Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

Related: Federal Health Agencies Rapidly Scale AI Adoption, But Governance Lags Behind. Medical imaging is a cornerstone of ...
Frontiers

AI-Driven Genomic and Diagnostic Modeling in Breast Cancer

Breast cancer is a biologically heterogeneous disease in which genomic complexity, dynamic tumor evolution, and variable therapeutic response continue to ...
Frontiers

Generative AI and Multimodal Learning for Early Gastric Cancer Detection Using Small, Imbalanced, and Heterogeneous Clinical Data

Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...

Machine learning model improves accuracy of liquid biopsy results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
News-Medical.Net

Machine learning model filters out the biological noise in liquid biopsy samples

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...

FireANTs unlocks faster medical image matching, cutting analysis from a week to minutes

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...
EurekAlert!

FireANTs brings AI speed and geometric precision to medical imaging

FireANTS combines AI and geometry to match features in dense images faster and more accurately, with potential applications in fields like radiology. Penn Engineers have developed an open-source ...