Alife Research and Publications
We are committed to publishing our research as we work towards improving outcomes and fertility care for all
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Scientific Abstract
Sensitivity analysis of an embryo grading artificial intelligence model to different focal planes
June 30th, 2022
ESHRE
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Embryo Grading
An expected benefit analysis of using an interpretable machine learning model for optimizing the day of trigger during ovarian stimulation
June 30th, 2022
ESHRE
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Ovarian Stimulation
Large-scale simulation of pregnancy rate improvements using an AI model for embryo ranking
June 30th, 2022
ESHRE
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Embryo Grading
An expected benefit analysis of using an interpretable machine learning model for gonadotropin starting dose selection during ovarian stimulation
June 30th, 2022
ESHRE
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Ovarian Stimulation
An interpretable machine learning model for predicting the optimal day of trigger during ovarian stimulation
May 16th, 2022
Ovarian Stimulation
Characterization of an artificial intelligence model for ranking static images of blastocyst stage embryos
January 5th, 2022
Embryo Grading
A machine learning approach for forecasting follicle growth and predicting the optimal day of trigger during ovarian stimulation
October 20th, 2021
ASRM
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Ovarian Stimulation
An interpretable machine learning model for individualized protocol selection and gonadotropin dose selection during ovarian stimulation
October 19th, 2021
ASRM
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Ovarian Stimulation
Identifying potential sources of bias in deep learning models for embryo assessment
October 19th, 2021
ASRM
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Embryo Grading
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Designed For
Diversity, Equity, & Inclusion
As part of our vision to see a world where AI-powered fertility care is accessible for all families, we have committed to building a dataset that is demographically representative of the U.S. population. Today, our 2.4 million rows of data make up the largest and most diverse IVF dataset in the field, ensuring that our AI models will serve anybody hoping to build a family.
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