Latest AI and machine learning research in fda general for healthcare professionals.
BACKGROUND: Artificial intelligence (AI)-based models have shown initial promise in imaging brain metastasis; however many lack validation against advanced imaging-informed datasets, precluding external validity and limiting widespread adoption. To overcome these limitations, we performed comprehensive performance testing against reference standard metrics and externally validated an AI algorithm....
INTRODUCTION: Often used interchangeably with 'additive manufacturing,' 3D printing involves creating a three-dimensional (3D) object from a digital model, by building successive layers of raw material.By adding material to only where it is needed, 3D printing has the potential to save considerable resources compared to 'subtractive manufacturing' which involves removing the excessive materials to...
As demands for food quality, safety, traceability, and sustainability increase, traditional packaging systems face challenges in power supply, informa...
RATIONALE: Resource-limited or austere environments represent a direct threat to the likelihood of survival of patients in need of emergent care. Medi...
PURPOSE: The SMART (Stereotactic MR-Guided Adaptive Radiation Therapy) protocol for prostate SBRT has demonstrated favorable clinical outcomes using a...
Adverse drug reactions (ADRs) are a major concern for public health and patient safety and a burden in drug discovery, with drug-induced liver injury ...
Clinical documentation is essential for safe and effective patient care but places a substantial clerical burden on doctors, particularly those early ...
Drug development productivity has not improved despite five decades of computational advancement, with the probability that a compound entering Phase ...
Neonates represent one of the most pharmacologically vulnerable patient populations, yet they remain systematically underrepresented in clinical drug ...
Deep neural networks can be trained to predict gene expression directly from genomic sequence, thereby implicitly learning regulatory sequence pattern...
OBJECTIVE: The Grading of Recommendations Assessment, Development and Evaluation (GRADE) Working Group is developing GRADErater (GRADE Rating Automati...
Accurate and clinically reliable meningioma detection from brain MRI remains a critical challenge, requiring not only high predictive performance but ...
Vibrio cholerae thrives at the interface between the aquatic environment and the human host dynamically through integration of environmental signals t...
INTRODUCTION: Neurological illnesses continue to be a major global health challenge and require novel and safe therapeutic strategies. Blue foods like...
Transfusion medicine has practiced a form of precision medicine for decades through compatibility testing, infectious disease screening, component man...
Epigenetic regulation refers to heritable changes in gene expression without altering the DNA sequence. It mainly includes DNA methylation, histone mo...
A rapid, sensitive, and selective LC-MSMS method was developed and validated for the quantification of dextromethorphan (DXM), pseudoephedrine (PSE), ...
BACKGROUND: Bacterial transcription termination is a critical yet underexplored layer of gene regulation in microbial ecosystems. Existing computation...
Medicinal plants are a valuable reservoir of diverse secondary metabolites (SMs), which serve as essential sources for natural drug development. Howev...
The detection of subsurface defects has increasingly benefited from the integration of machine learning techniques, particularly in data-driven inspec...