A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

DRI taps AI and forecasting tools to sharpen restaurant efficiency, boosting labor planning, reducing waste and improving service without replacing workers.

Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

Frontier AI models blew up betting on real-world football markets. They knew the right strategy—but failed to execute it. A ...

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...