AIMC Topic: Machine Learning

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Differences in resting-state functional connectivity between depressed bipolar and major depressive disorder patients: A machine learning study.

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology Jun 17, 2025
Nearly 60 % of individuals with bipolar disorder (BD) are initially classified as major depressive disorder (MDD) patients, resulting in inappropriate drug treatment. Identifying reliable biomarkers for the differential diagnosis between MDD and BD p...
Magnetic Resonance Imaging Rest Connectome Neural Pathways Nerve Net Male Middle Aged Depressive Disorder, Major Bipolar Disorder Female Young Adult Adult Humans Machine Learning Brain
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Impact of Field-of-view Zooming and Segmentation Batches on Radiomics Features Reproducibility and Machine Learning Performance in Thyroid Scintigraphy.

Clinical nuclear medicine Jun 17, 2025
BACKGROUND: Thyroid diseases are the second most common hormonal disorders, necessitating accurate diagnostics. Advances in artificial intelligence and radiomics have enhanced diagnostic precision by analyzing quantitative imaging features. However, ...
Aged Adult Radiomics Male Retrospective Studies Female Reproducibility of Results Radionuclide Imaging Middle Aged Thyroid Gland Image Processing, Computer-Assisted Humans Machine Learning
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Improved Prediction of Drug-Protein Interactions through Physics-Based Few-Shot Learning.

Journal of chemical information and modeling Jun 17, 2025
Accurate prediction of drug-protein interactions is crucial for drug discovery. Due to the bottleneck of traditional scoring functions, many machine learning scoring functions (MLSFs) have been proposed for structure-based drug screening. However, ex...
Proteins Pharmaceutical Preparations Humans COVID-19 Machine Learning SARS-CoV-2 Drug Discovery Protein Binding
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General Chemically Intuitive Atom- and Bond-Level DFT Descriptors for Machine Learning Approaches to Reaction Condition Prediction.

Journal of chemical information and modeling Jun 17, 2025
We demonstrate the usefulness of general atom- and bond-level density functional theory (DFT) descriptors to enhance the performance of neural networks for general reaction condition prediction. We treat condition prediction as a multiclass classific...
Neural Networks, Computer Machine Learning Density Functional Theory
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Predicting 14-day readmission in middle-aged and elderly patients with pneumonia using emergency department data: a multicentre retrospective cohort study with a survival machine learning approach.

BMJ open Jun 17, 2025
OBJECTIVES: Unplanned pneumonia readmissions increase patient morbidity, mortality and healthcare costs. Among pneumonia patients, the middle-aged and elderly (≥45 years old) have a significantly higher risk of readmission compared with the young. Gi...
Male Taiwan Female Middle Aged Humans Pneumonia Risk Assessment Risk Factors Machine Learning Emergency Service, Hospital Aged Retrospective Studies Patient Readmission Aged, 80 and over
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Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features.

Journal of cancer research and clinical oncology Jun 17, 2025
BACKGROUND: With the improvement of imaging, the screening rate of Pulmonary nodules (PNs) has further increased, but their identification of High-Risk Prognostic Pathological Components (HRPPC) is still a major challenge. In this study, we aimed to ...
Aged Adult Biomarkers, Tumor Male Middle Aged Lung Neoplasms Multiple Pulmonary Nodules Prognosis Retrospective Studies Tomography, X-Ray Computed Female Humans Solitary Pulmonary Nodule Machine Learning
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Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.

PloS one Jun 17, 2025
BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.
Heart Disease Risk Factors Female Risk Factors Aged Adult Humans Risk Assessment Male Machine Learning Support Vector Machine Cardiovascular Diseases Algorithms Malaysia Middle Aged Bayes Theorem
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Dual intelligent multiplexing sensor for accurate disease management with portable NMR.

Biosensors & bioelectronics Jun 16, 2025
Emerging infectious diseases demand comprehensive containment strategies, encompassing early detection and patient monitoring. Conventional diagnostic tests often suffer from low sensitivity, reliance on specialized equipment, and binary (positive/ne...
Humans Machine Learning COVID-19 SARS-CoV-2 Magnetite Nanoparticles Equipment Design Magnetic Resonance Spectroscopy Antigens, Viral Biosensing Techniques Antibodies, Viral Manganese Compounds Oxides
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Linear and nonlinear features of EEG microstate associated with insomnia.

Sleep medicine Jun 16, 2025
BACKGROUND: Numerous studies have revealed abnormalities in EEG microstate in insomnia, primarily quantified using linear features, whereas nonlinear metrics remain underexplored. This study aimed to compare linear and nonlinear features and further ...
Humans Machine Learning Female Entropy Young Adult Adult Support Vector Machine Male Electroencephalography Nonlinear Dynamics Sleep Initiation and Maintenance Disorders
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Machine learning strategies for multi-label pre-diagnosis of diseases with superficial data.

Computer methods and programs in biomedicine Jun 16, 2025
BACKGROUND AND OBJECTIVE: General practice (GP) pre-diagnosis, a key task in disease triage, directs patients to suitable departments despite limited data and multi-label classification challenges. To address this issue, a framework with dimensionali...
Diagnosis, Computer-Assisted Support Vector Machine General Practice Humans Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Electronic Health Records
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