The NIH has announced their strategic plan for data science for the next 5 years, and their intention to hire their first Chief Data Strategist to oversee and implement their goals.
As the volume and depth of genomic data grows, bioinformaticians are translating genomic data into interpretable patterns leading to new biological insight.
People’s medical and health history might become more than just a blueprint for doctor’s actions, now that blockchain start-up Nebula Genomics, and Hong Kong-based Longenesis are partnering up.
Researchers have devised a magnetic control system to make tiny DNA-based robots move on demand, and much faster than recently possible.
A team of researchers has unveiled a novel statistical algorithm, capable of identifying potential disease genes in a more accurate and cost-effective way.
Researchers at Oregon State University have developed a great new RNA annotation tool.
Most people don’t like going to the doctor. That’s why Theodoros Zanos, a researcher at The Feinstein Institute for Medical Research, is working on a technology that might one day be able to listen to, and decode the body’s electrical signals, catching warning signs of illness.
Much of medicine is about information — the data that helps doctors make the right choices about our treatment. So how will the revolution in big data impact complex healthcare systems like the NHS?
SOPHiA GENETICS, has announced that its technology for clinical genomics has reached a key milestone in helping better diagnose 200’000 patients. Already deployed in over 430 hospitals across 60 countries SOPHiA analyses today 1 patient every 5 minutes.
Deep learning computers in a diagnostic imaging lab routinely defeat their human counterparts in diagnosing heart failure, detecting various cancers and predicting their strength.
Less than half the patients diagnosed with cancer respond favourably to chemotherapy. Now, a new method for testing how patients will respond to various drugs could pave the way for more personalised treatment.