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 ...

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 ...

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 ...

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

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.