AIMC Topic: Machine Learning

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Unraveling global malaria incidence and mortality using machine learning and artificial intelligence-driven spatial analysis.

Scientific reports Aug 4, 2025
Malaria remains a significant global health concern, contributing to substantial morbidity and mortality worldwide. To inform efforts aimed at alleviating the global malaria burden, this study utilized spatial analysis, advanced machine learning (ML)...
Malaria Spatial Analysis Machine Learning Global Health Incidence Humans Artificial Intelligence
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Learning behavior aware features across spaces for improved 3D human motion prediction.

Scientific reports Aug 4, 2025
3D skeleton-based human motion prediction is an essential and challenging task for human-machine interactions, aiming to forecast future poses given a history of previous motions. However, most existing works model human motion dependencies exclusive...
Machine Learning Algorithms Biomechanical Phenomena Movement Imaging, Three-Dimensional Motion Humans
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Unsupervised machine learning approach to interpret complex lower urinary tract symptoms and their impact on quality of life in adult women.

World journal of urology Aug 4, 2025
PURPOSE: To identify clinically meaningful clusters of lower urinary tract symptoms (LUTS) in adult women using an unsupervised machine learning approach and to examine their associations with patient-centered outcomes, including quality of life (QoL...
Young Adult Adult Middle Aged Machine Learning Female Aged Lower Urinary Tract Symptoms Quality of Life Unsupervised Machine Learning Japan Humans
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Prediction of the risk of transplant rejection based on RNA sequencing data of PBMCs before transplantation.

Scientific reports Aug 4, 2025
Novel methods for detecting transplant rejection are craved, since conventional methods can detect ongoing rejection that may sometimes have already caused irreversible damage in transplanted organs. Here, we applied a transcriptomics database of rec...
Humans Machine Learning Kidney Transplantation Sequence Analysis, RNA Leukocytes, Mononuclear Graft Rejection Gene Expression Profiling Liver Transplantation Transcriptome
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varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction.

Genome medicine Aug 4, 2025
BACKGROUND: Machine learning and artificial intelligence are increasingly being applied to identify phenotypically causal genetic variation. These data-driven methods require comprehensive training sets to deliver reliable results. However, large unb...
Genetic Variation Genome, Human Humans Machine Learning Software Computational Biology Genome-Wide Association Study Databases, Genetic Genomics
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A multimodal dataset for precision oncology in head and neck cancer.

Nature communications Aug 4, 2025
Head and neck cancer is a common disease and is associated with a poor prognosis. A promising approach to improving patient outcomes is personalized treatment, which uses information from a variety of modalities. However, only little progress has bee...
Machine Learning Databases, Factual Precision Medicine Humans Adult Male Middle Aged Head and Neck Neoplasms Prognosis Female Aged
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Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives.

Military Medical Research Aug 4, 2025
Conventional diagnostic and therapeutic approaches in orthopedics are frequently time intensive and associated with elevated rates of diagnostic error, underscoring the urgent need for more efficient tools to improve the current situation. Recently, ...
Humans Artificial Intelligence Machine Learning Deep Learning Orthopedics
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NAFLD progression in metabolic syndrome: a Raman spectroscopy and machine learning approach in an animal model.

The Analyst Aug 4, 2025
Nonalcoholic fatty liver disease (NAFLD) is emerging as the leading cause of chronic liver disease in many regions, particularly in association with the rising prevalence of Metabolic syndrome (MetS), affecting more than 30% of the population worldwi...
Machine Learning Liver Animals Principal Component Analysis Non-alcoholic Fatty Liver Disease Spectrum Analysis, Raman Support Vector Machine Disease Models, Animal Male Metabolic Syndrome Disease Progression Rats
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Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

The Analyst Aug 4, 2025
Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for preventing the progression of diabetes to complications. In this study, gas chromatography-mass spectrometry (GC-MS) analysis and statistical methods wer...
Hemiterpenes Exhalation Middle Aged Diabetes Complications Female Humans Diabetes Mellitus, Type 2 Butadienes Aged Machine Learning Gas Chromatography-Mass Spectrometry Gases Support Vector Machine Male Biomarkers Volatile Organic Compounds Breath Tests
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Machine learning and SHAP value interpretation for predicting the response to neoadjuvant chemotherapy and long-term clinical outcomes in Chinese female breast cancer.

Annals of medicine Aug 3, 2025
BACKGROUND: Most models of neoadjuvant chemotherapy (NACT) for breast cancer (BC) suffer from insufficient data and lack interpretability. Additionally, there is a notable absence of reports from China in this field. This study is also the first to i...
Female Aged Adult China Nomograms Breast Neoplasms Middle Aged Humans East Asian People Machine Learning Kaplan-Meier Estimate Prognosis Treatment Outcome Chemotherapy, Adjuvant Neoadjuvant Therapy Support Vector Machine
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