Machine Learning Links Flame Retardant TDCPP to Endometrial Cancer Genes
A machine learning and bioinformatics study identified six potential hub genes linking the organophosphate flame retardant TDCPP to endometrial cancer ...
Tag: Machine Learning
Machine Learning Pinpoints Three Genes Linking Type 2 Diabetes to Worse Bypass Surgery Outcomes
Researchers integrating bioinformatics, machine learning, clinical validation and in vitro experiments identified MINPP1, HES4 and SLCO5A1 as core signature genes ...
AI, automation and novel assays accelerate the hunt for new medicines
Volume 43 of SLAS Discovery presents AI-guided screening, automated platforms and new cell-based assays that accelerate drug discovery across infectious ...
New AI model weighs when protein look-alikes can be trusted
EIHR-PROT combines protein language model embeddings with homology search priors through a learned gate that adjusts fusion weights based on ...
Machine Learning Model Shows Moderate Accuracy for Complex Coronary Lesions in Diabetes
A retrospective study evaluating a gradient boosting model incorporating heart function and inflammatory markers found moderate discrimination but no clear ...
New Model Detects Anomalies in Complex Network Data
A new framework called AMG improves unsupervised anomaly detection in complex attributed multiplex heterogeneous networks by integrating multi-channel graph convolutional ...
ML Model Predicts Ovarian Tumor Recurrence After Surgery
A new machine learning model developed by researchers predicts the risk of recurrence in patients with borderline ovarian tumors undergoing ...
AI ECG Model Validates as Heart Attack Triage Adjunct
A prospective diagnostic cohort study validates an AI-ECG algorithm as an adjunct to troponin tests for early heart attack diagnosis ...
Hyperspectral Imaging and Machine Learning Accurately Authenticate Traditional Rubia Medicinal Plants
Researchers combined hyperspectral imaging with explainable machine learning to accurately identify authentic Rubia cordifolia medicinal roots and trace their geographical ...
Ultrasound radiomics with machine learning shows modest accuracy in assessing fetal ventricular disproportion
A retrospective single-centre study found that echocardiography-based radiomics with machine learning achieved only moderate accuracy in distinguishing fetal ventricular disproportion ...
Machine learning model predicts tensile strength of fiber-reinforced polymer composites
A machine-learning framework combining neural-network prediction, SHAP explainability and genetic-algorithm optimization screened tensile strength in a 10,000-record fiber-reinforced polymer composite ...
Compact AI Model Predicts Protein Stability With Fewer Parameters
A compact energy-based neural network called LEEN predicts protein stability changes from single amino acid substitutions using roughly 2 to ...
AI Model Uses Impedance Data for Cancer Screening in Dialysis
A new explainable AI framework integrates bioelectrical impedance and clinical data to screen for cancer in peritoneal dialysis patients, showing ...
Random Forest Model Demonstrates High Accuracy for Cervical Cancer Risk Stratification
Researchers developed a Random Forest machine learning model using 11 clinical, molecular, and cytological predictors to stratify individual cervical cancer ...
Machine Learning Pins Down Where Edible Seaweed Comes From
Combining near-infrared spectroscopy, elemental profiles, and stable isotope ratios with random forest achieved 87.5 percent accuracy in identifying the geographical ...
Biological Modules Aid Stability but Not Discrimination in Breast Cancer Subtyping
A systematic benchmark reveals that biologically structured module representations offer feature stability across breast cancer datasets without consistently outperforming gene-level ...
Graph Diffusion Convolution Enhances Inductive Link Prediction Across Complex Networks
A hybrid framework combining graph diffusion convolution with GraphSAGE improves inductive link prediction across diverse benchmark networks by capturing long-range ...
Machine learning sharpens leukemia diagnosis but waits on rigorous validation
A literature review finds that machine learning and bioinformatics have improved AML classification and risk stratification, but clinical implementation remains ...
LiveCtx Boosts Conversational AI Accuracy by Selecting Context at Query Time
A study shows that delaying conversation history compression until query time improves answer accuracy in long-running artificial intelligence dialogues.
Machine Learning Optimizes Retired Electric Vehicle Battery Reuse for Carbon Reductions
Coupling machine learning degradation forecasts with dynamic carbon accounting extends electric vehicle battery service lifetimes while reducing life cycle emissions ...
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