A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.

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

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

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

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 novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

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

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

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

Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites ...