Pixels to Predictions: Designing Computational Imaging AI to Enable Precision Medicine
Join Dr. Satish E. Viswanath of Case Western Reserve University to learn how artificial intelligence (AI) can help clinicians with precision medicine approaches. He will present on RadxTools, an image informatics toolkit specifically geared towards developing modules that enable:
- the creation of spatially aligned, deeply annotated, radiology-pathology data sets.
- quantitative characterization of specialized, tumor response-specific features on post-treatment imaging.
- quality control of radiomic features.
NCI’s Informatics Technology for Cancer Research (ITCR) Program funds RadxTools.
Dr. Viswanath is an associate professor in the Department of Biomedical Engineering at Case School of Engineering and Case School of Medicine. He primarily focuses his research on developing new AI approaches for computer-aided diagnosis and detection, disease characterization, and quantitative evaluation of response to treatment in gastrointestinal cancers and digestive diseases.
Upcoming Events
- AI-Driven Spatial Transcriptomics Unlocks Large-Scale Breast Cancer Biomarker Discovery from HistopathologyMay 07, 2025Co-clinical Imaging Research Resource Program (CIRP) Annual Virtual Meeting 2025—Celebrating A Ten-Year MilestoneMay 07, 2025 - May 08, 2025Workshop Series: Synthetic and Systems Approaches to Interrogate Spatiotemporal Processes in CancerMay 13, 2025 - May 20, 2025Agentic AI in Cancer ResearchMay 27, 2025BTEC 2025 Annual Conference: The Epidemiology of Brain Metastases for Adult and Pediatric Brain TumorsMay 29, 2025Ctrl+Alt+Cure: Driving Smarter Cancer CareJune 11, 2025