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

Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Overview: AI is transforming medical diagnosis by allowing earlier and more accurate disease detection.Machine learning ...

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...

Real-world evidence (RWE) empowers payers and providers to make more informed, cost-effective treatment. Read more here: ...

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver condition globally, with its management spanning ...

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 ...

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

Abstract: Diabetes is one of the chronic diseases that causes blood sugar levels to rise. If diabetes is left untreated and undiagnosed, it can lead to complications. The time-consuming identification ...