A comprehensive narrative review reveals that clinical safety profiles and therapeutic outcomes of Janus kinase inhibitors vary substantially across specific molecules, routes of administration, and patient populations.
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A computational study using machine learning identified two palmitoylation-related genes as prognostic biomarkers in lung cancer and nominated montelukast sodium as a candidate repurposed therapeutic.
A comprehensive scientific review reveals that gut dysbiosis drives immunometabolic reprogramming in mucosal and epithelial cells, preventing complete inflammation resolution and increasing vulnerability to inflammatory...
A comprehensive narrative review reveals that clinical safety profiles and therapeutic outcomes of Janus kinase inhibitors vary substantially across specific molecules, routes of administration, and...
A narrative review in Frontiers in Medicine finds artificial intelligence tools for cutaneous lupus erythematosus remain investigational, showing early promise for diagnostic assistance while requiring...
A systematic review indicates that risk communication strategies for patients with cardiovascular disease, atrial fibrillation, or heart failure remain highly heterogeneous across clinical studies.
A scoping review of 29 studies shows ultrasound guidance improves musculoskeletal injection placement accuracy, but long-term clinical superiority and cost-effectiveness remain undetermined.
A study demonstrates that federated learning models for ICU mortality prediction preserve feature explainability consistency and high predictive performance compared to centralized approaches.
Researchers identified distinct transcriptional mechanisms and a single nucleotide difference that control fructan 1-exohydrolase isoform activation in chicory taproots under abiotic stress.
A twelve-year empirical study of China's A-share equity market shows that deep learning models such as LSTMs and Transformers outperform traditional linear benchmarks in predicting...
Nina Wang, a researcher affiliated with the institution listed in the study, developed a machine learning framework named ProgressEthno to evaluate learner performance in ethnic...
Researchers have developed eLSHADE+, an adaptive hybrid metaheuristic that improves dynamic model calibration in large-scale systems biology.
Researchers established that vacuum diffusion bonding of a rare-earth magnesium alloy achieves its highest shear strength at 540 degrees Celsius through thermally driven elemental homogenization.
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