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 ...

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

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

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

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

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...

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