Latest AI and machine learning research in fda general for healthcare professionals.
Real-time sensor networks are widely used to monitor the quality of surface waters; however, translating detected anomalies into clear operational actions remains challenging. Deep learning (DL) models can detect deviations effectively, but they rarely provide interpretable or regulation-relevant explanations, and existing explainable artificial intelligence (XAI) tools offer limited practical val...
BACKGROUND: The management of severe asthma with biologics has become more complex involving multidisciplinary team meetings. Artificial intelligence has been proposed as an adjunct to aid healthcare professionals in other areas of the medical field. OBJECTIVE: Our aim is to determine if there is a role for artificial intelligence, as an adjunct to the severe asthma multidisciplinary team meeting,...
Neuromuscular diseases (NMDs) encompass over 800 distinct entities affecting approximately one in 1000 individuals worldwide, with progressive muscle ...
The increasing biological complexity and heterogeneity of cancer have driven a shift in oncology drug discovery from single-target approaches toward s...
BACKGROUND AND AIMS: Post-traumatic stress disorder (PTSD) comorbid with depression is a prevalent, treatment-refractory clinical syndrome. Emerging e...
This review discusses recent trends in smell and odor-sensing studies, including materials, devices, and interfaces. Since the invention of chemical s...
Alternative splicing is a fundamental biological mechanism that increases protein diversity and regulates critical cellular processes across eukaryote...
Generative artificial intelligence (GenAI) is rapidly transforming the context in which adolescents develop, presenting both opportunities and risks. ...
BACKGROUND: Ghana's imaging services face rising demand, uneven digital infrastructure, and limited access to advanced modalities. Artificial intellig...
The recurring Nipah virus outbreaks and the lack of effective antiviral therapies, emphasize the urgent need for effective therapeutic interventions. ...
OBJECTIVE: To compare the ability of large language models (LLMs) and otolaryngologists to identify prognostic signals from brief clinical vignettes i...
Chronic rhinosinusitis with nasal polyps (CRSwNP) is characterized by inflammatory heterogeneity, epithelial hyperplasia, and tissue remodeling, with ...
Airway remodeling is increasingly recognized as a major determinant of asthma progression, fixed airflow limitation, and long-term morbidity, particul...
BACKGROUND AND AIMS: Artificial intelligence (AI) is increasingly being integrated into neurosurgical practice, offering capabilities in diagnostic im...
Global biodiversity is declining, driven by multiple, interacting pressures including the 5 most prominent of resource use, habitat loss, invasive spe...
BACKGROUND: Multidrug-resistant (MDR) ESKAPE pathogens, including Enterococcus faecium, S. aureus, Klebsiella pneumoniae, Acinetobacter baumannii, P. ...
BACKGROUND: Medicinal diet, a core practice in Traditional Chinese medicine (TCM) rooted in the principle of "medicine and food homology", offers pote...
Increasing evidence indicates that cellular senescence, metabolic dysfunction, stromal remodeling, and immune perturbation collectively contribute to ...
Hyperuricemia (HUA) and gout are increasingly prevalent metabolic disorders, imposing a substantial global health burden. Although conventional urate-...
Fatty acid signatures (FA signatures), defined as the relative distribution of saturated, monounsaturated, and polyunsaturated fatty acids within spec...