Dementia is a growing global health challenge, with the majority of individuals living with dementia receiving care from family members. However, many family caregivers lack sufficient knowledge, skills, and emotional support. Emerging artificial int... read more
BACKGROUND: Spatial neglect is a common visuospatial attention disorder following a stroke. To overcome weaknesses associated with classic pen-and-paper tests used in some clinical settings, we developed AREEN: an AR-guided EEG-based Neglect detectio... read more
T cell recognition of peptides presented by class I and II human leukocyte antigen (HLA) molecules is fundamental to cancer immunity and personalized immunotherapy. Neoantigens, peptides containing somatic mutations, are attractive therapeutic target... read more
BACKGROUND: In clinical stage IA lung adenocarcinoma (LUAD), rapid and accurate intraoperative diagnosis is crucial to decide whether to perform segmentectomy and lobectomy. Frozen section analysis is time consuming and not always reliable for LUAD d... read more
Protein science : a publication of the Protein Society
Apr 1, 2026
Computational protein design is often constrained by slow, complex, inaccessible, and highly sophisticated and expert-dependent workflows that hinder its transferrability and generalization power for broader applications. We present ProteinMCP, an ag... read more
The Extracellular Vesicles Gene-based Prostate Score (EGPS), powered by DeepSeek, is an artificial intelligence (AI) diagnostic tool that enhances the detection of clinically significant prostate cancer (csPCa) using urinary EV-derived gene expressio... read more
CPT: pharmacometrics & systems pharmacology
Apr 1, 2026
This review examines the application of machine learning (ML) in physiologically based pharmacokinetic (PBPK) modeling through improved prediction of input parameters, particularly via quantitative structure-activity relationship (QSAR) models, for a... read more
Giornale italiano di cardiologia (2006)
Apr 1, 2026
As in many other fields, artificial intelligence (AI) is transforming daily activities in cardiology. In pharmacological therapy, algorithms have been developed to prevent adverse reactions, improve therapeutic adherence, and optimize dosage. In the ... read more
Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias
Apr 1, 2026
OBJECTIVE: To stratify the risk of bacteremia at the time of emergency department (ED) admission in patients with hematologic malignancies. To this end, we compared the performance of unsupervised and supervised machine learning algorithms with the c... read more
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