AIMC Topic: Machine Learning
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A preliminary study on cause‑of‑death discrimination and the pathological stage identification in acute ischemia heart disease (AIHD) based on plasma lipidomic technique and machine learning algorithms.
International journal of legal medicine
Jun 6, 2025
The sudden death discrimination of acute ischemia heart disease (AIHD) and the determination of the AIHD pathological stage are the difficulties in forensic medicine. More potential biomarkers with high sensitivity and specificity still need to be id...
A machine-learning-based approach to predict early hallmarks of progressive hearing loss.
Hearing research
Jun 6, 2025
Machine learning (ML) techniques are increasingly being used to improve disease diagnosis and treatment. However, the application of these computational approaches to the early diagnosis of age-related hearing loss (ARHL), the most common sensory def...
Hearing
Auditory Threshold
Evoked Potentials, Auditory, Brain Stem
Presbycusis
Signal Processing, Computer-Assisted
Cadherins
Early Diagnosis
Male
Disease Progression
Mice
Age Factors
Disease Models, Animal
Mice, Inbred C57BL
Predictive Value of Tests
Machine Learning
Phenotype
Female
Animals
Humans
Advances in disease detection through retinal imaging: A systematic review.
Computers in biology and medicine
Jun 6, 2025
Ocular and non-ocular diseases significantly impact millions of people worldwide, leading to vision impairment or blindness if not detected and managed early. Many individuals could be prevented from becoming blind by treating these diseases early on...
Leveraging pulse wave signal properties for coronary artery calcification screening in CKD patients.
Computers in biology and medicine
Jun 6, 2025
BACKGROUND AND AIMS: Chronic kidney disease (CKD) patients are particularly susceptible to coronary atherosclerosis, which can be assessed using computed tomography (CT)-based coronary artery calcium (CAC) score. However, such a costly examination mi...
Evaluating the relationship between environmental chemicals and obesity: Evidence from a machine learning perspective.
Ecotoxicology and environmental safety
Jun 6, 2025
Environmental chemicals are increasingly recognized as important contributors to obesity, yet the number of studies evaluating this relationship remains insufficient. This study aimed to investigate these associations using interpretable machine lear...
Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data.
Heredity
Jun 6, 2025
The ever-increasing availability of high-throughput DNA sequences and the development of numerous computational methods have led to considerable advances in our understanding of the evolutionary and demographic history of populations. Several demogra...
Multimodal Wearable Sensing for Biomechanics and Biomolecules Enabled by the M-MPM/VCFs@Ag Interface with Machine Learning Pipeline.
ACS sensors
Jun 6, 2025
The addition sensing device of sweat to wearable biostress sensors would eliminate the need for using multiple gadgets for healthcare analysis. Due to the distinct package fashion of sensor interface for biostress and biomolecule, achieving permeabil...
Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries.
Chemical reviews
Jun 6, 2025
The nexus of quantum computing and machine learning─quantum machine learning─offers the potential for significant advancements in chemistry. This Review specifically explores the potential of quantum neural networks on gate-based quantum computers wi...
AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction.
Journal of chemical information and modeling
Jun 6, 2025
Viral infections have long been a core focus in the field of public health. Antiviral peptides (AVPs), due to their unique mechanisms of action and significant inhibitory effects against a wide range of viruses, exhibit tremendous potential in protec...
A skin-interfaced wireless wearable device and data analytics approach for sleep-stage and disorder detection.
Proceedings of the National Academy of Sciences of the United States of America
Jun 6, 2025
Accurate identification of sleep stages and disorders is crucial for maintaining health, preventing chronic conditions, and improving diagnosis and treatment. Direct respiratory measurements, as key biomarkers, are missing in traditional wrist- or fi...
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- Machine Learning 32557
- Neural Networks, Computer 30510
- Algorithms 27757
- Deep Learning 27309
- Artificial Intelligence 25232
- Robotics 13437
- Image Processing, Computer-Assisted 9895
- Retrospective Studies 9539
- Magnetic Resonance Imaging 6485
- Reproducibility of Results 5747
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4816
- Computational Biology 4399
- Brain 4188
- Computer Simulation 3965
Recent Journals
- Scientific reports 7016
- Sensors (Basel, Switzerland) 4794
- PloS one 4344
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- IEEE journal of biomedical and health informatics 1202
- Journal of chemical information and modeling 1092
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 884
- Bioinformatics (Oxford, England) 882
- IEEE transactions on neural networks and learning systems 860