AIMC Topic: Machine Learning
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A computational framework for inferring species dynamics and interactions with applications in microbiota ecology.
NPJ systems biology and applications
Aug 5, 2025
We present MBPert, a generic computational framework for inferring species interactions and predicting dynamics in time-evolving ecosystems from perturbation and time-series data. In this work, we contextualize the framework in microbial ecosystem mo...
Predicting patient deterioration with physiological data using AI: systematic review protocol.
BMJ health & care informatics
Aug 5, 2025
INTRODUCTION: The second iteration of the National Early Warning Score has been adopted widely within the UK and internationally. It uses routinely collected physiological measurements to standardise the assessment and response to acute illness. Its ...
Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint.
Journal of medical Internet research
Aug 5, 2025
Digital twin (DT) technology is revolutionizing clinical practice by integrating diverse epidemiological data sources to create dynamic, patient-specific simulations. By leveraging data from genomics, proteomics, imaging, sociodemographics, and real-...
Innovative machine learning approach for liver fibrosis and disease severity evaluation in MAFLD patients using MRI fat content analysis.
Clinical and experimental medicine
Aug 5, 2025
This study employed machine learning models to quantitatively analyze liver fat content from MRI images for the evaluation of liver fibrosis and disease severity in patients with metabolic dysfunction-associated fatty liver disease (MAFLD). A total o...
Automated classification of skeletal malocclusion in German orthodontic patients.
Clinical oral investigations
Aug 5, 2025
OBJECTIVES: Precisely diagnosing skeletal class is mandatory for correct orthodontic treatment. Artificial intelligence (AI) could increase efficiency during diagnostics and contribute to automated workflows. So far, no AI-driven process can differen...
Machine learning enables legal risk assessment in internet healthcare using HIPAA data.
Scientific reports
Aug 5, 2025
This study explores how artificial intelligence technologies can enhance the regulatory capacity for legal risks in internet healthcare based on a machine learning (ML) analytical framework and utilizes data from the health insurance portability and ...
A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases.
Biomedical physics & engineering express
Aug 5, 2025
Pulmonary diseases have become one of the main reasons for people's health decline, impacting millions of people worldwide. Rapid advancement of deep learning has significantly impacted medical image analysis by improving diagnostic accuracy and effi...
Strategic forecasting of renewable energy production for sustainable electricity supply: A machine learning approach considering environmental, economic, and oil factors in Türkiye.
PloS one
Aug 5, 2025
Providing electricity needs from renewable energy sources is an important issue in the energy policies of countries. Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. The electricity usage...
Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study.
PloS one
Aug 5, 2025
BACKGROUND: Angina pectoris, a comparatively common complaint among older adults, is a critical warning sign of underlying coronary heart disease. We aimed to develop machine learning-based models using multiple algorithms to predict and identify the...
Personalized colorectal cancer risk assessment through explainable AI and Gut microbiome profiling.
Gut microbes
Aug 4, 2025
The clinical adenoma - carcinoma progression represents a well-established framework for understanding colorectal cancer (CRC) development, although the molecular mechanisms underlying this transition remain only partially understood. Increasing evid...
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