Machine Learning Model Forecasts Wheelchair Milestone in Duchenne Muscular Dystrophy
A machine learning tool combining quantitative muscle MRI fat fractions with clinical scores predicts when boys with Duchenne muscular dystrophy ...
A machine learning tool combining quantitative muscle MRI fat fractions with clinical scores predicts when boys with Duchenne muscular dystrophy ...
A stacking machine learning model integrating pain, school, psychosocial, and family variables identified comorbid anxiety disorder in children and adolescents ...
A Random Forest classifier predicts U.S. News mechanical engineering graduate program rank intervals with 0.91 test accuracy, revealing which measurable ...
A comparative machine-learning study found that meditation, behavioral and lifestyle survey data can predict self-reported anger-management improvement in adolescents, but ...
A critical review finds that integrating machine learning, quantum chemistry, molecular dynamics and experiments could accelerate corrosion-inhibitor design, but weak ...
Researchers at Amrita Vishwa Vidyapeetham built an explainable machine learning framework that predicts student dropout risk from academic, financial, health, ...
A new study in Scientific Reports introduces a hybrid framework using variable fuzzy sets and convolutional neural networks to assess ...
Mayo Clinic researchers developed an artificial intelligence model that uses routine electronic health record data to predict pancreatic cancer risk ...
A deep learning model that reads multiregional contrast-enhanced breast MRI can predict whether chemotherapy has completely cleared the axillary lymph ...
Researchers in Algeria have built an optimized neural network that predicts the analgesic activity of drug-like molecules with 95.9 percent ...
A new review details how machine learning is accelerating the design of implantable drug delivery systems, from ocular and cochlear ...
A new perspective argues that the systematic underrepresentation of African surveillance data in global arbovirus modeling distorts risk prediction and ...
Machine learning is accelerating target identification, toxicity prediction and drug repurposing, but researchers insist algorithmic discoveries still demand rigorous experimental ...
A two-step machine learning framework trained on more than 23,000 clinical records from Indian newborn units identified 84.9 percent of ...
Researchers have developed a Michigan-style genetic fuzzy system that turns sparse multiple sclerosis records into transparent forecasts of disability progression, ...
A two-stage machine learning framework can predict health insurance claim denials before submission and assign likely reason codes, achieving a ...
A closed-form mathematical criterion derived from a logistic growth-inactivation balance identifies the latest moment a UV-C or cold atmospheric plasma ...
Turkish researchers tested fifteen machine learning models to predict chemotherapy response in metastatic colorectal cancer, finding that a tuned LightGBM ...
A five-center study shows deep learning models, especially nnU-Net, predict aggressive meningioma grades from MRI more reliably across hospitals than ...
A landmark analysis of nearly 60,000 cancer patients reveals that cachexia occurs in recurring episodes tied to tumor genetics and ...
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