A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

The peer-reviewed invited review in Brain Medicine titled "New approaches to enhance the diagnosis of psychiatric disorders," is freely available via Open Access, starting on 10 March 2026 in Brain ...

The arterial vasculature is the second most frequently calcified structure in the human body after the skeleton. Calcification of the aorta and aortic valves occurs in most individuals in westernized ...

Abstract: Brain imaging plays a crucial role in diagnosing neurological disorders. However, generating precise and detailed descriptions of brain images remains a significant challenge due to the ...

By Rhett Ayers Butler Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most. Forest restoration, protected areas, wildlife corridors, ...

Abstract: The performance of Machine Learning (ML) models is highly sensitive to data quality, still the impact of label accuracy remains underexplored. In this study, a novel architecture, the Dual ...