Coronavirus research requires high-containment labs. Journalist Elisabeth Eaves talks with Scientific American contributing editor W. Wayt Gibbs about her article “The Risks of Building Too Many Bio Labs,” a joint project of the New Yorker and the Bulletin of the Atomic Scientists ...
In mice, these white blood cells tamp down inflammation in the lungs
Testing kits delivered by courier and digital tools combine to battle the COVID-19 outbreak
The experiment tests a gene-editing therapy for a hereditary blindness disorder
Making changes to the molecular messengers that create proteins might offer flexible therapies for cancer, pain or high cholesterol, in addition to genetic disorders
Successfully applying AI to biomedicine requires innovators trained in contrasting cultures
The pharmaceutical industry is in a drug-discovery slump. How much can AI help?
Deep-learning algorithms are peering into MRIs and x-rays with unmatched vision, but who is to blame when they make a mistake?
By channeling a flood of biomedical data, machine learning could transform basic research and clinical practice
Digitization of patient charts was supposed to revolutionize medical practice. Artificial intelligence could help unlock its potential
The team plans to share the virus with groups around the world to spur development of diagnostics and vaccines
Tools used to reconstruct the rise of drug-resistant tuberculosis could also be applied in real time to ward off would-be epidemics
One year after the world learned of He Jiankui’s editing of twins, gaps in rules remain
Studying gene expression in human brain tissue grown in the lab could offer insight into disorders such as autism
Eight years of experiments demonstrate the bridging of large gaps in damaged nerves
Anti-CRISPR proteins could bolster biosecurity and improve medical treatments
Scientists used computer algorithms to develop a programmable organism made of frog DNA
