Anti-CRISPR proteins could bolster biosecurity and improve medical treatments
Scientists used computer algorithms to develop a programmable organism made of frog DNA
Over the next decade artificial intelligence is likely to transform the biomedical world. Deep-learning algorithms could aid in developing new drugs, interpreting medical images, cleaning up electronic patient charts, and more...
After false starts, drugs that manipulate the code of life are finally changing lives
One year after the world learned of He Jiankui’s editing of twins, gaps in rules remain
As the first clinical trial results trickle in, researchers look ahead to more sophisticated medical applications for genome editing
DNA-based medicine needs more diversity to avoid harmful bias. One big research project is fixing that
The software detected cancers at higher rates than radiologists, with fewer false positives
AI systems are not as rigorously tested as other medical devices, and have already made serious mistakes
The technology embeds immunization records into a child’s skin
As the number of precision medicines grows, so does the challenge of assuring their quality. Solutions are waiting in the wings.
Amid privacy concerns, the tech giant plans to monitor mobility, menstruation and hearing via users’ Apple watches and iPhones
Japan has turned regenerative medicine into a regulatory free-for-all. Patients across the world could pay the price
A common gene-editing enzyme could be used to disable RNA viruses such as flu or Ebola
As the country seeks to become a research powerhouse, it must rectify worrisome practices
Research into molecular biomarkers is quickly moving from the lab to the clinic. It promises to transform how doctors diagnose and treat disease.
Gene transcription is one of life’s most fundamental processes. For the first time, researchers have viewed it in real time in a living cell.
To avoid stagnated growth and labor shortfalls, the U.S. must rethink its approach now
What can our genes tell us about which diet will work best for us?
You can find good information, but there's a lot more bad