
AI identifies drug combinations to fight COVID-19
Data scientists have used deep learning to identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2.
Data scientists have used deep learning to identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2.
A new approach to tackling the spread of malaria in sub-Saharan Africa, which combines affordable, easy-to-administer blood tests with machine learning and unbreakable encryption, has generated encouraging early results in Uganda.
New technology could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries.
The robot scientist Eve has been assembled and is now operating at Chalmers University of Technology. Eve’s first mission is to identify and test drugs against Covid-19.
COVID-19 can be diagnosed in 55 minutes or less with the help of programmed magnetic nanobeads and a diagnostic tool that plugs into an off-the-shelf cellphone.
Researchers at Rice University have developed a microneedle patch that can rapidly detect the presence of malaria in interstitial fluid.
Researchers have developed a new way to power and communicate with devices implanted deep within the human body.
Using machine learning, a prototype microscope teaches itself the best illumination settings for diagnosing malaria.
Using a game, researchers are rehabilitating children who suffer from cognitive impairment after surviving life-threatening diseases such as malaria and HIV.
Electronic pill can relay diagnostic information or release drugs in response to smartphone commands.