Generalizing Genomics Learning
A new NIH network aims to remove barriers and share knowledge to drive more widespread adoption of genomics in clinical settings
A new NIH network aims to remove barriers and share knowledge to drive more widespread adoption of genomics in clinical settings
Polygenic risk scores may offer new screening and risk stratification options for cardiovascular disease—but how valuable are they?
Artificial intelligence models have a valuable role to play in each phase of the total testing process.
Genomic epidemiology can provide insights into pathogen transmission and evolution—and facilitate better countermeasures against infectious disease.
Juan Antonio Retamero, MD, shares his thoughts on recent trends in AI and digital pathology, and how they may progress.
Artificial intelligence won’t take your job—but what are the real concerns around healthcare AI and its use?
AI is an increasingly useful tool in pathology—but its full value can only be realized in collaboration with human experts.
Genomic sequencing is almost twice as likely to yield a diagnostic result, but lags behind panel testing in speed, cost, and concordance.
A new five-metabolite blood test designed by algorithm could simplify and speed up this challenging diagnosis.
Protein levels in the vitreous humor may have the potential to support the diagnosis and staging of neurodegenerative diseases.
A simple blood test may help screen, identify, intervene, treat, monitor, and eventually, prevent PTSD.