Machine learning
Method81 papers
- Human trial1
- Humans57
- Animals3
- In silico18
Latest
81Identifying Patients with Rapid Progression to Diabetic Retinopathy in Type 2 Diabetes: A Simple Prediction Model for Community Settings
Brain metabolism model predicts Alzheimer tau in humans
Trained on 1,088 participants, the machine learning framework predicted flortaucipir-PET with R² values of 0.34 to 0.71 and classified tau stages with…Trained on 1,088 participants, the machine learning framework predicted flortaucipir-PET with R² values of 0.34 to 0.71 and classified tau stages with 79% to 95% accuracy.
Proteomic disease prediction models generalize across biobanks
In models trained on 53,026 UK Biobank participants, 13 of 15 incident disease models maintained performance across FinnGen and All of Us cohorts.In models trained on 53,026 UK Biobank participants, 13 of 15 incident disease models maintained performance across FinnGen and All of Us cohorts.
CT biomarkers improve postoperative mortality prediction
Adding automated CT biomarkers to an ICD-based frailty score raised one-year mortality prediction AUROC from 0.75 to 0.79 in 7,638 surgery patients.Adding automated CT biomarkers to an ICD-based frailty score raised one-year mortality prediction AUROC from 0.75 to 0.79 in 7,638 surgery patients.
Early life stress accelerates epigenetic aging in zebra finches
Corticosterone treatment shifts DNA methylation profiles in young chicks toward those of older birds and reshapes longevity pathways.Corticosterone treatment shifts DNA methylation profiles in young chicks toward those of older birds and reshapes longevity pathways.
Performance of a multi-biomarker class, multi-cancer early detection (MCED) blood test in a prospectively collected cohort
Blood cell composition explains substantial variation in DNA methylation age
Cell counts explain less variation in age acceleration and only modestly affect its links to mortality and 176 incident health outcomes.Cell counts explain less variation in age acceleration and only modestly affect its links to mortality and 176 incident health outcomes.
Mental Health and Cognitive Predictors of Functional Decline in Nursing Home Residents with Type 2 Diabetes
Predictive Value of the Albumin-Bilirubin Score for All-Cause Mortality in Individuals with Stroke: Machine Learning Prediction Models with SHAP-Based Interpretation
Prediction of Prevalent Cardiovascular Disease Using Social, Environmental, and Behavioral Factors: A Vital Conditions Framework Approach
Multimodal AI for early lung cancer detection: from LDCT to clinical and molecular integration
Rapid auditory readout tracks nerve loss in gerbils
A machine-learning model trained on gerbil synapse counts separated age groups above chance when tested on 56 human listeners.A machine-learning model trained on gerbil synapse counts separated age groups above chance when tested on 56 human listeners.
Organ age acceleration and mortality risk reflect distinct biological processes
Multi-omics clocks across fourteen organs reveal divergent molecular programs and uncover thirteen candidate genes separating age acceleration from…Multi-omics clocks across fourteen organs reveal divergent molecular programs and uncover thirteen candidate genes separating age acceleration from mortality.
Physical performance predicts fracture risk in older adults
In older men, a five-variable physical model beat FRAX without bone scans, raising 10-year fracture discrimination by an area under the curve of…In older men, a five-variable physical model beat FRAX without bone scans, raising 10-year fracture discrimination by an area under the curve of 0.052.
Electrocardiogram heart age reflects past electrical burden but not future aging pace
Researchers analyzed serial electrocardiograms from over 128,000 patients to distinguish cumulative cardiac aging damage from the rate of future…Researchers analyzed serial electrocardiograms from over 128,000 patients to distinguish cumulative cardiac aging damage from the rate of future electrical changes.