OBJECTIVES: To evaluate intratumoral subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma (ccRCC), and investigate the biological mechanisms of radiomics. MATERIALS AND METHODS: This retrospecti... read more
European journal of mass spectrometry (Chichester, England)
Feb 16, 2026
This research introduces a model utilizing machine learning for forecasting Chemical Ionization Mass Spectrometry (CIMS) signal intensity in pesticide detection, using dibromomethane (DBrMe) as a reagent. Accurate detection of pesticides is crucial f... read more
The Journal of clinical investigation
Feb 16, 2026
BACKGROUNDChronic graft-versus-host disease (cGVHD) is a major contributor to nonrelapse mortality (NRM) following hematopoietic cell transplantation (HCT). Whether machine-learning (ML) models with biomarkers improve the accuracy for predicting futu... read more
Cardiovascular diseases (CVDs) and diabetes mellitus (DM) are significant conditions that impact lives around the globe. Frequently employed methods for detecting CVDs and/or DM such as blood work and cardiac catheterisation are often invasive, intru... read more
IEEE transactions on computational biology and bioinformatics
Feb 16, 2026
Diabetes mellitus disease has become a significant human health concern globally, causing cardiovascular complications, kidney disease, cerebrovascular accidents, etc. In humans, bioactive molecules, specifically Antidiabetic peptides (ADPs), target ... read more
IEEE transactions on computational biology and bioinformatics
Feb 16, 2026
Missing data remain a critical challenge in data analysis, often leading to biased estimates and reduced reliability. Many imputation methods, operating under the assumption that similar instances share similar feature values, overlook the pivotal ro... read more
This study develops a reinforcement learning (RL)-based control framework with guaranteed predefined performance for nonlinear switched interconnected systems. This approach effectively addresses challenges arising from unmeasurable states and group ... read more
This article addresses the issue of output synchronization via intermittent dynamic event-triggered sampled-data (IDETSD) security control of reaction-diffusion neural networks (RDNNs) under spatially local averaged measurements (SLAMs) subject to bo... read more
IEEE computer graphics and applications
Feb 16, 2026
AI support in CAD is an active research field, generating an increasing number of publications. Recent surveys give a broad overview of this field, each structuring works differently, e.g., by application area. Given this magazine's and special issue... read more
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