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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Journal Publication
Scientific Abstract
Optimizing Oocyte Yield Utilizing a Machine Learning Model for Dose and Trigger Decisions, A Multi-Center, Prospective Study.
August 20th, 2024
Nature ■ Ovarian Stimulation
An artificial intelligence model to predict upcoming patient oocyte collections to help optimize efficiency and safety in the embryology laboratory.
July 3rd, 2024
ESHRE
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Ovarian Stimulation
Optimizing oocyte Yield Utilizing a Machine Learning Model for Dose and Trigger Decisions: A Multi-center, Prospective Study
July 3rd, 2024
PCRS
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Ovarian Stimulation
Post-market analysis of an AI-powered clinical decision support tool for ovarian stimulation
July 3rd, 2024
ESHRE
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Ovarian Stimulation
Using a Machine Learning Model for Identifying an Individualized Optimal Starting FSH Dose
March 20th, 2024
PCRS
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Ovarian Stimulation
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
Automated morphology grading of blastocyst stage embryos from a single image using deep learning
October 14th, 2023
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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