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.

Latest News

News/Student Achievements

(PICCLocationWeb, Project)

(ScienceBlog, Portal, Github)


  • 🎉 Congratulations to our Lab's BMI, CCHMC PhD student Smruti Deoghare on getting the Graduate Student Government (GSG) Research Fellowship 2021 - Advancement of Interdisciplinary Research Award!

  • Collaborative efforts from our lab towards smartphone + machine learning driven COVID-19 diagnostics with Aashish Priye (Chemical and Environmental Engineering, UC) featured in ZDnet news!

  • 🎉 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 the second place in the 3 Minute Thesis (3MT) Contest at the University of Cincinnati, 2020.

  • 🎉 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!

See also Student Success Page!

Grants

Active:

  • Our lab is part of an multi-disciplinary CCHMC ARC grant and initiative with Jonathan Dillman, Sam Brady, Lili He, Ryan Moore, Alex Towbin to create an "Image-based AI Core Structure" - Creation of an Enterprise-Wide Multidisciplinary Image-Focused Artificial Intelligence Infrastructure and Core for the development of an image-based AI core at the institute. (2021-2022)

  • Our lab is part of a Digestive Health Center (DHC) grant with Jasbir Dhaliwal on Bench-to-Bedside Research in Pediatric Digestive Disease for leveraging machine learning to delineate histologic features that are predictive of pediatric ulcerative colitis disease. (2021 - 2022)

  • Our lab is part of the Pediatric Precision Brain Health Center CCHMC ARC grant with Bruce Aronow, Alexis Mitalpunkt, Mary Anne McMahon for the development of longitudinal video/imaging informatics for the precision rehabilitation of traumatic brain injury (TBI)/cerebral palsy (CP) population. (2021-2022)

  • 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 (RDCRN) for the consistent data integration workflows, management, storage, analysis of various imaging data from 20+ different consortia spread across the USA. (2019 - 2024)

  • Our lab is part of a U24 grant LungMap Data Coordinating Center (DCC) from NIH/NHLBI for the imaging data collection, integration, and analysis of various consortia. (2019 - 2024)

Past:

We thank the research funding support from Cincinnati Children's Research Foundation (CCRF), CCHMC, CCTST, UC, NIH, NSF. None of the opinions expressed here represent the CCHMC, University of Cincinnati or the funding agencies. (c) Prasath Lab, CCHMC, USA, 2021.