AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

Functional Data Analysis (FDA) is an increasingly central statistical framework that extends conventional data analysis to observations recorded as functions, curves or shapes. This approach ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Molecular Correlates of Long-Term Response to Bevacizumab in Glioblastoma Recurrent nonkinase domain FGFR VUS variants were collected from the Catalog of Somatic Mutations in Cancer and their ...

Artificial intelligence (AI) systems are computational models that can learn to identify patterns in data, make accurate predictions or generate content (e.g., texts, images, videos or sound ...

Chronic pain has a personalized "brain fingerprint," allowing AI to decode spontaneous pain levels through fMRI scans.

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...

Researchers at the University of Michigan have developed a new method that brings quantum-level accuracy to molecular modeling, offering fresh insights into a widely used simulation approach in ...