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

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

This new AI model, Learn Your Way, shows what is possible when Google’s cutting-edge AI research is combined with effective learning science. It was developed in partnership with pedagogy specialists ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

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 ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...