A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Improving survival rates is dependent on early and accurate detection of breast cancer, which remains a major public health ...

Imaging studies of more than 27,000 adults link a healthier thymus on CT scans with a longer life and lower risks of ...

Helio Genomics, an AI-powered TechBio company focused on early cancer detection, today announced an agreement with Quest Diagnostics, a leading provider of diagnostic information services, to ...

The AI lung digital twin platform is built upon NVIDIA’s physical AI infrastructure.

Pancreatic cancer is one of the hardest cancers to treat, which makes early detection so crucial, now AI is lending a hand to speed up the process.

As routine labs, imaging, and information from wearables and the environment stream in, a digital twin can model trajectories ...

Domain adaptation may be a novel creative solution to predict infection risk in patients with chronic lymphocytic leukemia ...

In a groundbreaking study published in BME Frontiers, researchers from the University of California, Los Angeles (UCLA), in ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...