation-related ERTA effects. Overall, the study profiled novel chemicals associated with metabolism-dependent changes in ERTA bioactivity, and suggested routes of biotransformation and putative metabolites responsible for the observed estrogenic effects. The data demonstrate a range of metabolism-dependent effects across a diverse chemical library and highlight the need to evaluate the role of intrinsic xenobiotic metabolism in endocrine and other toxicity-related health effects.

An automated, silicon-based microreactor system has been developed for rapid, low-volume, multidimensional reaction screening. Use of the microfluidic platform to identify transformations of densely functionalized bicyclo[3.2.1]octanoid scaffolds will be described.

This repository is supplementary to the manuscript "Suspect and Nontarget Screening Reveal the Underestimated Risks of Antibiotic Transformation Products in Wastewater Treatment Plant Effluents" (DOI: 10.1021/acs.est.3c05008). This repository contains scripts of TPs collection and QSRR model as well the generated data set.

We compiled a suspect list of antibiotics containing 663 compounds. Corresponding suspect TPs were collected in silico with BioTransformer 3.0 and through a library search from PubChem data, which were both performed in batch mode using the patRoon 2.0 package. After merging results and removing duplicates, 88,823 TPs remained for suspect screening. Quantitative-structure retention relationship (QSRR) models were developed for the suspect antibiotics and TPs using target compounds to predict their retention times with the Retip package.

Employment Screening Services Market Outlook

According to our latest research, the global employment screening services market size reached USD 5.8 billion in 2024, with a robust year-on-year growth driven by increasing regulatory scrutiny and a heightened emphasis on workplace safety. The market is expected to expand at a CAGR of 7.2% from 2025 to 2033, projecting a value of USD 10.9 billion by 2033. This remarkable growth trajectory is primarily fueled by the rising need for organizations to mitigate hiring risks, comply with evolving legal frameworks, and ensure a secure work environment in an era of global workforce mobility and digital transformation.

One of the primary growth factors propelling the employment screening services market is the intensification of regulatory requirements across multiple industries. Governments and industry bodies worldwide are imposing stricter mandates on background verification, identity checks, and criminal record assessments to ensure workplace safety and legal compliance. This is particularly evident in highly regulated sectors such as BFSI, healthcare, and government, where the implications of negligent hiring can be severe. The increasing stringency of these regulations is compelling organizations to adopt comprehensive screening solutions, thereby boosting demand for advanced employment screening services that are capable of integrating seamlessly with HR management systems and providing real-time, accurate results.

Another significant driver is the globalization of the workforce, which has made it imperative for organizations to verify credentials and backgrounds across multiple jurisdictions. As businesses expand their operations internationally, they encounter diverse legal systems, educational standards, and employment histories, all of which necessitate robust verification processes. The complexity of cross-border hiring has led to the adoption of sophisticated screening technologies, including AI-powered data analytics and blockchain-based credential verification. These innovations not only enhance the accuracy and speed of background checks but also address privacy concerns and reduce the risk of human error, thereby making employment screening services indispensable in the modern recruitment process.

The rapid digitalization of HR processes and the growing adoption of remote and hybrid work models have further accelerated the demand for employment screening services. With remote hiring becoming the norm, organizations are increasingly reliant on digital platforms to verify candidate identities, educational backgrounds, and employment histories. This shift has led to the emergence of integrated screening solutions that offer end-to-end automation, reducing turnaround times and improving candidate experience. Additionally, the proliferation of gig and freelance work has expanded the scope of screening services beyond traditional full-time employment, necessitating agile and scalable solutions that cater to diverse hiring needs. The convergence of these trends is expected to sustain the market’s upward trajectory over the forecast period.

Regionally, North America continues to dominate the employment screening services market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The market in North America is characterized by a mature regulatory environment, high digital adoption rates, and a strong presence of leading screening service providers. Europe is witnessing steady growth due to the enforcement of data protection regulations such as GDPR, while Asia Pacific is emerging as a lucrative market driven by rapid economic development and increasing awareness of workforce risk management. Latin America and the Middle East & Africa, although smaller in market share, are expected to experience accelerated growth as organizations in these regions increasingly recognize the value of comprehensive employment screening in mitigating operational risks.

Service Type Analysis

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AI-Powered Postpartum Depression Screening Market Outlook

According to our latest research, the global AI-powered postpartum depression screening market size reached USD 412.7 million in 2024, reflecting a rapidly growing adoption of artificial intelligence in maternal mental health diagnostics. The market is forecasted to expand at a robust CAGR of 19.8% from 2025 to 2033, positioning the sector to achieve a projected value of USD 2,024.3 million by 2033. This significant growth is driven by increasing awareness of postpartum depression, the integration of advanced AI technologies in healthcare, and rising demand for early and accurate mental health screening tools worldwide, as per our latest research findings.

One of the core growth drivers for the AI-powered postpartum depression screening market is the increasing global recognition of postpartum depression (PPD) as a critical public health challenge. With PPD affecting an estimated 10-20% of new mothers globally, healthcare systems are under pressure to provide effective screening and intervention. Traditional screening methods often fall short due to subjective assessments and limited accessibility. The emergence of AI-powered tools addresses these gaps by leveraging machine learning and natural language processing to analyze behavioral, physiological, and psychological data, enabling more accurate and early detection of depressive symptoms. In addition, the stigma surrounding mental health is gradually diminishing, leading to higher rates of screening and diagnosis, further propelling market growth.

Another key factor fueling the expansion of the AI-powered postpartum depression screening market is the rapid digital transformation within the healthcare sector. The integration of electronic health records, wearable devices, and telemedicine platforms provides a rich data ecosystem where AI algorithms can deliver real-time, personalized assessments. The scalability and efficiency of AI-based solutions are particularly appealing in resource-constrained settings, where access to mental health professionals may be limited. Furthermore, ongoing advancements in AI accuracy, interoperability, and user experience are encouraging healthcare providers to adopt these technologies as part of routine postnatal care, thus driving both demand and innovation across the market.

Government initiatives and funding for maternal health programs have also played a pivotal role in market acceleration. Many countries have launched national strategies to combat maternal mental health disorders, emphasizing the importance of early detection and intervention. Regulatory authorities are increasingly supportive of digital health solutions, providing clearer guidelines and faster approval pathways for AI-powered screening tools. In addition, collaborations between public health agencies, academic institutions, and technology companies are fostering an environment conducive to research, development, and deployment of advanced screening platforms, thereby strengthening the market’s foundation for sustained growth.

Regionally, North America remains the dominant market for AI-powered postpartum depression screening, underpinned by robust healthcare infrastructure, high digital literacy, and significant investments in AI research. Europe follows closely, benefiting from progressive healthcare policies and widespread adoption of telemedicine. The Asia Pacific region is emerging as a high-growth market, driven by large population bases, increasing awareness of maternal mental health, and expanding digital healthcare ecosystems. Latin America and the Middle East & Africa are also witnessing gradual uptake, supported by improving healthcare access and mobile health initiatives. The global landscape is thus characterized by both mature and emerging markets, each contributing to the overall expansion trajectory.

Component Analysis

The AI-powered postpartum depression screening market is segmented by component into software, hardware, and services, each playing a distinct role in the ecosystem. Software solutions dominate the segment, accounting for the largest share in 2024, largely due to the proliferation of AI-based diagnostic platforms, mobile applications, and cloud-based analytics tools. These solutions utilize sophisticated algorithms to interpret patient data from various sources, including questionnaires, speech patterns, facial expressions, and physiological signals, deliver

Pre-Employment Screening Software Market Outlook

The global pre-employment screening software market size was valued at USD 1.3 billion in 2023 and is anticipated to reach USD 2.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.1% during the forecast period. This growth is largely driven by increasing stringent regulatory requirements, rising concerns over workplace safety, and the need for organizations to minimize risk through effective hiring practices.

One of the primary growth factors for the pre-employment screening software market is the increasing emphasis on regulatory compliance across various industries. Companies are under constant pressure to adhere to stringent regulations and standards that mandate thorough background checks and screenings for potential employees. This is particularly critical in sectors such as finance, healthcare, and government, where the implications of hiring unqualified or fraudulent individuals can be catastrophic. Consequently, organizations are investing significantly in robust pre-employment screening solutions to ensure compliance and mitigate associated risks.

Another significant driver of market growth is the rising concern over workplace safety and security. In today's corporate environment, ensuring a safe workplace extends beyond physical safety to include safeguarding organizational data and intellectual property. Employers are increasingly adopting comprehensive pre-employment screening processes to vet candidates thoroughly and identify any potential red flags, such as criminal history or fraudulent credentials, that may pose a threat to the organization. The software provides a seamless and efficient way to conduct these checks, contributing to its burgeoning market.

The advent of advanced technologies such as artificial intelligence (AI) and machine learning (ML) has also significantly bolstered the growth of the pre-employment screening software market. These technologies enable more accurate and faster processing of vast amounts of applicant data, enhancing the reliability and efficiency of the screening process. AI and ML algorithms can identify patterns and anomalies that might be missed during manual checks, thus providing a more comprehensive assessment of candidates. This technological evolution is propelling the market forward and enabling organizations to make more informed hiring decisions.

Regionally, North America holds a prominent position in the global pre-employment screening software market. The region's dominance can be attributed to the high adoption rate of advanced technologies, stringent regulatory requirements, and the presence of major market players. Additionally, Asia Pacific is expected to exhibit the fastest growth during the forecast period, driven by increasing digital transformation, economic growth, and the rising need for secure hiring practices in emerging economies such as India and China.

Component Analysis

The pre-employment screening software market can be segmented by component into software and services. The software component includes platforms and applications that facilitate the screening process, while the services component encompasses professional and managed services that support the use and optimization of these software solutions. The software segment is anticipated to hold the largest market share, driven by the growing need for automated and scalable solutions to handle large volumes of applications efficiently. Advanced features such as integrated databases, real-time analytics, and customizable screening modules make these software solutions indispensable for modern HR departments.

Within the software segment, cloud-based solutions are particularly gaining traction due to their scalability, flexibility, and cost-effectiveness. Organizations are increasingly opting for cloud-based pre-employment screening software to leverage benefits such as reduced IT infrastructure costs, ease of deployment, and remote accessibility. These solutions also facilitate seamless updates and integration with other HR systems, thereby enhancing overall efficiency. As a result, the software segment is expected to maintain its dominance throughout the forecast period.

The services segment, although smaller in market share compared to software, plays a crucial role in the pre-employment screening ecosystem. Professional services include consulting, implementation, and training, which help organizations make the most out of their screening software. Managed services involve ongoing support and maintenance, ensurin

Pharmaceuticals and their transformation products (TPs) in wastewater are emerging contaminants that pose risks to ecosystems and human health. Here, a typical period marked by the easing of the “zero-COVID” policy in December 2022, resulting in unprecedented infections in China, was chosen to illustrate the environmental impact of pharmaceutical usage during the COVID-19 pandemic. A suspect screening workflow was developed to identify pharmaceuticals and transformation products (TPs) in wastewater influent and effluent from a wastewater treatment plant (WWTP) during the peak and postpeak periods of COVID-19, integrating medication recommendations and TPs’ prediction. A total of 114 pharmaceuticals and TPs were identified (13 TPs were detected for the first time in WWTP) by using liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS). Wastewater-based epidemiology analysis showed that the most predominant pharmaceuticals were nonsteroidal anti-inflammatory drugs. Interestingly, the consumption of propafenone increased after the infection peak, possibly linked to long COVID-19 symptoms. Risks were further evaluated based on concentration, detection frequency, and PMT (persistence, mobility, and toxicity) properties, revealing that TPs of aminopyrine, acetaminophen, etc. showed even greater ToxPi scores than their parent compounds. This study highlights the elevated risks posed by pharmaceutical discharge during epidemics and the necessity for TPs’ monitoring.

Meta-analysis is a crucial tool for accumulating evidence in basic and applied research. In the open science era, meta-analysis becomes an important way for integrating open data from different sources. Meanwhile, because of researchers’ high degree of freedom introduced by multiple-steps and multiple-choices in each step of meta-analysis, openness and transparency are crucial for reproducing the results of meta-analysis. To reflect the transparency and openness of meta-analysis reports published in Chinese journals and improve the transparency and openness of future meta-analysis by Chinese researchers, we developed a Chinese version of a checklist for meta-analysis (Preferred Reporting Items for Open and Reproducible Meta-analysis, PRIOR-MA), which was based on the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) and the principle of openness and transparency. We then surveyed the methods and results of 68 meta-analysis papers published in mainstream Chinese psychological journals in the last five years. Our results revealed that the openness and transparency of Chinese meta-analysis reports need to be improved, especially in the following aspects: the date/time and limitation of literature search, the details of screening and data collection, the flow chart of article screening, the details of effect size transformation, and the evaluation of individual research bias. The checklist, which lists almost all aspects that an open meta-analysis should include, can be used as a guide for future meta-analyses. This paper provides a comprehensive checklist (PRIOR-MA) for open meta-analysis and provides a reference for future meta-analytic research.

Advance Screening Known Traveler Program Market Outlook

As per our latest research, the global Advance Screening Known Traveler Program market size in 2024 stands at USD 2.48 billion, reflecting a robust demand for advanced security and traveler facilitation systems worldwide. The market is experiencing a strong growth momentum, registering a CAGR of 11.2% from 2025 to 2033. By the end of the forecast period in 2033, the market is projected to reach a significant USD 6.47 billion. This expansion is primarily driven by the rising need for seamless and secure cross-border travel, increasing global passenger volumes, and the adoption of biometric and data analytics technologies to enhance identity verification and risk assessment processes.

One of the primary growth factors propelling the Advance Screening Known Traveler Program market is the intensifying focus on security in international travel and border management. Governments and transportation authorities are under pressure to balance the dual imperatives of facilitating smooth traveler experiences and ensuring robust national security. The persistent threat of terrorism and transnational crime has compelled authorities to adopt sophisticated screening solutions that can accurately authenticate identities and assess risks in real time. The integration of biometric systems, advanced analytics, and automated identity management tools is enabling agencies to streamline the traveler vetting process while maintaining high security standards. This heightened emphasis on security, coupled with regulatory mandates and international cooperation, is fueling the widespread deployment of advance screening programs across airports, seaports, and land borders.

Another crucial driver is the exponential increase in global passenger traffic, especially in the aviation sector, which is placing immense pressure on existing screening infrastructure. As air travel rebounds and grows post-pandemic, airports and airlines are investing heavily in digital transformation initiatives to manage surging traveler volumes without compromising efficiency or safety. The Known Traveler Program, which leverages pre-screening and risk-based assessment, is increasingly seen as a critical enabler for reducing bottlenecks and wait times at checkpoints. By pre-qualifying low-risk travelers through advanced data analytics and biometrics, authorities can allocate resources more efficiently and enhance the overall passenger experience. This operational advantage is prompting a surge in adoption among both government agencies and private sector stakeholders.

Technological innovation is also playing a transformative role in shaping the Advance Screening Known Traveler Program market. The convergence of artificial intelligence, machine learning, biometric recognition, and cloud computing is enabling the development of next-generation screening solutions that are more accurate, scalable, and user-friendly. Vendors are offering modular, interoperable platforms that can integrate seamlessly with existing infrastructure and adapt to evolving threats. This technological dynamism is fostering a competitive market landscape, encouraging continuous improvement and lowering barriers to adoption for both established and emerging economies. The growing availability of cloud-based deployment options is further democratizing access to advanced screening capabilities, opening new growth avenues across diverse transportation hubs and border control points.

From a regional perspective, North America currently dominates the Advance Screening Known Traveler Program market, accounting for the largest share of global revenues in 2024. This leadership is underpinned by early adoption, substantial government investment, and a highly developed travel infrastructure. However, the Asia Pacific region is emerging as the fastest-growing market, driven by rapid urbanization, expanding air travel networks, and proactive government initiatives to modernize border security. Europe also remains a key market, characterized by stringent regulatory frameworks and cross-border travel agreements. Meanwhile, Latin America and the Middle East & Africa are witnessing steady uptake, supported by infrastructure upgrades and increasing international travel flows. The interplay of these regional dynamics is shaping a vibrant, globally integrated market for advance traveler screening solutions.

The global employment screening services market, valued at $4210.2 million in 2025, is projected to experience robust growth, driven by a compound annual growth rate (CAGR) of 4.6% from 2025 to 2033. This expansion is fueled by several key factors. The increasing emphasis on workplace safety and security necessitates thorough background checks, particularly in sectors like healthcare, finance, and education. Furthermore, the rising incidence of workplace fraud and misconduct compels organizations to adopt robust screening processes to mitigate risks. Technological advancements, such as AI-powered screening tools and advanced data analytics, are also streamlining the process, enhancing efficiency, and reducing costs, contributing to market growth. The increasing adoption of cloud-based solutions further accelerates this trend, offering scalability and accessibility to businesses of all sizes. Competitive pressures and the need to hire the right candidates quickly are also pushing organizations to utilize specialized employment screening services. However, the market faces certain challenges. Data privacy regulations and concerns surrounding candidate bias are crucial considerations. Maintaining data accuracy and ensuring compliance with evolving legal frameworks is essential for providers. The cost of comprehensive background checks and the potential for false positives can also act as restraints. Nevertheless, the ongoing digital transformation of HR processes and a persistent need for secure hiring practices are expected to outweigh these challenges, resulting in sustained market growth throughout the forecast period. Key players like Equifax, Experian, TransUnion, and others are continuously innovating and expanding their service offerings to meet the evolving demands of the market. Geographic expansion, particularly in emerging economies with growing formal employment sectors, presents significant opportunities for growth.

Employee Biometric Screening Market Outlook

The global employee biometric screening market size was valued at approximately $1.8 billion in 2023 and is projected to reach $5.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 13.2% from 2024 to 2032. The surge in demand for enhanced security measures, coupled with advancements in biometric technologies, is driving the growth of this market. As organizations across various sectors increasingly prioritize secure and efficient identification methods, the adoption of biometric screening solutions has seen significant momentum.

The growth factors for the employee biometric screening market are multifaceted. One primary driver is the escalating need for robust security systems to combat identity fraud and unauthorized access. In a world where data breaches and cyber threats are becoming more frequent and sophisticated, businesses are investing heavily in technologies that can secure sensitive information and ensure that only authorized personnel have access to critical areas. Biometrics, with its unique and difficult-to-replicate identifiers, provides an effective solution to these challenges. Furthermore, regulations and compliance requirements in various industries necessitate higher security standards, further propelling the adoption of biometric screening.

Another significant growth factor is the increasing operational efficiency that biometric screening offers. Unlike traditional identification methods, such as password-based systems or ID cards, biometric systems provide quick and accurate verification, reducing time spent on identity verification processes. This efficiency translates to cost savings for businesses, as fewer resources are needed for managing and maintaining security protocols. Additionally, the convenience offered by biometric systems enhances user experience, fostering a smoother workflow and reducing bottlenecks in high-security environments.

Technological advancements are also playing a crucial role in the expansion of the biometric screening market. Innovations in artificial intelligence and machine learning have significantly improved the accuracy and reliability of biometric systems. As these technologies evolve, they become more accessible and affordable, allowing even small and medium enterprises (SMEs) to implement sophisticated security measures. The integration of biometrics with other advanced systems, such as cloud computing and IoT, further enhances the capabilities and appeal of these solutions, making them indispensable tools for modern enterprises.

From a regional perspective, North America holds a substantial share of the employee biometric screening market, driven by the presence of major technology providers and a high adoption rate of advanced security systems. Europe is also a key market, with stringent regulatory frameworks and a strong emphasis on data privacy fostering the adoption of biometric solutions. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate, owing to rapid digital transformation and increasing investments in security infrastructure. Emerging economies in Latin America and the Middle East & Africa are gradually catching up, as they seek to enhance their security protocols and comply with global standards.

The integration of Healthcare Biometric solutions is revolutionizing patient care and data management within the healthcare sector. By employing biometric technologies such as fingerprint and facial recognition, healthcare providers can ensure secure access to sensitive patient information, thereby safeguarding data integrity and privacy. These technologies not only enhance the accuracy of patient identification but also streamline administrative processes, reducing the risk of human error. As healthcare organizations strive to comply with stringent regulations like HIPAA, the adoption of biometric solutions becomes increasingly critical. Furthermore, the use of biometrics in telemedicine is gaining momentum, providing secure and efficient patient verification during remote consultations, which is crucial in today's digital health landscape.

Technology Analysis

Fingerprint Recognition Analysis

Fingerprint recognition is one of the most widely used biometric technologies in the employee biometric screening market. Its popularity stems from its high accuracy, ease of use, and cost-effectiveness. Fingerprint scanners utilize the unique pattern

Background: People living with cystic fibrosis have an increased risk of lung infection with non-tuberculous mycobacteria (NTM), which is reportedly increasing. We conducted a systematic review of the literature to estimate the burden (prevalence and incidence) of non-tuberculous mycobacteria in the cystic fibrosis population. Methods: Electronic databases, registries, and grey literature sources were searched for cohort and cross-sectional studies reporting epidemiological measures (incidence and prevalence) of NTM infection or NTM pulmonary disease (NTM-PD) in cystic fibrosis. The last search was conducted in September 2021; we included reports since database creation and registry reports published since 2010. The methodological quality of studies was appraised with the Joanna Briggs Institute tool. A random-effects meta-analysis was conducted to summarize the prevalence of NTM infection, and the remaining results are presented in a narrative synthesis. Results: Ninety-five studies were included in this review. All 95 studies reported on NTM infection, and 14 of these also reported on NTM-PD. The pooled estimate for the point prevalence of NTM infection was 7.9% (CI 95%, 5.1–12.0%). In meta-regression, sample size and geographical location of the study modified the estimate. Longitudinal analysis of registry reports showed an increasing trend in NTM infection prevalence between 2010 and 2019. Conclusions: The overall prevalence of NTM infection in CF is 7.9% and is increasing over time based on international registry reports. Future studies should report screening frequency, microbial identification methods, and incidence rates of progression from NTM infection to pulmonary disease. Methods Review question We designed our review question based on population, condition, outcome (epidemiological measure) and study design, as recommended by current guidelines. Briefly, we screened for cross-sectional or cohort studies reported in English including people with CF (population) and evaluating NTM infection or NTM-PD (condition). NTM infection was defined as isolation of any NTM on at least one occasion per patient; the criteria for NTM-PD were specified in each study. Reporting of at least one epidemiologic measure among incidence rate, incidence proportion, point prevalence, or period prevalence was required for inclusion. The full criteria are described in Supplementary Table 1. The review protocol was registered to the International Prospective Register of Systematic Reviews, PROSPERO (CRD42020200418) in July 2020. In October 2020, before the abstract screening, we updated the grey literature sources and screening procedures. Literature search EMBASE and MEDLINE were searched in September 2020 using the criteria specified in Supplementary Methods 1; an updated search was conducted in September 2021. We manually reviewed the conference proceedings from relevant research meetings between 2010 and 2020 (North American Cystic Fibrosis, European Cystic Fibrosis Society, American Thoracic Society, and the Infectious Diseases Society of America conferences). Also, we performed forward and backward searches for highly cited references in Web of Science (listed in Supplementary Table 2) using Google Scholar and Web of Science. Finally, the United States of America (CF Foundation), Canadian (CF Canada), European (European CF Society), Australian, and Brazilian registry reports published between 2010 and 2021 were included. Screening and data extraction All records were retrieved and exported in Research Information Systems format. Initial manual deduplication evaluated Author, Title, and Year of publication. Then, we performed automated deduplication using the SRA De-Duplicator software and Covidence. Screening of reports and full-text manuscripts, data extraction, and risk of bias assessment was conducted independently by two reviewers (M.P. and M.A.); discrepancies were solved by consensus or by a third reviewer (B.Q.). Epidemiological measures of interest reported in each study were included for analysis. Abstract screening evaluated language, study type, the inclusion of CF population, and reporting of any measures of interest. Full-text screening evaluated all eligibility criteria defined in Supplementary Table 1. For unretrievable reports, we requested access to unpublished full manuscripts from authors via email on at least two separate occasions. The Joana Briggs Institute tool was used to assess methodological and reporting quality. Overall low risk of bias was defined as low risk in the assessments of the sampling frame, sample size, population description, and statistical methods. High risk was determined by a high-risk assessment in any of the following: sampling frame, sampling scheme, sampling size, population description, identification methods, or statistical calculation. Data extraction was based on a pre-specified data dictionary piloted with 10 studies (Supplementary Table 2). For period prevalence, point prevalence, and incidence proportion, we extracted proportions, the number of cases, and the sample size. We did not impute any missing data. In studies with unclear years of data collection, we assumed that data was obtained from the year before publication. The body of evidence was not evaluated for certainty given the lack of adapted tools for single-proportion measures. Data analysis Data were analyzed with the meta and metafor packages in R studio and R version 4.1.1. Risk of bias plots were produced with the robvis and ggplot2 packages, and tables with the flextable package. We pre-specified the use of random-effects models based on expected heterogeneity by study region and dates. To model proportion data, we used generalized linear models with LOGIT transformation. Point and annual prevalence of NTM infection were summarized together in the meta-analysis because they contain comparable time frames of evaluation (a year or less). The remaining epidemiologic measures including period prevalence of NTM infection, incidence of NTM infection, prevalence (point or period) of NTM-PD, and incidence of NTM-PD are reported in supplementary tables and text only. Period prevalence of NTM infection and NTM-PD were not pooled due to varying time intervals among studies, while the rest of the epidemiologic measures had a small number of studies. To avoid the overrepresentation of registry reports in the meta-analysis, we included only the most recent report per registry with both numerator and denominator available to calculate prevalence. Secondary data analyses of registry data were also excluded from meta‑analysis to reduce redundancy with the registry reports. Heterogeneity was assessed with the I2 index and 95% confidence interval, with a significance level established at p < 0.10. Publication bias was explored graphically using sample size as a predictor of bias in the funnel plot. We pre-specified subgroup analyses by study design, age category (pediatric vs adult), year of data collection (before 2000, 2001 to 2009, and 2010–2019), geographical region (grouped as North America, Europe, and others), and the most common individual NTM species reported in CF (Mycobacterium abscessus complex (MABs) and Mycobacterium avium complex (MAC)). The prespecified meta-regression model was optimized by maximum likelihood and used the same transformation as the meta-analysis (LOGIT). We evaluated the goodness of fit in the model using Akaike’s information criteria by stepwise inclusion of pre-specified coefficients. Exploratory (unspecified) analyses include a longitudinal trend of prevalence in registries and subgroup analyses by region for MAC and MABs. Sensitivity analyses included three meta-analyses of NTM infection point (and annual) prevalence. The first excluded a study that screened patients only in the presence of increased symptoms, the second included only registry data, and the third excluded studies that did not use standardized culture media for identification of NTM. Reporting is based on the recommendations of the Joanna Briggs Institute and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist.

The Reproductive Embryo Chromosome Screening Technology market is experiencing a significant transformation, driven by advancements in genetics and a growing awareness of reproductive health. This cutting-edge technology is designed to screen embryos for chromosomal abnormalities during in vitro fertilization (IVF),

Abstract:Innovation is the source of sustainable competitive advantage for manufacturing enterprises. Digital transformation has brought both opportunities and challenges to the innovation of manufacturing enterprises. How manufacturing enterprises can empower their innovation performance through digital transformation is the focus of both theoretical and practical studies. The study investigates the mechanism and boundary conditions of digital transformation's impact on innovation performance in manufacturing firms, drawing on theories of digital empowerment and dynamic capability. A questionnaire survey was conducted to gather data from 236 manufacturing firms. The validity of the collected data was ensured through rigorous screening. Subsequently, statistical analysis and model validation were performed using SPSS, AMOS, and STATA software. The findings suggest that the business process digitization has a significant positive impact on innovation performance. However, there is a significant inverted U-shaped relationship between the product service digitization and innovation performance; Organizational resilience comprises the capability to adapt and the capability to beyond, both of which play a positive moderating role in the relationship between digital transformation and innovation performance. The study extends the research on the relationship and boundary conditions of the impact of digital transformation and innovation performance, which holds scientific and practical value for the implementation of digital transformation and innovation in enterprises.

Privacy Screen Filters Market Outlook

The global privacy screen filters market size was valued at USD 2.3 billion in 2023 and is projected to reach USD 4.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.1% during the forecast period. The market's growth is driven by increasing awareness of data privacy and security concerns in both personal and professional environments. This surge is further fueled by the rise in remote working patterns, which necessitate enhanced security measures for screens to prevent data breaches and unauthorized access.

The rapid proliferation of digital devices in both corporate and personal landscapes has significantly driven the demand for privacy screen filters. With the increasing emphasis on data security and the necessity to safeguard sensitive information, privacy screen filters have gained prominence. The integration of these filters into laptops, desktops, tablets, and smartphones ensures that only the user can view the screen content, which is paramount in preventing data theft and unauthorized viewing. Moreover, the growing implementation of data protection regulations across various regions is compelling organizations to adopt stringent data security measures, thereby boosting the market for privacy screen filters.

The adoption of remote working policies by numerous organizations due to the COVID-19 pandemic has further propelled the demand for privacy screen filters. As employees operate from diverse locations, ensuring that sensitive corporate data remains confidential has become crucial. This trend is expected to continue post-pandemic, as organizations recognize the benefits of remote working and opt for hybrid working models. Consequently, the need for privacy screen filters will persist, fostering market growth. Additionally, the rising usage of digital devices in educational institutions, government agencies, and healthcare facilities is contributing to market expansion, as these sectors increasingly prioritize data security.

The advancements in privacy screen filter technology are another significant growth driver. Recent innovations have led to the development of high-quality, durable, and easy-to-install privacy filters that provide clear visibility to the user while blocking the view from side angles. These advancements have improved user experience and increased the adoption of privacy screen filters across various sectors. Furthermore, the availability of customized filters tailored to fit specific device models is expanding the market reach. Enhanced marketing strategies and increased awareness campaigns by manufacturers are also playing a pivotal role in boosting the market.

From a regional perspective, the North American market is anticipated to dominate the global privacy screen filters market, owing to the high adoption rate of digital devices and stringent data protection regulations. The Asia Pacific region is expected to exhibit the highest growth rate due to the increasing number of internet users and the rapid digital transformation of various industries. Europe, Latin America, and the Middle East & Africa are also witnessing steady growth, driven by rising awareness of data privacy and the increasing implementation of data security measures in corporate, educational, and healthcare sectors.

Product Type Analysis

The privacy screen filters market is segmented by product type into laptop privacy screen filters, desktop privacy screen filters, tablet privacy screen filters, and smartphone privacy screen filters. Each segment caters to specific device types, addressing the unique privacy and security needs associated with their usage. Laptop privacy screen filters hold a significant market share due to the widespread use of laptops in corporate environments, where data security is a priority. These filters are essential for professionals who work in public places or open office environments, ensuring that their confidential information remains shielded from prying eyes.

Desktop privacy screen filters are crucial in maintaining data security within corporate offices and government agencies, where desktop computers are extensively used. These filters provide a cost-effective solution for organizations to comply with data protection regulations and prevent unauthorized viewing of sensitive information. The increasing adoption of desktop computers in educational institutions and healthcare facilities further bolsters the demand for desktop privacy screen filters. As organizations continue to prioritize data security, the demand for high-quality, durable desktop privacy screen filt

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Carrier Screening Market Size 2025-2029

The carrier screening market size is forecast to increase by USD 3.9 billion at a CAGR of 22.5% between 2024 and 2029.

The market is witnessing significant growth, driven by the increasing prevalence of genetic diseases and disorders. This trend is further fueled by the rising adoption of next-generation sequencing (NGS) technology in carrier screening. NGS technology enables the simultaneous analysis of multiple genes, increasing the efficiency and accuracy of carrier screening. Dominant and recessive genes, biochemical markers, and chromosomal microarray analysis are integral to diagnostic testing. However, the market's dynamics are influenced by varying regulations on carrier screening and research globally. These regulatory differences create challenges for market players, requiring them to navigate complex legal frameworks and adapt to diverse regulatory requirements.
Additionally, investing in research and development to improve the accuracy and affordability of carrier screening solutions could provide a competitive edge. Data security is a significant concern, with strict protocols in place to protect patient information. Overall, the market presents significant growth potential, with the integration of advanced technologies and a growing focus on early disease detection offering new opportunities for innovation. Companies seeking to capitalize on market opportunities must stay informed of these regulatory developments and develop strategies to address the associated complexities.

What will be the Size of the Carrier Screening Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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Genetic disease prevention through carrier screening is gaining momentum, fueled by the adoption of next-generation sequencing (NGS) and targeted sequencing. Variant interpretation and risk modeling are essential components of this process, which are increasingly relying on artificial intelligence (AI) and machine learning (ML) to improve accuracy and efficiency. Access to care and preconception counseling are key challenges in the market. Healthcare IT and mHealth are addressing these issues by streamlining data management and improving access to clinical decision support.

Quality control and quality assurance are paramount in this context, ensuring the reliability of test results and maintaining public health standards. Clinical trials and professional development are crucial for advancing the field of carrier screening. Reimbursement policies and healthcare equity are also significant factors influencing market trends. Predictive analytics and precision medicine are transforming the landscape by enabling personalized approaches to care, while public health initiatives aim to ensure equal access to these services. In summary, the market is undergoing rapid transformation, driven by advances in technology, a growing focus on personalized medicine, and efforts to improve access to care. These trends are shaping the future of reproductive health and genetic disease prevention.

How is this Carrier Screening Industry segmented?

The carrier screening industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Expanded
  Targeted disease


Technology

  DNA sequencing
  Polymerase chain reaction (PCR)
  Microarrays
  Others


Test

  Molecular screening tests
  Biochemical screening tests


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Type Insights

The expanded segment is estimated to witness significant growth during the forecast period. Prenatal carrier screening has evolved to encompass a comprehensive array of tests for single-gene disorders, extending beyond traditional guidelines. This expansion enables simultaneous screening for multiple genetic conditions. The American College of Obstetricians and Gynecologists (ACOG) advises practitioners to include disorders that affect at least 1 in 100 people, significantly impact quality of life, impair cognitive or physical abilities, necessitate surgical or medical intervention during childhood, and have early onset. Carrier screening tests, including second-trimester and confirmatory testing, employ risk stratification and data analysis to identify carriers. Fetal anomaly screening, fetal growth restriction, and neural tube defects are also crucial components of prenatal screening.

Genetic counselors play a vital role in patient education, informed consent, and clinical interpretation. Condition