Latest AI and machine learning research in fda general for healthcare professionals.
The objective of this study is to determine whether 510(k) clearance duration for AI-enabled devices...
Artificial intelligence (AI) systems, particularly deep learning models, are increasingly used in de...
Cis-regulatory elements (CREs) orchestrate the spatiotemporal precision of gene expression that unde...
Plant-microbial partnerships and their underlying molecular mechanisms are indispensable, natural dr...
The FDA Modernization Act and the subsequent federal policy changes in 2025 have signaled a shift to...
Real-time and highly selective monitoring of acetone (C3H6O) is crucial for industrial safety and oc...
Myopia remains a major global ophthalmic challenge, as existing interventions can slow but rarely ha...
OBJECTIVE: This review presents Darwinian nanomedicine as an artificial intelligence (AI)-enabled dr...
Small interfering RNA (siRNA) therapeutics have emerged as a transformative approach for sequence-sp...
Drug-induced liver injury (DILI) is a complex and intractable disease because existing anti-oxidate ...
Machine learning (ML) is increasingly utilized in medical research. However, underrecognized methodo...
BACKGROUND: Screening is important for early detection of cervical cancer in low- and middle-income ...
PURPOSE: Several clinical trial studies have shown correlations between certain physiological measur...
New Approach Methodologies (NAMs) represent a paradigm shift in drug development and regulatory scie...
Exercise is a low-cost lifestyle intervention that can prevent and alleviate various diseases. It is...
How domestication shapes brain evolution remains an open question. In this study, we integrated sing...
Artificial intelligence (AI) is rapidly transforming histopathology, with applications ranging from ...
BACKGROUND: Cleaning is the foundational step in medical device reprocessing; residual soil and biof...
Prior authorization (PA) imposes substantial administrative burdens on clinicians, contributing to b...
Rheumatology faces sustained workforce strain, widening access gaps, and escalating administrative b...
Real-time sensor networks are widely used to monitor the quality of surface waters; however, transla...