Stony Brook University has been at the forefront of developing innovative self supervised learning and diffusion methods to create Pathology foundation models for classification, segmentation and prediction tasks. In addition to our AI analysis pipelines and models, virtually all of which are publicly distributed, the group has created and distributed a variety of impactful tools. 

Alisa Yurovsky (Department of Biomedical Informatics, College of Engineering and Applied Sciences)

Researchers from Stony Brook University’s Departments of Biomedical Informatics (BMI), Computer Science (CS), and Chemistry recently appeared in Nature Communications< for their work in molecular property prediction.

Jianyuan Deng has successfully defended her Ph.D. dissertation in the Department of Biomedical Informatics. Jianyuan joined the Department of Biomedical Informatics in Fall 2018. Under the guidance of Dr. Fusheng Wang, Jianyuan's research, focused on "An Integrated Artificial Intelligence Pipeline for Drug Discovery," explores AI techniques in molecular property prediction and molecule generation.

Prof. Chao Chen's PhD student, Xiaoling Hu wins the prestigious Catacosinos fellow, in recognition of his contribution in the field of computer science. The Catacosinos family, founders of the fellowship, generously provided computer science students with this opportunity through an endowment, i.e. Catacosinos Fellowship Fund, which started in 1978. Each of this year’s Fellows received $5,000 to support their educational and research related pursuits.

                                - Kimberly Noel M.D. M.P.H, Joseph Balsamo, Eileen Keck B.A.Sc., Bill Redman, Mary Saltz M.D Stony Brook Medicine, Stony Brook, New York

Abstract

          This work will detail the real-life challenges of rapid technological innovations in times of COVID-19 and highlight successful team approaches for timely applications of invaluable clinical informatics tools in triage and information dissemination.