The Prasath Lab uses Data Science Tools for Biomedical Informatics
We combine mathematics, computer science, and statistics to solve challenging biomedical informatics problems with special emphasize in pediatric domain.
We use image processing, computer vision, machine learning in large scale biomedical imaging and non-imaging data.
We do science that is collaborative and crosses disciplines. We follow a culture that is integrative and inclusive.
Collaborative work with Nathan Salomonis Lab appeared in Briefings in Bioinformatics, 2021: DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity. Kudos to Guangyuan (Frank) Li from Salomonis lab, and Balaji Iyer from our lab!
Collaborative work with Daniel Lucas, Nathan Salomonis, and Lee Grimes labs appeared in Nature, 2021: In situ mapping identifies distinct vascular niches for myelopoiesis. Kudos to Jizhou, Qingqing from Lucas lab! Check out the eye-candy imaging data 😍
🎉 Congratulations to our Lab's EECS, UC PhD student Balaji Iyer on getting the Graduate Student Government (GSG) Research Fellowship 2020 - Advancement of Interdisciplinary Research Award!
🎉 Congratulations to our Lab's BMI, CCHMC PhD student Smruti Deoghare on getting nominated from the University of Cincinnati for The Midwestern Association of Graduate Schools (MAGS) Excellence in Teaching Award, 2020. See her "Teaching in Action" Youtube video!
🎉 Congratulations to our Lab's (first) MS students Mr. Srinivasa Siddhartha Selagamsetty (MS, EECS, UC, joined a start-up), and Mr. Harshith Bondada (MS, EECS, UC, joined Proctor & Gamble company) on their new jobs!
🎉 Congratulations to our Lab's international exchange MS students Ms. Asami Yonekura (EE, Mie, Japan), Mr. Kiichi Fukuma (EE, Mie, Japan) on their new jobs!
Our lab is part of an initiative to create an "Image-based AI Core Structure" - Creation of an Enterprise-Wide Multidisciplinary Image-Focused Artificial Intelligence Infrastructure and Core (2021-2022)
Received a Center for Pediatric Genomics (CpG) grant from the Cincinnati Children’s Research Foundation (CCRF) with Emily Miraldi for methods to improve insight from (sc)ATAC-seq for regulatory networks and genetics. (2020 - 2021)
Our lab is part of the Pediatric Precision Brain Health Center with Bruce Aronow, Mary Anne McMahon for the development of longitudinal video/imaging informatics for the precision rehabilitation of traumatic brain injury (TBI)/cerebral palsy (CP) population.
Our lab is part of the Pediatric Cell Atlas with Nathan Salomonis, Bruce Aronow for the development of imaging informatics for the atlas. The pediatric atlas is part of a broader international consortium, the Human Cell Atlas (HCA). (2019-2020)
Our lab is part of a NIH/NIAID U01 grant with Emily Miraldi on dynamic regulatory network modeling with deep learning. (2020 - 2025)
Our lab is part of a U2CTR grant Data Management Coordinating Center (DMCC) NIH/NCATS Rare Diseases Clinical Research Network for the consistent data integration workflows, management, storage, analysis of various imaging data from 20+ different consortia spread across the USA. (2019 - 2024)
Received a Center for Pediatric Genomics (CpG) grant from the Cincinnati Children’s Research Foundation (CCRF) with Krishna Roskin for the development of a database and machine learning tools to accelerate immunoglobulin and TCR bioinformatics. (2019 - 2020)
Our lab was part of the project Drone-based DNA Analysis with Aashish Priye (PI, Chemical and Environmental Engineering, UC), Soryong Chae (Co-PI, Environmental Engineering Science) in the Digital Futures Platforms Development - Anchor Initiative (DF 19-1) at UC. (2019 - 2020)
Our lab is part of a Ohio Third Frontier Grant with Ryan Moore to develop automated anatomical segmentation using AI tools for cardiology. (2019 - 2020)
We thank the research funding support from Cincinnati Children's Research Foundation (CCRF), CCHMC, CCTST, UC, NIH, NSF.