Latest AI and machine learning research in clinical trials for healthcare professionals.
In this article, we introduce the notion of safe predefined-time stability and address an optimal safe predefined-time stabilization problem. In particular, safe predefined-time stability characterizes parameter-dependent nonlinear dynamical systems whose trajectories starting in a given set of admissible states remain in the set of admissible states for all time and converge to an equilibrium poi...
Foreign objects such as packaging bags on the road pose a significant threat to driving safety, especially at high speeds or under low-visibility conditions. However, research on detecting road packaging bags remains limited, and existing object detection models face challenges in small object detection, computational efficiency, and embedded deployment. To address these issues, the lightweight de...
Prostate cancer (PCa) remains a leading cause of cancer-related morbidity and mortality among men worldwide. Multiparametric MRI (mpMRI) is currently ...
Adeno-associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed...
The role of artificial intelligence (AI) in cancer drug discovery and development has garnered significant attention due to its potential to transform...
The rising cancer incidence has increased demand for radiation oncologists, surpassing current staffing expansion estimates. Enhancing radiation oncol...
Intraoperative hypotension (IOH) is associated with morbidity and mortality. The Hypotension Prediction Index (HPI), a machine learning-based tool, of...
PURPOSE: Based on the frequency of postembolization syndrome (PES) after transarterial chemoembolization (TACE), early detection and management of sym...
Antiphospholipid syndrome is a rare systemic autoimmune disorder with complex pathophysiology and high heterogeneity in clinical presentation and trea...
Psychotherapy and antidepressant medications are first-line treatments for depression, and they both have significant treatment effects on average. H...
The utilization of large language model-based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance ...
BACKGROUND: Virtual reality (VR) simulators are increasingly used in dental education, offering advantages such as repeatable practice and immediate f...
The marine ecosystems of the Svalbard archipelago are now propelled towards a new climatic state owing to the ongoing "Atlantification" process. Fjord...
Communicating Narrative Concerns Entered by RNs Early Warning System (CONCERN EWS) is a machine-learning predictive model that leverages nursing surve...
BACKGROUND: Early treatment is critical for improving eating disorder prognosis. Single-session interventions (SSIs) can provide short-term support to...
Status epilepticus (SE), seizures lasting beyond five minutes, is a medical emergency commonly treated with benzodiazepines which enhance GABA recepto...
With rapid upsurge in technology and digital tools, the existing systems including the healthcare systems, especially the pharmaceutical sector is exp...
Hospital length of stay (HLOS) is a critical healthcare metric influencing patient outcomes, resource utilization, and healthcare costs. While reducin...
A universal strategy to precisely control protein activation in living animals is crucial for gain-of-function study of proteins under in vivo setting...
Denosumab is a potent antagonist of RANKL and is widely used to treat severe postmenopausal osteoporosis. Using high-resolution mass spectrometry (HRM...