nthakur/bge-retrieval-data-ivf-passage-pruning-fixed-200K dataset hosted on Hugging Face and contributed by the HF Datasets community

nthakur/bge-retrieval-data-ivf-query-pruning-fixed-200K dataset hosted on Hugging Face and contributed by the HF Datasets community

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.

Internal listing of current employees and authorized users who can access SSA applications.

29 Indonesia exporters importers export import shipment records of Ivf equipment with prices, volume & current Buyer's suppliers relationships based on actual Indonesia export trade database.

The Russian Fertility Database of the International Laboratory for Population and Health of HSE University contains fertility rates in Russia for the period from 1946 to 2022 and for women born in 1932-1988. The Russian Fertility Database is primarily oriented to the experts involved in demographic analysis. The data are presented in *.xlsx format.

All indicators presented in the database are calculated on the basis of population statistics data from the Federal State Statistics Service. Birth rates for 1946-1958 are calculated on the basis of the numbers of births by birth order and mother's age for 1946-1958 and population data for 1946-1958 presented in the book Andreev E.M., Darsky L.E., Kharkova T.L. (1998) Demographic History of Russia: 1927-1959. M.: Informatika. 187 p. Birth rates for 1959-2022 are calculated on the basis of the numbers of births by birth order and mother's age for 1959-2022 and data on the age distribution of the population for 1959-2023.

This layer shows fertility in past 12 months by age of mother. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. The calculated percentages are slightly different from traditional age-specific fertility rates in that the total number of live births (due to twins or higher-order multiple births) is not available in this table. This layer is symbolized to show the percent of women age 15 to 50 who had a birth in the past 12 months. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B13016 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Data were updated on September 11, 2024.

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.

nthakur/bge-retrieval-data-ivf-passage-pruning-fixed-50K dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset includes crude birth rates and general fertility rates in the United States since 1909. The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births. SOURCES NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

This dataset contains the following files:

· Extended Data 1: Changes to Methodology from Protocol

· Extended Data 2: List of Included Documents (n=105); List of Potentially Relevant Studies that were not Located (n=8)

· Extended Data 3: Data Extraction Table

· Extended Data 4: Completed PRISMA ScR Checklist

These files comprise extended data for the paper:

Earley, A., O’Dea, A., Madden, C., O’Connor, P., Byrne, D., Murphy, AW., & Lydon, S (2024). A Scoping Review of Infertility Research conducted in the Republic Of Ireland. Under review.

This is the dataset of the study called "The optimal period for oocyte retrieval after the administration of recombinant human chorionic gonadotropin in in vitro fertilization".

Abstract

Background

Our objective was to investigate the existence of an optimal period for oocyte retrieval in regards to the clinical pregnancy occurrence after the administration of recombinant human chorionic gonadotropin (rhCG) (Ovitrelle®).

Methods

We studied the digital records of 3362 middle eastern couples who underwent in vitro fertilization (IVF) treatment between 2019 and 2021.

Results

Through statistical testing, we found that there is a significant positive correlation between the oocyte retrieval period and the clinical pregnancy occurrence up to the 37th hour, where retrieval at the 37th hour was found to provide the most optimal outcome, especially in the case of gonadotropin-releasing hormone agonist (GnRHa) long protocol.

Conclusions

This cohort study recommends retrieval at hour 37 after ovulation triggering under the described conditions.

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Assisted Reproductive Technology Market Size 2024-2028

The assisted reproductive technology market size is forecast to increase by USD 6.3 billion at a CAGR of 4.36% between 2023 and 2028.

The increase in the rate of infertility and obesity-related cases is the key driver of the assisted reproductive technology market. Cook Group Inc. is a key player, offering assisted reproductive technology services through products like the MNC Benchtop incubator. This innovative incubator helps maintain optimal conditions for embryos during in vitro fertilization, supporting fertility clinics in achieving higher success rates. 
As infertility rates rise, Cook Group's advanced solutions contribute to the growing demand for assisted reproductive technologies. Infertility, a growing health concern in the US, is leading to an increased demand for fertility supplements, fertility services, and fertility medication and drugs. In Vitro Fertilization (IVF) is a popular ART procedure, and the market for IVF devices and disposables is thriving. 

What will be the Size of the Assisted Reproductive Technology Market during the Forecast Period?

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The World Health Organization (WHO) and various regulatory bodies oversee ART practices, ensuring adherence to ethical guidelines and safety standards. The ART market size is substantial, with ongoing advancements in technology leading to innovations like fresh and frozen non-donor eggs and embryos, and ongoing research addressing challenges like prematurity and ethical dilemmas.

How is this Assisted Reproductive Technology Industry segmented?

The assisted reproductive technology industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Fertility clinics
  Hospitals
  Others


Type

  IVF
  Artificial insemination


Product

  Instrument
  Accessory & Disposable
  Reagents & Media


Geography

  Europe

    Germany
    UK


  North America

    US


  Asia

    China
    Japan


  Rest of World (ROW)

By Application Insights

The fertility clinics segment is estimated to witness significant growth during the forecast period. The market is witnessing growth due to the rising number of infertility patients worldwide. Fertility clinics lead this market, driven by the increasing success rates of these clinics. The success rate is determined by the number of treatments performed and the resulting pregnancies or live births. High success rates attract more patients, both domestically and internationally, making popular fertility clinics key players In the ART market. Socio-ethical issues, such as smoking, alcoholism, drug addiction, and surrogacy, influence the ART market. CRB rate, human rights campaigns, and socio-ethical considerations impact the demand for ART solutions.

Technologies like cryopreservation, fertility medication, sperm analytical devices, ovulation induction, intrauterine insemination, intracervical insemination, intravaginal insemination, intratubal insemination, and treatments for minor fertility conditions cater to various patient needs. Same-sex couples, single women, and men and women seeking fertility treatment also contribute to the market's growth. The ART market encompasses various procedures, including the use of fresh and frozen donor gametes, embryos, and fertility drugs. The World Health Organization, hospitals, and various research organizations study the ethical issues surrounding ART, including premature birth, reduced success rates, and the use of fresh non-donor and frozen non-donor IVF.

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The fertility clinics segment was valued at USD 13.88 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

Europe is estimated to contribute 33% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market size of various regions, Request Free Sample

The European the market is experiencing growth due to the increasing infertility issues among the elderly population, resulting from declining egg quality among women. Major European countries, including Italy, the UK, Germany, France, and Spain, are significant contributors to this market. With an average fertility rate of approximately 1.5 children per woman, there is a growing demand for advanced infertility treatments. These treatments offer significant opportunities for healthcare providers such as hospitals and fertility clinics. Government and non-government organizations are increasing their efforts to raise awareness about fertility

Graph and download economic data for Fertility Rate, Total for the United States (SPDYNTFRTINUSA) from 1960 to 2022 about fertility, rate, and USA.

Limited translational genomic research data have been reported on the application of exome sequencing and parallel gene testing for preconception carrier screening (PCS). Here, we present individual-level data from a large PCS program in which exome sequencing was routinely performed on either gamete donors (5,845) or infertile patients (8,280) undergoing in vitro fertilization (IVF) treatment without any known family history of inheritable genetic conditions. Individual-level data on pathogenic variants were used to define conditions for PCS based on criteria for severity, penetrance, inheritance pattern, and age of onset. Fetal risk was defined based on actual carrier frequency data accounting for the specific inheritance pattern (fetal disease risk, FDR). In addition, large-scale application of exome sequencing for PCS allowed a deep investigation of the incidence of medically actionable secondary findings in this population. Exome sequencing achieved remarkable clinical sensitivity for reproductive risk of highly penetrant childhood-onset disorders (1/337 conceptions) through analysis of 114 selected gene-condition pairs. A significant contribution to fetal disease risk was observed for rare (carrier rate < 1:100) and X-linked conditions (16.7% and 41.2% of total FDR, respectively). Subgroup analysis of 776 IVF couples identified 37 at increased reproductive risk (4.8%; 95% CI = 3.4–6.5). Further, two additional couples had increased risk for very rare conditions when both members of a parental pair were treated as a unit and the search was extended to the entire exome. About 2.3% of participants showed at least one pathogenic variant for genes included in the updated American College of Medical Genetics and Genomics v2.0 list of secondary findings. Gamete donors and IVF couples showed similar carrier burden for both carrier screening and secondary findings, indicating no causal relationship to fertility. These translational research data will facilitate development of more effective PCS strategies that maximize clinical sensitivity with minimal counterproductive effects.

Switzerland Fertility Rate: Total: Births per Woman data was reported at 1.540 Ratio in 2016. This stayed constant from the previous number of 1.540 Ratio for 2015. Switzerland Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.530 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.660 Ratio in 1964 and a record low of 1.380 Ratio in 2001. Switzerland Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

In 2022, there were 333 fertility centers for assisted procreation in Italy. According to the data, the highest ratio of fertility centers offering medical treatments for infertile patients was reported in Lombardy, which hosted 16.5 percent of the total fertility centers in Italy. This figure shows the distribution of fertility centers for assisted procreation in Italy in 2022, by region.

[227+ Pages Report] The global In Vitro Fertilization (IVF) market size was valued at USD 628.50 million in 2021 and is expected to reach a value of USD 1,036.7 million by 2028 with growth at a CAGR of XX% from 2022 to 2028.

Provides data on the number of children that women aged 15-50 have ever had, year of first birth, mother's age at first birth, and marital status at first birth.