BACKGROUND: Parricide is an exceptionally rare phenomenon, constituting approximately 2% to 3% of all homicides in the United States. Double parricide, involving multiple victims and/or offenders, is even less common. The most famous case of double p... read more
Accurately predicting student dropout in Massive Open Online Courses (MOOCs) remains a critical challenge in educational data mining. While Spatio-Temporal Graph Neural Networks (STGNNs) have shown promise, established frameworks typically rely on fi... read more
Recent advancements in Artificial Intelligence (AI) have been driven by Large Language Models (LLMs), powerful tools capable of generating coherent text and solving diverse analytical tasks. While LLMs hold great potential to enhance healthcare by as... read more
Scoliosis is the most common developmental spinal deformity, but its genetic underpinnings remain only partially understood. To identify scoliosis-related loci, we utilized dual energy X-ray absorptiometry (DXA) scans from 57,588 individuals in the U... read more
Machine learning (ML) is gaining momentum in chemistry for the prediction of various molecular properties. However, these models are often trained on relatively scarce, sometimes low-quality data, resulting in what we describe as memorization (rather... read more
International journal of legal medicine
Mar 26, 2026
Artificial intelligence is expected to play an increasingly significant role in both medicine and law. The performance of generative artificial intelligence (GAI) models observed since 2022 may encourage consideration of their use in forensic experti... read more
Journal of computer-aided molecular design
Mar 26, 2026
Drug-induced liver injury (DILI) remains one of the leading causes of drug development failure and post-marketing withdrawal. Despite recent advances in computational modeling, many existing approaches rely heavily on structural features such as mole... read more
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