Latest AI and machine learning research in fda general for healthcare professionals.
Macromolecular crystallography provides mechanistic understanding of biological processes and can be applied in drug design. Nowadays, the use of robotic systems for crystal growth and diffraction analysis is widespread and high-throughput protein-to-structure pipelines for ligand and fragment screening are revolutionizing the field. However, the identification of crystals is still largely carried...
Reliable biomarkers that enable noninvasive, longitudinal assessment of disease activity and therapeutic response remain a major unmet need in inflammatory bowel disease (IBD). While colonic biopsies are the gold standard for evaluating mucosal inflammation, their invasive nature and limited spatial and temporal resolution constrain their utility in routine monitoring and clinical trials. Blood-ba...
Sorbin and SH3 Domain Containing 2 (SORBS2), a multifunctional scaffold protein harbouring Sorbin homology (SoHo) and Src homology 3 (SH3) domains, se...
Continuous glucose monitoring (CGM) has markedly advanced diabetes care by enabling real-time visualization of glycaemic variability, prevention of hy...
The study addresses the increasing resistance to the FDA-approved drug Bedaquiline (BDQ) in Mycobacterium tuberculosis (MTB). The absence of any defin...
Over the past two decades, experimental and clinical evidence has established the interleukin-23 (IL-23)/interleukin-17 (IL-17) axis as a key mediator...
Autophagy is a self-digestive process in which cellular components are degraded and recycled to maintain homeostasis and cope with stress. When cells ...
The upregulation of interleukin-1 receptor-associated kinase 4 (IRAK4) drives pro-tumorigenic signaling across various malignancies. Currently availab...
The present manuscript provides a comprehensive overview of neural stem cell (NSC)-derived extracellular vesicles (NSC-EVs( as a cell-free approach to...
Zippers are essential in fashion and beyond. Found on jackets, shoes, and bags, they provide a versatile and practical opening and closing mechanism t...
BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantification of tissue perfusion, and metabolism. This stud...
BACKGROUND: Empathy relies on distinct but interacting processes for representing others' states and regulating self-oriented affect. Neuroimaging stu...
Paediatric oncology relies heavily on medical imaging for diagnosis, treatment planning, and longitudinal disease monitoring. Yet the field faces uniq...
Understanding gene regulation is fundamental to plant improvement. However, the lack of plant-specific single-cell assay for transposase-accessible ch...
The generation of transcript variants via alternative utilisation of transcription start sites (TSSs) is a pivotal regulatory mechanism in physiologic...
Cytopathology is the first field of pathology in which artificial intelligence (AI) models were successfully developed and commercialized for routine ...
Although computer vision approaches based on machine learning (ML) and deep learning (DL) have been applied to image-based food quality analysis, they...
In the context of globalized food production, traceability is a key requirement in the fisheries sector, particularly for prepared and packaged fish p...
AI is reshaping medical research and healthcare delivery, yet the translation of AI innovations into clinically approved medical devices remains limit...
INTRODUCTION: Dementia imposes significant care and financial burdens on families and countries globally. While high-quality home-based care is crucia...