Researchers Outline Roadmap for Ecological Foundation Models to Understand Nature
An international team of scientists has outlined a roadmap for developing ecological foundation models to integrate diverse environmental data and ...
Tag: Machine Learning
Machine Learning Model Predicts Pediatric Sepsis Risk Using Routine Clinical Indicators
A multicenter retrospective study demonstrates that a random forest model using routine clinical indicators can assist in early pediatric sepsis ...
Machine Learning Model Estimates Three-Year Cardiac Risks Following Bypass Surgery
A multicenter retrospective study of 3,930 adult bypass surgery patients across eight cardiac centers in China found that an Extremely ...
ANGPT2 Identified as Key Driver in Liver Cancer Progression
A new prognostic model for hepatocellular carcinoma identifies ANGPT2 as a key driver of malignant progression and immune resistance.
Machine Learning and Topological Analysis Identify COVID-19 in Lung Scans
Researchers have developed a diagnostic framework combining persistent homology and machine learning that detects COVID-19 in chest computed tomography scans ...
Machine Learning Identifies High-Risk Paratransit Drivers in Bangladesh
A new machine learning framework identifies high-risk paratransit drivers in Gazipur, Bangladesh, with logistic regression outperforming complex ensembles in predicting ...
Computational and Cellular Study Links Air Pollutants to NOS2 in Depression
Researchers identified nitric oxide synthase 2 as a possible molecular link between air pollutant exposure and biological pathways implicated in ...
Cuproptosis Gene Signature and CDKN1A Show Protective Potential in Sepsis-Induced ARDS
Researchers have identified an eight-gene cuproptosis signature that identifies sepsis-induced acute respiratory distress syndrome while demonstrating that CDKN1A overexpression protects ...
Fine-Tuned BioBERT Improves Entity Extraction from Breast Cancer Clinical Summaries
Fine-tuned BioBERT achieved a 97.03 F1-score extracting clinical entities from breast cancer summaries, though dosage and cancer stage remained more ...
Machine Learning Models Show Lower Reporting Quality in COVID-19 Research
A systematic review finds that machine learning-based COVID-19 prognostic models have significantly lower reporting quality than conventional statistical models, with ...
Genetic Markers May Predict PPI Response in Pediatric EoE
A new study identifies CHST3 genetic variants and food allergy as potential predictors of proton pump inhibitor response in children ...
Simple Text Models Match Complex Neural Baselines in Robotic Automation Discovery
Researchers evaluating robotic process automation discovery found that simple word-level text classifiers match complex neural representations while highlighting the generalization ...
New TRIPOD-Code Protocol Aims to Standardize Prediction Model Reporting
A new protocol published in Diagnostic and Prognostic Research outlines the five-stage development of TRIPOD-Code, a reporting guideline aimed at ...
Machine Learning Uncovers Composition and Climate Retrofit Potential of Swiss Windows
Researchers combined building energy performance certificates with machine-learning models to map window glazing and frame distributions across 1.51 million Swiss ...
Radiomics Accurately Identifies Vulnerable Carotid Artery Plaques in Comprehensive Review
A systematic review of 28 studies reveals that radiomics models identify vulnerable carotid artery plaques more effectively than conventional stenosis ...
RNA Foundation Models Improve Non-Coding RNA Annotation
A new review in BMC Artificial Intelligence details how RNA sequence foundation models are enhancing the prediction of non-coding RNA ...
Shenzhen mangroves emerge as carbon sink powerhouse in new study
Shenzhen's Futian mangroves posted an annualized net ecosystem production of roughly 1265.5 grams of carbon per square meter per year, ...
AI Model Cuts Wireless Transmission Delays in Industrial Networks
A new machine learning framework reduces average transmission cycle time by 63% in industrial 802.11 g wireless networks by adaptively ...
Machine Learning Models Predict Breast Cancer Survival in Brazil
A study in Brazil developed machine learning models and nomograms to predict breast cancer survival using population-based registry data, with ...
New Framework Uses Synthetic Data to Reduce ML Bias
A new preprocessing framework generates synthetic data to reduce representation bias in machine learning models while maintaining competitive predictive performance.
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