The objective of explainable artificial intelligence systems designed for clinical decision support (XAI-CDSS) is to enhance physicians' diagnostic performance, confidence and trust through the implementation of interpretable methods, thus providing ... read more
BACKGROUND/INTRODUCTION: T cell engagers (TCEs) are engineered immunotherapeutic molecules designed to direct the body's immune system against tumour or infected cells by bridging T cells and their targets, triggering potent cytotoxic responses. Over... read more
Journal of the American Chemical Society
Jul 23, 2025
High-entropy tactics present exceptional promise in advancing the dielectric energy storage of relaxor ferroelectrics, thereby benefiting various pulsed-power electronic systems. However, their vast composition space poses challenges in the rational ... read more
Federated Learning (FL) has become increasingly popular across different
sectors, offering a way for clients to work together to train a global model
without sharing sensitive data. It involves multiple rounds of communication
between the global mo... read more
Understanding Cytochrome P450 (CYP) enzyme-mediated metabolism is critical for accurate Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) predictions, which play a pivotal role in drug discovery. Traditional approaches, while foun... read more
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenicity. Current medical diagnostic methods involve an array of techniques, from blood tests to tumour biopsies. This process is associated with long-term ... read more
Plastic crystals, many of which are globular small molecules that exhibit transitions between rotationally ordered and rotationally disordered states, represent an important subclass of colossal barocaloric effect materials. The known set of plastic ... read more
Visual Question Answering (VQA) has been a widely studied topic, with
extensive research focusing on how VLMs respond to answerable questions based
on real-world images. However, there has been limited exploration of how these
models handle unanswe... read more
Accurate estimation of the postmortem interval (PMI) is crucial for medico-legal investigations, providing critical timelines for criminal cases. Current PMI methods, however, often lack precision, limiting their forensic utility. In this study, we d... read more
Real-time rendering imposes strict limitations on the sampling budget for
light transport simulation, often resulting in noisy images. However, denoisers
have demonstrated that it is possible to produce noise-free images through
filtering. We enhan... read more
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