Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography ...

Using a new artificial intelligence method, researchers at Columbia University Vagelos College of Physicians and Surgeons can accurately predict the activity of genes within any human cell, ...

Amyotrophic lateral sclerosis (ALS)—a severe disease of the motor nervous system—is hereditary, but a large part of this heritability has previously been unexplained. Using artificial intelligence (AI ...

A knowledge-based intelligence method for controlling segment floating based on adjusting and optimizing shield tail grouting parameters was proposed. Based on prior knowledge in controlling segment ...

The use of artificial intelligence (AI), including machine learning and large language models, is revolutionizing health care, from drug discovery and development, through to applications in the risk ...

Researchers and data scientists at UT Southwestern Medical Center and MD Anderson Cancer Center have developed an artificial intelligence technique that can identify which cell surface peptides ...

Using a new artificial intelligence method, researchers at Columbia University Vagelos College of Physicians and Surgeons can accurately predict the activity of genes within any human cell, ...

Concurrent GLP1R-agonist use with chemoimmunotherapy for early-stage triple-negative breast cancer. Comparison of methods with RNAscope using Pearson correlation and R².

Researchers and data scientists have developed an artificial intelligence technique that can identify which cell surface peptides produced by cancer cells called neoantigens are recognized by the ...