AIMC Topic: Machine Learning

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Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review.

BMC pregnancy and childbirth Jul 2, 2025
OBJECTIVE: To assess the methodological quality and the risk of bias, of studies that developed prediction models using Machine Learning (ML) techniques to estimate prenatal birthweight.
Reproducibility of Results Pregnancy Bias Birth Weight Female Fetal Weight Infant, Newborn Humans Machine Learning Research Design
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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

BMC pregnancy and childbirth Jul 2, 2025
BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. Despite machine learning algorithms offering a more robus...
Hospitals, District Cesarean Section Young Adult Adult Machine Learning Humans Retrospective Studies Logistic Models Cross-Sectional Studies Algorithms Pregnancy Bayes Theorem Support Vector Machine ROC Curve Female Ghana Decision Support Systems, Clinical
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Interpretable machine learning for depression recognition with spatiotemporal gait features among older adults: a cross-sectional study in Xiamen, China.

BMC geriatrics Jul 2, 2025
OBJECTIVE: Depression in older adults is a growing public health concern, yet there is still a lack of convenient and real-time methods for depressive symptoms identification. This study aims to develop a gait-based depression recognition method for ...
Cross-Sectional Studies Male Middle Aged Gait China Depression Female Aged Aged, 80 and over Humans Machine Learning
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Identification of MEG3 and MAPK3 as potential therapeutic targets for osteoarthritis through multiomics integration and machine learning.

Scientific reports Jul 2, 2025
Knee osteoarthritis (KOA) is a prevalent degenerative joint disorder, yet its underlying molecular mechanisms remain puzzling. This study aimed to uncover the genes with a causal relationship to KOA using Mendelian randomization (MR), transcriptomic ...
Mendelian Randomization Analysis ROC Curve Mitogen-Activated Protein Kinase 3 Machine Learning Osteoarthritis, Knee Multiomics Quantitative Trait Loci Gene Expression Profiling RNA, Long Noncoding Genome-Wide Association Study Humans
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Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence.

Scientific reports Jul 2, 2025
Oscillations are a common phenomenon in cell biology. They are based on non-linear coupling of biochemical reactions and can show rich dynamic behavior as found in, for example, glycolysis of yeast cells. Here, we show that dynamic mode decomposition...
Machine Learning Optical Imaging Algorithms NAD Humans Glycolysis Time-Lapse Imaging Glucose Saccharomyces cerevisiae
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False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports Jul 2, 2025
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai...
Federated Learning Humans Machine Learning Algorithms False Positive Reactions Computer Security Electronic Health Records ROC Curve
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Machine learning-based analysis on pharmaceutical compounds interaction with polymer to estimate drug solubility in formulations.

Scientific reports Jul 2, 2025
This study introduces a sophisticated predictive framework for determining drug solubility and activity values in formulations via machine learning. The framework utilizes a comprehensive dataset consisting of more than 12,000 data rows and 24 input ...
Polymers Pharmaceutical Preparations Solubility Machine Learning Algorithms
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Deep molecular profiling of synovial biopsies in the STRAP trial identifies signatures predictive of treatment response to biologic therapies in rheumatoid arthritis.

Nature communications Jul 2, 2025
Approximately 40% of patients with rheumatoid arthritis do not respond to individual biologic therapies, while biomarkers predictive of treatment response are lacking. Here we analyse RNA-sequencing (RNA-Seq) of pre-treatment synovial tissue from the...
Biopsy Female Antirheumatic Agents Humans Aged Male Rituximab Treatment Outcome Machine Learning Middle Aged Precision Medicine Gene Expression Profiling Antibodies, Monoclonal, Humanized Etanercept Transcriptome Synovial Membrane Arthritis, Rheumatoid
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Enhancing breast cancer diagnosis through machine learning algorithms.

Scientific reports Jul 2, 2025
Among the most important health concerns in the world, and the number one cause of death in women, is breast cancer. Bearing in mind that there are more than 100 types of cancer, each presenting different symptoms, its early detection is indeed a big...
Early Detection of Cancer Prognosis Female Breast Neoplasms Machine Learning Algorithms Humans
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Predictive modelling of air pollution affecting human tuberculosis risk on Mainland China.

Scientific reports Jul 2, 2025
In this study, we investigated the correlation between air pollution indicators and pulmonary tuberculosis (TB) incidence and mortality rates across provincial administrative regions of China from January 2013 to December 2020 to develop predictive m...
Humans Machine Learning Air Pollution Tuberculosis Seasons Tuberculosis, Pulmonary China Incidence Air Pollutants
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