AIMC Topic: Machine Learning

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Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis.

Journal of translational medicine Aug 19, 2025
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic nonspecific inflammatory disorder triggered by immune responses and genetic factors. Currently, there is no cure for IBD, and its etiology remains unclear. As a result, early detection and dia...
Support Vector Machine Algorithms Humans Neural Networks, Computer Inflammatory Bowel Diseases Gene Ontology Machine Learning Gene Expression Profiling
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Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification.

Scientific reports Aug 19, 2025
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us...
Humans Diabetic Retinopathy Neural Networks, Computer Image Processing, Computer-Assisted Glaucoma Ensemble Learning Principal Component Analysis Machine Learning Eye Diseases Algorithms Deep Learning
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Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors.

Scientific reports Aug 19, 2025
The kidney is an important organ that helps clean the blood by removing waste, extra fluids, and harmful substances. It also keeps the balance of minerals in the body and helps control blood pressure. But if the kidney gets sick, like from a tumor, i...
Algorithms Humans Decision Trees Support Vector Machine Machine Learning Kidney Neoplasms
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Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations.

Scientific reports Aug 19, 2025
Sepsis is a condition resulting from the uncontrolled immune response to infection, leading to widespread inflammatory damage and potentially fatal organ dysfunction. Currently, there is a lack of specific prevention and treatment strategies for seps...
Apoptosis Cell Death Female Child Infant, Newborn Computational Biology Adult Sepsis Child, Preschool Humans Machine Learning Biomarkers Male Infant Gene Expression Profiling
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Predicting cancer risk using machine learning on lifestyle and genetic data.

Scientific reports Aug 19, 2025
Cancer remains one of the leading causes of mortality worldwide, where early detection significantly improves patient outcomes and reduces treatment burden. This study investigates the application of Machine Learning (ML) techniques to predict cancer...
Genetic Predisposition to Disease Support Vector Machine Life Style Machine Learning Risk Factors Algorithms Aged Female Adult Risk Assessment Humans Male Middle Aged Neoplasms
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Serological proteomic characterization for monitoring liver fibrosis regression in chronic hepatitis B patients on treatment.

Nature communications Aug 19, 2025
Longitudinal serological proteomic dynamics during antiviral therapy (AVT) in chronic hepatitis B (CHB) patients with liver fibrosis remain poorly characterized. Here, using four-dimensional data-independent acquisition mass spectrometry (4D-DIA-MS),...
Liver Biopsy Hepatitis B, Chronic Liver Cirrhosis Longitudinal Studies Mass Spectrometry Female Adult Male Middle Aged Antiviral Agents Proteomics Humans Machine Learning Biomarkers
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Analyzing the vulnerabilities in Split Federated Learning: assessing the robustness against data poisoning attacks.

Scientific reports Aug 19, 2025
Distributed Collaborative Machine Learning (DCML) offers a promising alternative to address privacy concerns in centralized machine learning. Split learning (SL) and Federated Learning (FL) are two effective learning approaches within DCML. Recently,...
Electrocardiography Computer Security Federated Learning Humans Machine Learning Algorithms
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Machine learning-based construction of Immunogenic cell death-related score for improving prognosis and personalized treatment in glioma.

Scientific reports Aug 19, 2025
Immunogenic cell death (ICD) is capable of activating both innate and adaptive immune responses. In this study, we aimed to develop an ICD-related signature in glioma patients and facilitate the assessment of their prognosis and drug sensitivity. Con...
Humans Immunogenic Cell Death Male Middle Aged Cell Line, Tumor Glioma Cell Movement Gene Expression Regulation, Neoplastic Cell Proliferation Female Machine Learning Biomarkers, Tumor Precision Medicine Brain Neoplasms Prognosis
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Discovering action insights from large-scale assessment log data using machine learning.

Scientific reports Aug 19, 2025
This study introduces a novel machine learning algorithm that combines natural language processing techniques, such as Word2Vec and Doc2Vec, with neural networks to identify and validate significant actions within human action sequences. Using the 20...
Machine Learning Algorithms Natural Language Processing Humans Neural Networks, Computer
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Predictive modeling of asthma drug properties using machine learning and topological indices in a MATLAB based QSPR study.

Scientific reports Aug 19, 2025
Machine learning is a vital tool in advancing drug development by accurately predicting the physical, chemical, and biological properties of various compounds. This study utilizes MATLAB program-based algorithms to calculate topological indices and m...
Asthma Humans Quantitative Structure-Activity Relationship Drug Discovery Machine Learning Anti-Asthmatic Agents Algorithms
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