Latest AI and machine learning research in fda general for healthcare professionals.
PURPOSE: Limited clinical data and unstable animal models hinder understanding isotretinoin-induced keratoconus. We addressed this by integrating pharmacovigilance with computational approaches. METHODS: Isotretinoin-associated ocular surface adverse events were extracted from the FDA Adverse Event Reporting System (FAERS). Disproportionality analyses detected pharmacovigilance signals, and age co...
OBJECTIVES: Despite AI's promise for radiology, clinical implementation remains limited. AI acceptance is a key factor in bridging the gap between technical validation and adoption. This systematic review identifies factors influencing the acceptance and use of clinical AI tools across the radiology workflow. MATERIALS AND METHODS: A systematic search of Ovid Medline, Embase, and Web of Science Co...
Natural products (NPs) are increasingly applied in food, medicine, and biotechnology. However, their biosynthesis remains constrained by low titers an...
BACKGROUND: To elucidate the research progress on acupuncture therapy as a complementary and alternative medicine treatment for depression by reviewin...
PURPOSE: Photon-counting computed tomography (PCCT) offers versatile anatomic information because of better energy discrimination and higher spatial r...
INTRODUCTION: The United States Food and Drug Administration (FDA) requires post-marketing surveillance of approved drugs, and pharmaceutical manufact...
Antibiotic failure has emerged as a critical global health concern, driven by a combination of factors including the stagnation in the discovery of ne...
The recent wave of recreational cannabis legalization in the US has underscored the importance of identifying predictors of individual variability in ...
We conduct a comprehensive study on the quality inspection of lithium battery materials, which evaluates material conformity by analyzing particle siz...
BACKGROUND: Rapid and low-cost classification of oil and its derivatives is critically important for on-site inspection, quality monitoring, and field...
Biogenic amines (BAs), typically arising from the fermentation of protein-rich food matrices or products with extended fermentation cycles, posing sig...
BACKGROUND: Although affective disorders are a major driver of disability worldwide, there is a lack of understanding of the mechanisms and modulating...
INTRODUCTION: MRI compatible EEG systems enable simultaneous EEG-fMRI data assessment, which provides high spatial and high temporal resolution of neu...
The complementary integration of artificial intelligence (AI) in the workplace requires balancing performance goals with psychological needs, as both ...
Rice cooking and eating quality (CEQ), a core agronomic trait tied to consumer preference and market value, is regulated by endosperm starch, protein,...
The abuse of stimulants poses a significant threat to public health and the integrity of competitive sports, necessitating the development of highly s...
Surface-Enhanced Raman Spectroscopy (SERS) has become a valuable way to detect small amounts of molecules due to its high sensitivity. Nonetheless, ap...
Algorithmic decision support is rapidly becoming a staple of personalized medicine, particularly for high-stakes recommendations such as cancer subtyp...
The blood-brain barrier (BBB), crucial for central nervous system (CNS) homeostasis, poses challenges for drug delivery in CNS diseases due to selecti...