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

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

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

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

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 ...

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

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

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

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

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

Spinal metastasis, the spread of cancer to the spine, is a frequent complication in advanced cancer. It often causes severe ...