AI Reads Breast MRI Scans to Predict Cancer Recurrence Risk Before Surgery
A new deep learning radiomics model built on preoperative multiparametric MRI achieved AUCs up to 0.95 in predicting three-year breast ...
Tag: Machine Learning
AI Maps Whole Gene Networks That Cancers Cannot Live Without
A machine learning framework called BioBombe maps the biological processes that cancers depend on for survival, revealing new vulnerabilities and ...
Lightweight AI Tool Outsmarts Deep Learning at Spotting Disordered Proteins
A researcher at IIIT Allahabad has developed IDP-T5CKNN, a lightweight protein language model method that outperforms more than 20 existing ...
New Two-Stage Regression Framework Tames Multicollinearity and Boosts Prediction Accuracy
Researchers at Persian Gulf University have developed matrix balance regression, a two-stage framework that combines a stabilized parametric model with ...
AI Reads the Tumor and Its Surroundings to Predict Surgery Risks in Thymoma Patients
A retrospective study found that combining a thymoma with a three-millimeter rim of surrounding tissue on CT scans improved machine ...
Machine Learning Puts Handwriting-Based Personality Analysis to a Rigorous Test
A rigorous cross-validated study of over 300 participants in Gujarat, India, found that manually coded graphological handwriting features failed to ...
Simple Armband Reads Hand Gestures With Surgical Precision
Researchers in New Delhi have built a wireless force myography armband that classifies twenty hand gestures with over 96 percent ...
AI Steps Into the Emergency Room and the Disaster Zone, But Nurses Are Still Waiting
A new scoping review maps how artificial intelligence is being tested across emergency care and disaster response, and finds that ...
AI Watchdog That Learns Normal Water and Spots Contamination in Real Time
A new AI-IoT framework combining an LSTM autoencoder with Random Forest regression achieves near-perfect anomaly detection and accurate water quality ...
AI and Machine Learning Take Center Stage in Measuring the Economic Fallout of Digital Transformation
A new survey in the Journal of Big Data uses machine learning, deep learning, and advanced analytics to evaluate the ...
Extreme Rains Reshape Wetland Plant Diversity Across Scales at Poyang Lake
A remote sensing and machine learning study of Poyang Lake reveals that extreme precipitation drives wetland plant diversity through scale-dependent ...
Immune-Inspired Optimization Keeps Rural Farm Supply Chains Alive Under Disruption
A Colombian case study shows that a unified robust–stochastic optimization model with an immune-inspired adaptive regulation layer dramatically improves operational ...
AI Reads the Color of Photocatalyst Powders to Purify Drug-Polluted Water
Researchers combined manganese-doped ZnO/silica nanocomposites with machine learning and digital colorimetry to achieve rapid, nondestructive quality control and 96% visible-light ...
AI Foundation Models Show Promise for Forecasting Infectious Disease Outbreaks Across Countries
A large retrospective benchmark across six countries and more than 70 infectious diseases finds that zero-shot time series foundation models ...
Mask-Aware AI Transformer Outperforms Benchmarks in Forecasting GDP From Incomplete Data
A new mask-aware transformer architecture that explicitly tracks missing macroeconomic data outperformed statistical, recurrent, and modern forecasting benchmarks in fixed-origin ...
Machine Learning and a Soil Bacterium Reveal How Tomatoes Fight a Devastating Wilt
Researchers at Hainan University combined transcriptomics, network analysis, and machine learning to show how Bacillus safensis strain H23 primes tomato ...
Neural ODEs and Graph Attention Team Up to Predict How Opinions Spread Online
A new model called GA-ODE combines graph attention networks with ordinary differential equation constraints to predict opinion evolution on social ...
Deep Learning’s Anomaly Detection Supremacy May Be an Illusion, Study Finds
A reproducibility study of 18 influential papers finds that data leakage, silently modified datasets, and underspecified baselines have inflated claims ...
New Benchmark Harness Puts Recommender Systems to a Statistically Honest Test
A new open-source benchmark called towerbench brings frozen evaluation protocols, paired bootstrap statistics and rolling-origin windows to recommender system testing, ...
Machine Learning Reads Protein Disorder to Sort Autism Genes from the Rest
A new machine learning study shows that the amount of intrinsic disorder in a gene's protein product can help distinguish ...
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