Business Wire

ImmunoScape Uses Machine Learning to Accurately Predict Antigen Specificity Based on T-Cell Phenotypes in New Peer-Reviewed Research

SAN DIEGO & SINGAPORE--(BUSINESS WIRE)--ImmunoScape, a biotechnology company focused on next-generation immunotherapies, published new peer-reviewed research that demonstrates the use of machine ...
ascopubs.org

Low Levels of Circulating Invariant Natural Killer T Cells Predict Poor Clinical Outcome in Patients With Head and Neck Squamous Cell Carcinoma

Evading antitumor immune responses is an important aspect of the pathogenesis of head and neck squamous cell carcinoma (HNSCC). Invariant CD1d-restricted natural killer T (iNKT) cells play an ...
News Medical

Using machine learning to map brain aging at the cellular level

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...
EurekAlert!

Stanford researcher develops machine learning models to decode brain aging at cellular level

STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...
The University of Chicago Chronicle

For the first time, researchers visualize metabolic process at the single-cell level

Understanding cellular metabolism – how a cell uses energy – could be key to treating a wide array of diseases, including vascular diseases and cancer. While many techniques can measure these ...
News Medical

New technique can measure metabolic process at the single-cell level

Understanding cellular metabolism - how a cell uses energy- could be key to treating a wide array of diseases, including vascular diseases and cancer. While many techniques can measure these processes ...