Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.