Latest AI and machine learning research in fda general for healthcare professionals.
BACKGROUND: The immune microenvironment significantly influences neural regeneration in spinal cord injury (SCI). Lactate activates central nervous system (CNS) glial cells, prompting the secretion of proinflammatory cytokines and triggering an inflammatory response. Mesenchymal stem cells (MSCs) make a promising future for SCI therapy due to their immune regulation and anti-inflammatory propertie...
INTRODUCTION: This randomized, prospective study (MATCH) was designed to assess the clinical utility of a machine learning-based tool (Mind.Px) that predicts patient response to the biologic drug classes used in the management of psoriasis.
Condition monitoring subsea pipelines in low-visibility underwater environments poses significant challenges due to turbidity, light distortion, and...
Living plants, while contributing to ecological balance and climate regulation, also function as natural sensors capable of transmitting information...
CERBERUS is a synthetic benchmark designed to help train and evaluate AI models for detecting cracks and other defects in infrastructure. It include...
Regarding the significant health risks of pesticide residue in foods, while current sensors still suffer from limited efficiency and stability, as wel...
As artificial intelligence (AI) further embeds itself into many settings across personal and professional contexts, increasing attention must be pai...
Adequate bridge inspection is increasingly challenging in many countries due to growing ailing stocks, compounded with a lack of staff and financial...
Gene regulation is central to understanding cellular processes and development, potentially leading to the discovery of new treatments for diseases ...
The need for students' self-regulation for fluent transitioning to university studies is known. Our aim was to integrate study-supportive activities...
The domains of food safety, quality, and nutrition are inundated with complex datasets. Machine learning (ML) has emerged as a powerful tool in food s...
Brain-computer interfaces offer significant therapeutic opportunities for a variety of neurophysiological and neuropsychiatric disorders and may per...
The increasing complexity of fabrication and high transistor density is slowing down progress in integrated circuits. Simplified designs are now criti...
In the past, the development of vaccines and immunotherapeutics relied heavily on trial-and-error experimentation and extensive in vivo testing, oft...
We present SLICK, a novel framework for precise and robust car damage segmentation that leverages structural priors and domain knowledge to tackle r...
Ensuring the safety and extended operational life of fighter aircraft necessitates frequent and exhaustive inspections. While surface defect detecti...
Second-person neuroscience holds social cognition as embodied meaning co-regulation through reciprocal interaction, modeled here as coupled active i...
Sticking can significantly affect drug product quality, manufacturing efficiency, and therapeutic efficacy in pharmaceutical tablet manufacturing. Thi...
AI image processing techniques hold promise for clinical applications by enabling analysis of complex status information from cells. Importantly, real...
This position paper argues that post-deployment monitoring in clinical AI is underdeveloped and proposes statistically valid and label-efficient tes...