Researchers have developed a new method to prevent bacterial infections, by covering a graphene-based material with bactericidal molecules.
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.
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.
Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within four days.
Researchers have created polymers that replicate the structure of mucins, the molecules that give mucus its unique antimicrobial properties.
Researchers have fabricated 3D scaffold implants containing antibiotics at high temperatures. These scaffolds support bone regeneration and manage the bone infections.
The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.
Scientists have created a new way to detect the proteins that make up the pandemic coronavirus, as well as antibodies against it.
The following seven robotic systems are either currently being deployed or developed for the fight against the coronavirus.
Scientists have developed a next generation wound dressing that can detect infection and improve healing in burns, skin grafts and chronic wounds.