INTRODUCTION: Prognostication at 90 and 180 days after thrombolysis for acute ischemic stroke (AIS) is critical, yet the temporal evolution of key predictors remains inadequately understood. The utility of machine learning for systematically comparin...
BACKGROUND: The Left Atrial-Ventricular Coupling Index (LACI), which quantifies the volumetric interaction between the left atrium and ventricle, has emerged as a promising prognostic marker for cardiovascular events.
Lung cancer remains a significant cause of mortality, with non-small cell lung cancer (NSCLC) representing most cases. Currently, clinical data based models fall short in predicting survival while more advanced deep learning based image models requir...
BACKGROUND: Reusing long-term data from electronic health records is essential for training reliable and effective health artificial intelligence (AI). However, intrinsic changes in health data distributions over time-known as dataset shifts, which i...
International journal of pharmaceutics
Dec 2, 2025
Autoinjector devices are a specialized type of medical equipment used for the self-administration of medications. Over the past decade, the significance in these devices has increased, both in terms of their usage and academic interest. An important ...
BACKGROUND: Keystroke dynamics on smartphones have emerged as a promising form of passive digital biomarker. While previous studies have explored their utility in several diseases and disorders, relatively few have examined how these dynamics change ...
OBJECTIVE: To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using comprehensive health examination data from nearly 37 701 individuals.
BACKGROUND: Patients with acute coronary syndrome (ACS) who undergo percutaneous coronary intervention (PCI) remain at high risk for major adverse cardiovascular events (MACE). Conventional risk scores may not capture dynamic or nonlinear changes in ...
Journal of chemical information and modeling
Nov 26, 2025
Protein structure database search has become increasingly challenging due to the growing number of experimental and computational structures. We introduce mTM-align2, a novel two-step approach for rapid and accurate protein structure database search....
Transcranial magnetic stimulation is a non-invasive neurostimulation and neuromodulation technique that induces electric fields (-fields) in the brain via a coil placed over the scalp. Our objective is to develop a real-time estimation method for the...
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