Latest AI and machine learning research in fda general for healthcare professionals.
This paper examines in what way providers of specialized Large Language Models (LLM) pre-trained and...
This study evaluated the effectiveness of an integrated Artificial Intelligence (AI) planning tool i...
Peptides, derived primarily from natural bioactive sources, play essential roles in human physiologi...
The PET Imaging Site Qualification Program for amyloid positron emission tomography (PET) in Japan i...
Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphon...
Emerging pathogens underscore an urgent need for rapidly developed vaccines to minimize mortality an...
Numerous neurological conditions impact the brain, spinal cord, and nerves, including neurodegenerat...
Status epilepticus (SE) can be regarded as the most severe expression of seizure activity characteri...
Automated insulin delivery (AID) systems have revolutionized diabetes care by integrating continuous...
Through multi-faceted comparative analysis of MITEs across six pear genomes, we revealed their distr...
Currently, the most actively investigated rapidly acting antidepressants, anxiolytics and/or anti PT...
Branching morphogenesis orchestrates organogenesis in many tissues, including the kidney, where uret...
INTRODUCTION: Generative artificial intelligence (AI) has the potential to transform and accelerate ...
The brain growth spurt (BGS) represents a pivotal window in neurodevelopment, defined by rapid neuro...
The liver exhibits extensive circadian regulation among organs. Epidemiological studies have substan...
Tuberculosis, driven by Mycobacterium tuberculosis, remains a global health challenge due to the pat...
Two-dimensional (2D) materials and their van der Waals heterostructures (vdWHs) have shown tremendou...
Ki-67 immunohistochemistry (IHC), a commonly used assay for breast cancer risk prognostication, has ...
Lactylation, a novel post-translational modification, has been implicated in various pathophysiologi...
This article looks at the current state of aneurysm risk modeling, exploring the limitations of line...
Predicting potential drug-drug interactions (DDIs) from biomedical data plays a critical role in dru...