IVF Research and Publications | Alife

Alife Research and Publications

We are committed to publishing our research as we work towards improving outcomes and fertility care for all.

Research Topics

Recent Publications

Evaluation of Artificial Intelligence for Embryo Selection During IVF: A Prospective, Randomized Controlled Trial

Published on December 1st, 2025
Category: IVF Outcomes

A blastocyst’s implantation potential is linked to its originating oocyte cohort’s blastulation rate: evidence for a cohort effect

Published on December 11th, 2024
Category: Fertility & Sterility ■ IVF Outcomes

Evaluation of the effect on ongoing pregnancy rate of using artificial intelligence for embryo prioritization: An interim analysis of a prospective randomized control trial

Published on October 19th, 2024
Category: ASRM ■ IVF Outcomes

Optimizing Oocyte Yield Utilizing a Machine Learning Model for Dose and Trigger Decisions, A Multi-Center, Prospective Study.

Published on August 20th, 2024
Category: Nature Scientific Reports ■ Ovarian Stimulation

Clinical evaluation of an image-based artificial intelligence model for embryo selection: a double-blinded randomized comparative reader study

Published on July 3rd, 2024
Category: IVF Outcomes

An artificial intelligence model to predict upcoming patient oocyte collections to help optimize efficiency and safety in the embryology laboratory.

Published on July 3rd, 2024
Category: ESHRE ■ Ovarian Stimulation

Optimizing oocyte Yield Utilizing a Machine Learning Model for Dose and Trigger Decisions: A Multi-center, Prospective Study

Published on July 3rd, 2024
Category: PCRS ■ Ovarian Stimulation

Post-market analysis of an AI-powered clinical decision support tool for ovarian stimulation

Published on July 3rd, 2024
Category: ESHRE ■ Ovarian Stimulation

Clinical Evaluation of an Image-Based Artificial Intelligence Model for Embryo Selection: A Double-Blinded Randomized Comparative Reader Study

Published on July 3rd, 2024
Category: ESHRE ■ Embryo Grading

Using a Machine Learning Model for Identifying an Individualized Optimal Starting FSH Dose

Published on March 20th, 2024
Category: PCRS ■ Ovarian Stimulation

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.