
Antibiotic levels measured in breath
Researchers have shown in mammals that the concentration of antibiotics in the body can be determined using breath samples.
Researchers have shown in mammals that the concentration of antibiotics in the body can be determined using breath samples.
Realistic mini-lungs, grown in lab dishes, feature all cell types that make up the human organ, allowing for “Phase 0” testing of new treatments for respiratory diseases.
Researchers have developed a new method to prevent bacterial infections, by covering a graphene-based material with bactericidal molecules.
Engineers have designed a device that can detect SARS-CoV-2 from a saliva sample in about an hour. They showed that the diagnostic is just as accurate as the PCR tests now used.
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 have designed a miniaturized 3D-printed device to inactivate Pseudomonas aeruginosa, a common bacterium that causes the infection.
Researchers have developed smart wound dressings with built-in nanosensors that glow to alert patients when a wound is not healing properly.
Using fluoresence images from live cells, researchers have trained an artificial neural network to reliably recognize cells that are infected by adenoviruses or herpes viruses.
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.
Researchers are developing a microneedle patch that delivers antibiotics directly into the affected skin area.
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 developed a specially designed hydrogel that works against all types of bacteria, including antibiotic-resistant ones.
Researchers have investigated how machine learning can be used to find effective testing methods during epidemic outbreaks, thereby helping to better control the outbreaks.
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.
In this third part of our ongoing series, we present eight additional systems that are currently being deployed to decontaminate and sanitize surfaces.
According to researchers at Indiana University, digital twins could lead to more proactive and personalized medicine.
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.
How fast could SARS-CoV-2 be detected? Researchers have developed an accurate, high-speed, and portable detector for COVID-19.
By embedding nanosensors in the fibers of a bandage, researchers have created a continuous, noninvasive way to detect and monitor an infection in a wound.
Researchers are developing a color-changing test strip that can be stuck on a mask and used to detect SARS-CoV-2 in a user’s breath or saliva.
Researchers have developed an automated way to design customized hardware, or “brains,” that speeds up a robot’s operation.
The following seven robotic systems are either currently being deployed or developed for the fight against the coronavirus.
A tiny new silicon-based lab-on-chip test could pave the way for cheap handheld infectious disease testing.
The quantum sensing abilities of nanodiamonds can be used to improve the sensitivity of paper-based diagnostic tests, potentially allowing for earlier detection of diseases such as HIV.
Scientists develop a label-free method for identifying respiratory viruses based on changes in electrical current when they pass through silicon nanopores.
Researchers at Rice University have developed a microneedle patch that can rapidly detect the presence of malaria in interstitial fluid.
Researchers have developed an AI-powered forecasting tool for predicting influenza outbreaks.