AIMC Topic: Machine Learning

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Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription.

Scientific reports Jul 23, 2025
The increasing prevalence of type 2 diabetes (T2D) is a significant health concern worldwide. Effective and personalized treatment strategies are essential for improving patient outcomes and reducing healthcare costs. Machine learning (ML) has the po...
Hypoglycemic Agents Female Bayes Theorem Aged Drug Prescriptions Middle Aged Algorithms Male Diabetes Mellitus, Type 2 Decision Support Systems, Clinical Precision Medicine United States Electronic Health Records Humans Machine Learning
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Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning.

Scientific reports Jul 23, 2025
The reproducibility and robustness of many directed differentiation protocols from human induced pluripotent stem cells (hiPSCs) remain low, and the long differentiation induction period significantly limits protocol optimization. To address this, we...
Image Processing, Computer-Assisted Cell Differentiation Humans Induced Pluripotent Stem Cells Machine Learning
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Multilingual identification of nuanced dimensions of hope speech in social media texts.

Scientific reports Jul 23, 2025
Hope plays a crucial role in human psychology and well-being, yet its expression and detection across languages remain underexplored in natural language processing (NLP). This study presents MIND-HOPE, the first-ever multiclass hope speech detection ...
Social Media Natural Language Processing Hope Multilingualism Language Deep Learning Speech Humans Machine Learning
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Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning.

Nature communications Jul 23, 2025
Forensic pathology plays a vital role in determining the cause and manner of death through macroscopic and microscopic post-mortem examinations. However, the field faces challenges such as variability in outcomes, labor-intensive processes, and a sho...
Humans Autopsy Forensic Pathology Machine Learning Image Processing, Computer-Assisted
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Blockchain framework with IoT device using federated learning for sustainable healthcare systems.

Scientific reports Jul 23, 2025
The Internet of Medical Things (IoMT) sector has advanced rapidly in recent years, and security and privacy are essential considerations in the IoMT due to the extensive scope and implementation of IoMT networks. Machine learning (ML) and blockchain ...
Delivery of Health Care Confidentiality Machine Learning Federated Learning Computer Security Humans Internet of Things Blockchain
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Advances in machine learning for ABCA4-related retinopathy: segmentation and phenotyping.

International ophthalmology Jul 23, 2025
PURPOSE: Stargardt disease, also called ABCA4-related retinopathy (ABCA4R), is the most common form of juvenile-onset macular dystrophy and yet lacks an FDA approved treatment. Substantial progress has been made through landmark studies like that of ...
Electroretinography Machine Learning Phenotype Tomography, Optical Coherence Humans Visual Acuity ATP-Binding Cassette Transporters Retina Stargardt Disease Retinal Diseases
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Advanced spatiotemporal downscaling of MODIS land surface temperature: utilizing Sentinel-1 and Sentinel-2 data with machine learning technique in Qazvin Province, Iran.

Environmental monitoring and assessment Jul 23, 2025
This study presents a spatiotemporal downscaling framework for MODIS land surface temperature (LST) using Sentinel-1 and Sentinel-2 data with machine learning techniques on the Google Earth Engine (GEE) platform. Random Forest regression was applied ...
Temperature Environmental Monitoring Remote Sensing Technology Machine Learning Satellite Imagery Seasons Iran
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Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies.

eLife Jul 23, 2025
Trained immunity presents a unique target for modulating the immune response against infectious and non-infectious threats to human health. To address the unmet need for training-targeted therapies, we explore bioengineering methods to answer researc...
Humans Machine Learning Trained Immunity Animals Bioengineering
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Applications of enhanced sampling methods to biomolecular self-assembly: a review.

Journal of physics. Condensed matter : an Institute of Physics journal Jul 23, 2025
This review article discusses some common enhanced sampling methods in relation to the process of self-assembly of biomolecules. An introduction to self-assembly and its challenges is covered followed by a brief overview of the methods and analysis f...
Proteins Polymers Nucleic Acids Molecular Dynamics Simulation Machine Learning Peptides
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Leveraging stacked classifiers for exploring the role of hedonic processing between major depressive disorder and schizophrenia.

Psychological medicine Jul 23, 2025
BACKGROUND: Anhedonia, a transdiagnostic feature common to both Major Depressive Disorder (MDD) and Schizophrenia (SCZ), is characterized by abnormalities in hedonic experience. Previous studies have used machine learning (ML) algorithms without focu...
Young Adult Adult Male Machine Learning Female Reward Anhedonia Schizophrenic Psychology Depressive Disorder, Major Schizophrenia Middle Aged Humans
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