Public health is undergoing profound transformation driven by data from the global health sector and related fields. To address systemic health disparities, scholars and practitioners are increasingly ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Challenges, including the risk of cognitive overload from dense data representations (e.g., ESM mood-in-context visualisations), were raised. Conclusions: These findings underline the importance of ...

Abstract: The growing intricacy of medical data presents a significant challenge for electronic health record (EHR) systems, which are required to integrate multimodal data in order to enhance ...

Abstract: Volumetric medical imaging technologies produce detailed 3D representations of anatomical structures. However, effective medical data visualization and exploration pose significant ...