Michigan State University researchers use AI and nanomedicine to identify blood-based biomarkers for prostate cancer and atherosclerosis.
Key Details
- 1Researchers from MSU, Augusta University, Karolinska Institute, and Stanford developed a new diagnostic platform.
- 2The method combines nanomedicine, AI, and causal analysis to identify rare plasma protein biomarkers.
- 3Initial targets were metastatic prostate cancer and atherosclerosis (clogged arteries).
- 4Published in the Chemical Engineering Journal on April 1, 2025.
- 5Funding from the American Heart Association, DoD Prostate Cancer Research, NIH, and NSF.
Why It Matters
Integrating radiology expertise with AI-driven biomarker discovery could transform early detection and precision medicine, providing radiologists with novel tools for non-invasive disease diagnosis. These advances support the radiology-AI community's efforts to enhance diagnostic accuracy and patient stratification.
Source
EurekAlert
Related News
•EurekAlert
NIH Invests Additional $12.6M in USC-Led Imaging AI for Alzheimer's
NIH has renewed and expanded its support for a USC-led consortium developing AI to decode and treat Alzheimer's using imaging and genomic data.
•EurekAlert
USC Unveils Joint Biomedical Engineering Department Bridging Medicine, Engineering, and Imaging
USC's medical and engineering schools launch a joint biomedical engineering department to accelerate interdisciplinary research and innovation, including imaging and AI.
•EurekAlert
AI Predicts Risks for Outpatient Stem Cell Therapy in Myeloma
Researchers use machine learning to predict adverse events during stem cell therapy for multiple myeloma, improving outpatient safety.