AIMC Topic: Machine Learning

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Development and performance of female breast cancer incidence risk prediction models: a systematic review and meta-analysis.

Annals of medicine Jul 20, 2025
INTRODUCTION: Accurate breast cancer risk prediction is essential for early detection and personalized prevention strategies. While traditional models, such as Gail and Tyrer-Cuzick, are widely utilized, machine learning-based approaches may offer en...
Models, Statistical Risk Assessment Incidence Early Detection of Cancer Risk Factors Breast Neoplasms Humans Machine Learning Female
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Exploration of common pathogenic genes between cerebral amyloid angiopathy and insomnia based on bioinformatics and experimental validation.

Scientific reports Jul 20, 2025
Cerebral amyloid angiopathy (CAA) and insomnia are age-related neurological disorders increasingly recognized as being closely associated. However, research on the shared genes and their biological mechanisms remains limited. This study aims to ident...
Gene Expression Profiling Cerebral Amyloid Angiopathy Protein Interaction Maps Female Gene Regulatory Networks Humans Computational Biology Animals Gene Expression Regulation Machine Learning Male Sleep Initiation and Maintenance Disorders
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Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach.

Scientific reports Jul 20, 2025
Acute myocardial infarction (AMI) is a serious heart disease with high fatality rates. The progress of AMI involves immune cell infiltration. However, suitable clinical diagnostic biomarkers and the roles of immune cells in AMI remain unknown. Three ...
Machine Learning Mast Cells Biomarkers Myocardial Infarction Humans ROC Curve Gene Expression Profiling Gene Regulatory Networks Databases, Genetic
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Advanced QSPR modeling of profens using machine learning and molecular descriptors for NSAID analysis.

Scientific reports Jul 20, 2025
In this paper, we present a predictive model based on artificial neural network (ANN) to evaluate principal physicochemical properties of a set of anti-inflammatory drugs based on chosen topological indices. The molecular descriptors were calculated ...
Quantitative Structure-Activity Relationship Machine Learning Anti-Inflammatory Agents, Non-Steroidal Neural Networks, Computer
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DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit.

BMC bioinformatics Jul 20, 2025
BACKGROUND: Identification of drug target interactions (DTI) is an important part of the drug discovery process. Since prediction of DTI using laboratory tests is time consuming and laborious, automated tools using computational intelligence (CI) tec...
Algorithms Drug Discovery Deep Learning Computational Biology Humans Machine Learning
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Application of machine learning algorithms and SHAP explanations to predict fertility preference among reproductive women in Somalia.

Scientific reports Jul 20, 2025
Fertility preferences significantly influence population dynamics and reproductive health outcomes, particularly in low-resource settings, such as Somalia, where high fertility rates and limited healthcare infrastructure pose significant challenges. ...
Humans Machine Learning Adolescent Fertility Somalia Algorithms Female Young Adult Adult Cross-Sectional Studies Middle Aged
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Newborn Pulse-Oximetry Screening.

Clinics in perinatology Jul 19, 2025
Pulse oximetry screening (POS) is a noninvasive tool for the detection of critical congenital heart defects (CCHD) that has moderate sensitivity and high specificity. It is readily accepted by parents and health care professional and has significantl...
Humans Neonatal Screening Heart Defects, Congenital Machine Learning Oximetry Algorithms Infant, Newborn
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Enhancing cardiac disease detection via a fusion of machine learning and medical imaging.

Scientific reports Jul 19, 2025
Cardiovascular illnesses continue to be a predominant cause of mortality globally, underscoring the necessity for prompt and precise diagnosis to mitigate consequences and healthcare expenditures. This work presents a complete hybrid methodology that...
Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Cardiovascular Diseases Echocardiography Middle Aged Diagnostic Imaging Heart Diseases Humans Neural Networks, Computer Machine Learning Female Male
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Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks.

Scientific reports Jul 19, 2025
Accurate and efficient analysis of Electroencephalogram (EEG) signals is crucial for applications like neurological diagnosis and Brain-Computer Interfaces (BCI). Traditional methods often fall short in capturing the intricate temporal dynamics inher...
Neural Networks, Computer Machine Learning Algorithms Humans Signal Processing, Computer-Assisted Brain-Computer Interfaces Wavelet Analysis Deep Learning Electroencephalography
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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.

Scientific reports Jul 19, 2025
Low birthweight (LBW) is a significant health challenge worldwide, as these neonates experience both short- and long-term disabilities. Factors affecting maternal and fetal health during early to mid-pregnancy can greatly influence fetal development....
Humans Adult Artificial Intelligence Machine Learning Birth Weight Pregnancy Algorithms Female Prospective Studies Infant, Newborn Biomarkers
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