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 ...

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 ...

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, ...

During COVID-19 pandemic, there have been some non-expected effects on the society besides the direct health effects of the COVID-19. The lockdowns all over the world have altered the education ...

Research presented today suggests an artificial intelligence tool called DeepGEM may provide an advancement in genomic testing that offers an accurate, cost-effective, and timely method for gene ...

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 ...

Antibiotic resistance is rising globally, demanding faster, more reliable routes to design antimicrobial candidates. Although artificial-intelligence-based methods have accelerated antimicrobial ...

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 ...