Latest AI and machine learning research in fda general for healthcare professionals.
While neutralizing ability has traditionally been considered the most important antibody function, a...
Deep neural networks can be trained to predict gene expression directly from genomic sequence, there...
Late-stage failures of monoclonal antibody (mAb) programs often reflect developability liabilities, ...
Ion channels are central to regulating neuronal communication, cardiac rhythm, and muscle contractio...
We present an AI-assisted pipeline for disease-specific drug landscape analysis. Given a disease nam...
Single-cell RNA sequencing (scRNA-seq) enables high-resolution profiling of cellular diversity, but ...
Characterizing tissue-specific (TSp) gene expression is crucial for understanding development and di...
Programmable control of gene expression in specific cell types is essential for both basic discovery...
Cereal grains are fundamental to global food security and bioenergy production, yet the genetic and ...
Adults and children with cerebral cavernous malformations (CCMs) are at risk of experiencing lifelon...
Propofol is a widely used sedative-hypnotic agent for critically-ill patients requiring invasive mec...
The routine derivation of novel biomarkers from therapeutic clinical trials to accurately predict in...
Fatigue is commonly identified by IBD patients as major issue that affects their wellbeing. This pre...
The rapid adoption of artificial intelligence (AI) raises challenges related to ethics, safety, equi...
The recent proliferation of AI-enabled medical devices and the growing emphasis on clinical translat...
Considering numerous radiological images and the heavy workload of writing corresponding reports in ...
Despite CBT’s status as a first-line treatment, a substantial proportion of patients does not experi...
The integration of artificial intelligence (AI) has revolutionized medical research, offering innova...
Electronic Health Records (EHRs) sampled from different populations can introduce unwanted bi-ases, ...
Incomplete reporting of a study’s methods and results hinders efforts to evaluate and reproduce rese...
Pediatric trials are ethically and logistically difficult, so the U.S. FDA often extrapolates adult ...