AIMC Topic: Machine Learning

Clear Filters Showing 651 to 660 of 32555 articles

Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients.

Scientific reports Jul 15, 2025
Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complication, exerting substantial impacts on both short-term and long-term patient prognoses. The primary objective of our investigation was to develop a machin...
Machine Learning Algorithms Female Risk Factors Aged Colorectal Neoplasms Humans ROC Curve Male Heart Failure Middle Aged Colectomy Postoperative Complications
View on PubMed DOI

CalTrig: A GUI-Based Machine Learning Approach for Decoding Neuronal Calcium Transients in Freely Moving Rodents.

eNeuro Jul 15, 2025
Advances in in vivo Ca imaging using miniature microscopes have enabled researchers to study single-neuron activity in freely moving animals. Tools such as Minian and CalmAn have been developed to convert Ca visual signals to numerical data, collecti...
User-Computer Interface Neurons Mice Calcium Mice, Inbred C57BL Calcium Signaling Machine Learning Animals Male
View on PubMed DOI

Applying binary mixed model to predict knee osteoarthritis pain.

PloS one Jul 15, 2025
Data used to understand knee osteoarthritis (KOA) often involves knee-level, rather than person-level information. Failure to account for the correlation between joints within a person may lead to inaccurate inferences. The aim of this study was to d...
Middle Aged Pain Measurement Knee Joint Female Aged Male Pain Osteoarthritis, Knee Humans Machine Learning Algorithms
View on PubMed DOI

Driven early detection of chronic kidney cancer disease based on machine learning technique.

PloS one Jul 15, 2025
In recent times, chronic kidney cancer has been considered a significant cause of cancer, and Renal Cell Carcinoma (RCC) has become a significant prevalent among various kidney cancer conditions. The analysis of kidney cancer, an important and often ...
Machine Learning Algorithms Deep Learning Humans Kidney Neoplasms Image Processing, Computer-Assisted Carcinoma, Renal Cell Renal Insufficiency, Chronic Early Detection of Cancer
View on PubMed DOI

Identification of necroptotic biomarkers associated with immune microenvironment in sepsis based on the protein-protein interaction network and machine learning.

Clinica chimica acta; international journal of clinical chemistry Jul 14, 2025
BACKGROUND: Necroptosis is inflammatorily sparked and closely associated with sepsis, but the crosstalk between necroptosis and inflammation in sepsis has rarely been studied in depth. This study is designed to reveal the role of necroptosis in the p...
Machine Learning Biomarkers Animals Sepsis Necroptosis Protein Interaction Maps Mice Humans
View on PubMed DOI

ML-based prediction to experimental validation: Development of dihydroquinazoline based multi-potent ligands as anti-Alzheimer's agents.

Computers in biology and medicine Jul 14, 2025
Alzheimer's disease (AD) is a multifactorial neurological disorder accounting for the cognitive decline in the patients. The disease is linked to numerous pathological factors including hyperactivation of acetylcholinesterase (AChE) and monoamine oxi...
Molecular Docking Simulation Amyloid beta-Peptides Alzheimer Disease Humans Monoamine Oxidase Machine Learning Quinazolines Monoamine Oxidase Inhibitors Ligands Acetylcholinesterase Cholinesterase Inhibitors
View on PubMed DOI

Synergizing Nanosensor-Enhanced Wearable Devices with Machine Learning for Precision Health Management Benefiting Older Adult Populations.

ACS nano Jul 14, 2025
Population aging presents significant health challenges and socioeconomic burdens globally, driving an increased demand for precision health management. In the era of big data, the exponential growth of health information is accelerating advances in ...
Biosensing Techniques Monitoring, Physiologic Nanotechnology Humans Machine Learning Precision Medicine Aged Wearable Electronic Devices
View on PubMed DOI

Predicting the Site-Specific Toxicity of Metals to Fishes Using a New Machine Learning-Based Approach.

Environmental science & technology Jul 14, 2025
Fishes of various trophic levels play an important role in the stability and balance of aquatic ecosystems. Metal contaminants can impair the survival and population fitness of fish at elevated concentrations. When universal water quality criteria (W...
Machine Learning Water Quality Animals Metals, Heavy Metals Models, Biological Ecosystem Environmental Monitoring Fishes Lakes Water Pollutants, Chemical Endangered Species China
View on PubMed DOI

Machine Learning-Assisted Iterative Screening for Efficient Detection of Drug Discovery Starting Points.

Journal of medicinal chemistry Jul 14, 2025
High-throughput screening (HTS) remains central to small molecule lead discovery, but increasing assay complexity challenges the screening of large compound libraries. While retrospective studies have assessed active-learning-guided screening, extens...
Humans Small Molecule Libraries Machine Learning Drug Discovery Mass Spectrometry High-Throughput Screening Assays Protein Kinase Inhibitors
View on PubMed DOI

Protein Structure-Function Relationship: A Kernel-PCA Approach for Reaction Coordinate Identification.

Journal of chemical theory and computation Jul 14, 2025
In this study, we propose a Kernel-PCA model designed to capture structure-function relationships in a protein. This model also enables the ranking of reaction coordinates according to their impact on protein properties. By leveraging machine learnin...
Protein Conformation Structure-Activity Relationship Principal Component Analysis Molecular Dynamics Simulation Machine Learning Proteins Receptors, G-Protein-Coupled
View on PubMed DOI
Popular Topics
Recent Journals