AI-driven discovery, EHR-based real-world evidence, and synthetic patient modeling are rapidly reshaping drug repurposing, reducing development timelines, expanding therapeutic applications, and ...

Conclusions: Two-stage HRSN screening based on geography is suboptimal. Although a 2-stage approach based on area-level socioeconomic measures can reduce the number of patients requiring ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

Vanderbilt Verily Partner Healthcare secured a $9.2M NIH award to enhance the FAIRplex platform for AI-driven biomedical data analysis.

Over the past few decades, artificial intelligence has steadily become a major driver of innovation in the field of medical ...

Bioprocess modeling is undergoing a transformative phase with the advent of digital technologies like artificial intelligence (AI) and machine learning ...