AIMC Topic: Machine Learning
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Regulatory Insights From 27 Years of Artificial Intelligence/Machine Learning-Enabled Medical Device Recalls in the United States: Implications for Future Governance.
JMIR medical informatics
Jul 11, 2025
BACKGROUND: Artificial intelligence/machine learning (AI/ML) has revolutionized the health care industry, particularly in the development and use of medical devices. The US Food and Drug Administration (FDA) has authorized over 878 AI/ML-enabled medi...
Advancing fungal phylogenetics: integrating modern sequencing, dark taxa discovery, and machine learning.
Archives of microbiology
Jul 11, 2025
The study of fungal genetics has undergone transformative advancements in recent decades, profoundly reshaping our understanding of fungal diversity, evolution, and pathogenesis. This review synthesizes cutting-edge molecular techniques revolutionizi...
A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes.
Head & face medicine
Jul 11, 2025
BACKGROUND: Orthopantomograms (OPGs) are essential diagnostic tools in dental and maxillofacial care, providing a panoramic view of the jaws, teeth, and surrounding bone structures. Detecting bone loss, which indicates periodontal disease and systemi...
Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics.
PloS one
Jul 11, 2025
Crude cone snail venom is a rich source of bioactive compounds with significant therapeutic potential. In this study, we conducted a comprehensive analysis of 5,985 cone snail peptides across 82 Conus species to identify unique cysteine (Cys) pattern...
Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease.
PloS one
Jul 11, 2025
This paper presents a novel privacy-preserving architecture, a fusion of Federated Learning with Personalized Models and Differential Privacy (FLPMDP), for diagnosing arrhythmia from 12-lead electrocardiogram (ECG) signals. The architecture supports ...
Evaluating visitor perception and spatial preferences of various museums based on machine learning from 2016 to 2024.
PloS one
Jul 11, 2025
Museum architecture is essential for preserving cultural heritage. Understanding the spatio-temporal evolution of visitor preferences, image perceptions, and driving factors is vital for promoting cultural development. However, traditional methods su...
Diagnostic immune-related markers for diabetic kidney disease: a bioinformatics and machine learning approach.
Renal failure
Jul 10, 2025
OBJECTIVE: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease, with chronic inflammation driving its progression. This study aimed to identify immune-related diagnostic biomarkers for DKD and explore their association with imm...
The potential of machine learning to personalized medicine in Neurogenetics: Current trends and future directions.
Computers in biology and medicine
Jul 10, 2025
Neurogenetic disorders (NeD) are a group of neurological conditions resulting from inherited genetic defects. By affecting the normal functioning of the nervous system, these diseases lead to serious problems in movement, cognition, and other body fu...
Integrating machine learning with in silico studies and Quantum Chemistry: Exploring novel compounds through multiscale screening targeting the CDK2 enzyme.
Computers in biology and medicine
Jul 10, 2025
Cyclin-dependent kinase 2 (CDK2) modulates the progression of the cell cycle, and its dysregulation results in unchecked cellular proliferation, establishing it as a pivotal target in oncological therapies. We implemented a comprehensive screening pi...
StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides.
Journal of chemical information and modeling
Jul 10, 2025
Proinflammatory peptides (PIPs) play a crucial role in immune response modulation by orchestrating cytokine release and leukocyte recruitment. Accurate identification of PIPs is essential for understanding inflammation-related diseases and developing...
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