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
Clinical evaluation of a machine learning model for embryo selection: A double-blinded randomized comparative reader study
October 14th, 2023
ASRM
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IVF Outcomes
Evaluating the integration of two independently-developed artificial intelligence tools for predicting outcomes in ovarian stimulation
October 14th, 2023
ASRM
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Ovarian Stimulation
Automated morphology grading of blastocyst stage embryos from a single image using deep learning
October 14th, 2023
ASRM
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Embryo Grading
Impact of embryologist workload on ICSI fertilization rates
September 10th, 2023
IFFS
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IVF Outcomes
Applications of artificial intelligence in ovarian stimulation: a tool for improving efficiency and outcomes
May 18th, 2023
Fertility and Sterility ■ Ovarian Stimulation
Causal inference indicates that poor responders have similar outcomes with the antagonist protocol compared with flare
April 10th, 2023
Fertility and Sterility ■ Ovarian Stimulation
Causal inference indicates that poor responders going through a repeat cycle have comparable or better outcomes with antagonist protocol compared to flare
March 22nd, 2023
PCRS
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Ovarian Stimulation
An artificial intelligence model to predict upcoming embryology workload for patients undergoing ovarian stimulation
March 22nd, 2023
PCRS
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Embryo Grading
A higher number of oocytes retrieved is associated with an increase in 2PNs, blastocysts, and cumulative live birth rates
January 9th, 2023
Fertility and Sterility ■ IVF Outcomes
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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.
