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 ...
Researchers developed a Random Forest machine learning model using 11 clinical, molecular, and cytological predictors to stratify individual cervical cancer ...
Researchers from Hungary have proposed a new theoretical framework that redefines schizophrenia-spectrum disorders as a multisystem disturbance of predictive brain-body ...
A semi-supervised diffusion model accurately segments vascular plaques across multiple arteries on non-contrast CT scans using only fourteen labeled training ...
Researchers have introduced SwimmingIndividuals, an open-source agent-based model that simulates marine ecosystem dynamics and fisheries management using a hybrid CPU-GPU ...
Researchers analyzed the seismic behavior of the Kireçli Bridge to identify optimal load patterns and damping models for performance assessment.
A comprehensive multi-tissue study demonstrates that the tree shrew replicates human cellular senescence, frailty, and transcriptomic aging while responding robustly ...
Researchers have developed an adaptive spatio-temporal graph attention network that couples ship trajectory tracking with seabed acoustic sensing to reliably ...
A study in mice demonstrates that DNAH14 knockout impairs ependymal ciliary motility, leading to chronic hydrocephalus, behavioral deficits, and hippocampal ...
Researchers have developed SAIGE-QTL, an efficient Poisson mixed-model framework that directly analyzes single-cell read counts to substantially expand expression quantitative ...
A thirty-day feeding study in rats reveals that dietary protein catabolism supplies crucial Krebs cycle intermediates that, alongside 17β-estradiol, promote ...
A validation of a five-year chronic obstructive pulmonary disease prognostic model reveals stable discrimination but substantial baseline risk shifts across ...
A theoretical review proposes that spinal perineuronal nets serve as an active molecular brake regulating postsynaptic inhibitory signaling in chronic ...
Agricultural engineering researchers have developed a lightweight deep learning model capable of segmenting citrus flowers and young fruitlets in real ...
In response to these persistent vulnerabilities, a research team led by Dorjan Hitaj, Fabio De Gaspari, Flavio Corsetti, Giulio Pagnotta, ...
Researchers developed a realistic, watertight 3D-printed lung phantom to evaluate pulmonary embolism across multiple clinical imaging modalities.
A knowledge-grounded security assessment framework improves risk quantification and cross-domain access verification for large language models in smart-grid operations.
Researchers in Cameroon built and tested a machine learning model that predicts antiretroviral resistance from routine clinical data, with XGBoost ...
Operating room nurses in China report a moderate but persistent burden of occupational fatigue, and a new multi-center cross-sectional study ...
A new deep learning model can classify the severity of viral encephalitis in children from electroencephalogram recordings with an accuracy ...
A hybrid BERT, BiLSTM and BiTCN model classified suicidal ideation in Spanish social media posts with F1-scores of 93.51% and ...
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