Our Research

We're a Consortium of Academic Institutions That Focuses On Analyzing Placentas Using A.I.


A.I. Development

We will develop AI-based software that accurately identifies a range of placental features and diagnoses from digital images.


Improving Reliability and Robustness

We will improve the reliability and robustness of the software under different conditions.


Clinical Data Integration

We will test and quantify improvements in software accuracy with medical data input.

About Us

PlacentaVision is an NIH-funded R01 project.

The goal of this project is to develop and validate software to assess placentas from digital photographs in any delivery setting

The resulting software will glean visual characteristics from the disc, cord, and membranes and accurately identify specific features (e.g., shape) and diagnoses (e.g., chorioamnionitis). The immediate information could impact clinical care before hospital discharge, and ease-of-use will allow inclusion in pregnancy research. This software has the ability to strengthen traditional pathology exams by standardizing and enhancing the data collected, providing better information to pathologists.

The project's three MPIs are listed below.

Alison D. Gernand, Ph.D., MPH

Nutritional Sciences, Penn State

James Z. Wang, Ph.D., M.S., M.S.

Data Science and A.I., Penn State

Jeffery A. Goldstein, M.D., Ph.D.

Pathology, Northwestern University

Other Team Members

Kelly Gallagher, Ph.D., M.S., Rachel Walker, Ph.D., M.S.

Ph.D. Students: Yimu Pan, Max Mehta, M.S., Dolzodmaa Davaasuren, M.S., Chenyan Wu

Past Team Members: Yukun Chen, Ph.D., Zhuomin Zhang, Ph.D.


Janet Catov, Ph.D., M.S., Yoel Sadovsky, M.D., Stefan Kostadinov, M.D., Lauren Skvarca, M.D., Ph.D., Jeannette Wellman, M.B.A.

Joseph Ngonzi, Ph.D., M.Med.

Lisa Bebell, M.D., Drucilla Roberts, M.D., M.S.

The Bill & Melinda Gates Foundation supported this research in its early stage.

Contact Us

Dr. Alison D. Gernand
224 Chandlee Lab
The Pennsylvania State University
University Park, PA 16802
United States