Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 3,891 to 3,900 of 203,626 articles
An integrated machine learning and mendelian randomization approach identifies SERPING1 as a prognostic biomarker associated with CD8 + T-cell infiltration in DLBCL.
Discover oncology
Jun 3, 2026
BACKGROUND: SERPING1, which encodes the C1 inhibitor (C1-INH) of the complement system, and plays a key regulator in regulating inflammatory responses and immune homeostasis. SERPING1 is downregulated in various disease, this downregulation occurs th... read more
Machine learning based prediction of recurrence in oral tongue cancer: a systematic review with quantitative synthesis.
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Jun 3, 2026
PURPOSE: Oral tongue squamous cell carcinoma (OTSCC) is characterized by aggressive local invasion and a high risk of cervical nodal metastasis and mortality. Earlier detection of recurrent OTSCC is associated with improved survival. This systematic ... read more
Interventions for improving resilience among healthcare workers: a systematic map.
Npj mental health research
Jun 3, 2026
Healthcare worker resilience is essential to building effective, functional, and crisis-ready health systems. This systematic map aimed to provide a comprehensive overview of the global evidence and identify gaps in resilience interventions for healt... read more
Rapid earthquake magnitude classification via P-wave strains from borehole strainmeters and Distributed Acoustic Sensing.
Nature communications
Jun 3, 2026
Distributed Acoustic Sensing (DAS) offers a promising approach for earthquake early warning (EEW) in settings where seismic networks are costly to maintain. By repurposing fiber optic cables as dense strainmeter arrays, DAS enables real-time earthqua... read more
Improving crystal material property prediction with multi-view geometric graph transformer.
Nature communications
Jun 3, 2026
Accurately and comprehensively representing crystal structures is critical for advancing machine learning in large-scale crystal materials simulations. However, effectively capturing and leveraging the intricate geometric and topological characterist... read more
O-SNAP uncovers nanoscale chromatin remodeling in dedifferentiation and stress responses.
Nature communications
Jun 3, 2026
The multi-scale organization of chromatin underlies gene regulation and cell identity, yet how nuclear architecture remodels during cell state transitions remains poorly understood. Here, we use single-molecule localization microscopy and a comprehen... read more
LG-Transformer: learned-graph transformer framework enabling diverse physicochemical properties prediction toward fuel design.
Nature communications
Jun 3, 2026
Green fuels are essential for decarbonizing transportation sectors, requiring accurate prediction of different physicochemical properties to optimize engine performance and emissions. Although artificial intelligence-based models demonstrate signific... read more
How to quickly determine whether patients with chronic cough need corticosteroid treatment--construction of a predictive model for corticosteroid-responsive cough in chronic cough.
NPJ primary care respiratory medicine
Jun 3, 2026
Patients with chronic cough need to undergo a wide range of tests and rely on empirical medication to determine the underlying cause. Corticosteroid-responsive cough (CRC) accounts for the majority of the causes of chronic cough, and the diagnostic p... read more
Genome-wide modelling of plant transcription factor binding captures regulatory variants associated with phenotypic traits.
Nature communications
Jun 3, 2026
The sequence-specific recognition of cis-regulatory elements (CRE) by transcription factors (TF) propagates genotype information to phenotypes. Understanding how genetic variation affects gene regulation remains limited by the diversity and complexit... read more
Integrating multisequence radiomics and clinical features to predict seizure recurrence after gross total resection of pediatric low-grade epilepsy-associated brain tumors.
Neuroradiology
Jun 3, 2026
OBJECTIVE: This study aimed to develop a predictive model integrating clinical features and multisequence MRI radiomics to forecast postoperative seizure outcomes in pediatric patients with low-grade epilepsy-associated tumors (LEATs) who underwent g... read more
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