People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

A novel machine learning model enhances colorectal cancer (CRC) prognosis and immunotherapy response prediction by ...

The study emphasizes that one of the most significant contributions of AI to plant science lies in rapid, image-based disease ...

All patients in the treatment arm remain disease-free after a minimum of 2-year follow-up in the randomized Phase I trial in resected HPV-n ...

Radiomics, the extraction of quantitative features from medical images, combined with AI, showed high accuracy in predicting ...

The prediction of long-term outcomes in ischemic stroke patients may be useful in treatment decisions. Machine learning techniques are being increasingly adapted for use in the ... classification ...

EMA Orphan Drug Designation (ODD) builds on U.S. Food & Drug Administration (FDA) ODD and Fast Track Designation, underscoring the urgen ...

As healthcare needs continue to grow rapidly across populations, Nawazpasha Shaik, a technology thought leader in healthcare ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Complex traits are influenced by genes and the environment, but especially the latter is difficult to pin down. This important study uses C. elegans to demonstrate that non-genetic differences in gene ...