A new study could help scientists mitigate the future spread of zoonotic and livestock diseases caused by existing viruses.
Scientists have captured the real-time electrical activity of a beating heart, using a sheet of graphene to record an optical image of the faint electric fields generated by the rhythmic firing of the heart's muscle cells.
Researchers used an artificial intelligence (AI) algorithm to sift through terabytes of gene expression data to look for shared patterns in patients with past pandemic viral infections, including SARS, MERS and swine flu.
The University of Texas at San Antonio has established a wearables and AI laboratory to provide precision treatment plans to improve learning among those diagnosed with autism spectrum disorder (ASD).
Progressive Mechanoporation makes it possible to mechanically disrupt the membranes of cells for a short time period and let drugs or genes inside cells.
Researchers have developed a novel skin-mounted sticker that absorbs sweat and then changes color to provide an accurate, easy-to-read diagnosis of cystic fibrosis within minutes.
Researchers have designed a cellular device capable of detecting and processing biological signals outside the laboratory.
Researchers have shown that lab-created heart valves implanted in young lambs for a year were capable of growth within the recipient.
Using AI and mobile digital microscopy, researchers hope to create screening tools that can detect precursors to cervical cancer in women in resource-limited settings.
Researchers at the Indian Institute of Science and SigTuple Technologies have developed a method to measure hemoglobin levels in small-volume blood samples.
AI is helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.
Scientists have created a new way to detect the proteins that make up the pandemic coronavirus, as well as antibodies against it.
Researchers have used lasers and molecular tethers to create perfectly patterned platforms for tissue engineering.
Professor Dr Peter Pott and his team turn to 3D printers to successfully realize his vision of “high end at low cost” medical devices.