Researchers have used graphene to detect the SARS-CoV-2 virus in laboratory experiments. It could be a breakthrough in coronavirus detection, with potential applications in the fight against COVID-19 and its variants.
A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
Researchers have developed an approach to print tiny tissues that look and function almost like their full-sized counterpart.
VR enables scientists to create 3D models of an object to look around to better understand its structure and function.
Engineers have designed a novel sensor that can detect SARS-CoV-2 without any antibodies, giving a result within minutes.
Scientists have developed an algorithm for rapid, computerized diagnosis of COVID-19, overcoming the limitations of reverse transcription polymerase chain reaction.
A versatile composite fabric can deactivate both biological threats and chemical threats.
A new test method that detects SARS-CoV-2 in saliva has the same sensitivity as a qPCR test.
Data scientists have used deep learning to identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2.
Argonne, industry and academia collaborate to bring innovative AI and simulation tools to the COVID-19 battlefront.
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 produced a low-cost device to detect SARS-CoV-2 with biosensors.
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.
Engineers have designed a novel face mask that can diagnose the wearer with Covid-19 within about 90 minutes.
A new study could help scientists mitigate the future spread of zoonotic and livestock diseases caused by existing 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.
Scientists have been receiving help with vital coronavirus research from an unlikely team of data analysts—players of the popular online computer game EVE Online.
Researchers have developped a new coronavirus test, that can get accurate results from a saliva sample in less than 30 minutes.
Progressive Mechanoporation makes it possible to mechanically disrupt the membranes of cells for a short time period and let drugs or genes inside cells.
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.
Clinicians using a new viral screening test can not only diagnose Covid-19 in a matter of minutes with a portable, pocket-sized machine, but can also simultaneously test for other viruses.
In this third part of our ongoing series, we present eight additional systems that are currently being deployed to decontaminate and sanitize surfaces.
We spoke with Prof. Dominic Zerulla, whose company PEARlabs is developing an imaging technique that sets out to push the boundaries once more – by looking at in-vivo nano-scale processes in motion.
The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.
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.
How fast could SARS-CoV-2 be detected? Researchers have developed an accurate, high-speed, and portable detector for COVID-19.
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.
Engineers have developed a microneedle patch that can be applied to the skin, capture a biomarker of interest and, thanks to its unprecedented sensitivity, allow clinicians to detect its presence.
The new device can continuously sense levels of virtually any protein or molecule in the blood. The researchers say it could be transformative for disease detection, patient monitoring and biomedical research.
Scientists developed the world’s first mobile genome sequence analyzer, a new iPhone app called iGenomics.
An AI platform derives an optimal combination of available therapies against SARS-CoV-2 - the optimal drug therapy was a combination of the drugs remdesivir, ritonavir, and lopinavir at specific doses.
Researchers have developed a rapid, ultrasensitive test using a paper-based electrochemical sensor that can detect the presence of the virus in less than five minutes.
Researchers have examined how mobile technologies have been used in monitoring and mitigating the effects of the Covid-19 pandemic.
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.
COMPAMED 2020 took place entirely online due to the pandemic - but still won over their audiences due to their high degree of international resonance in this format too.
Scientists have demonstrated a VR technique which should help in developing drugs against the SARS-CoV-2 virus – and enable researchers to share models and collaborate in new ways.
Scientists develop a label-free method for identifying respiratory viruses based on changes in electrical current when they pass through silicon nanopores.
Researchers have created a deep learning model for drug developers targeting the SARS-CoV-2 main protease.
Scientists have developed an extremely rapid diagnostic test that detects and identifies viruses in less than five minutes.
Rapid detection of the SARS-CoV-2 virus, in about 30 seconds following the test, has had successful preliminary results.
As COVID-19 quickly spread worldwide at the beginning of the year, an urgent need has risen worldwide for specialized health and medical products such as the nasal swabs to collect viral samples or PPE.
Researchers have built a low-cost multiplex test that can rapidly provide three different types of data on COVID-19.
Researchers havee repurposed robotic technology normally used for synthetic biology research to help with testing for COVID-19.
Research from the University of Plymouth suggests that robot pets could pose an infection risk if passed between staff and service users without cleaning.
Researchers have printed the first biologically correct 3D model of the SARS-CoV-2 virus.
Using specialized nanoparticles, engineers have developed a way to monitor pneumonia or other lung diseases by analyzing the breath exhaled by the patient.
Researchers have developed a total of three swab designs that are comparable to the current ‘gold standard’ swabs.
Scientists have assembled a combination of data mining, machine-learning algorithms and compression-based analytics to bring the most useful data to the fore on an office computer.
Surfaces contaminated with SARS-CoV-2 pose a grave threat to the safety of staff and patients. To minimize the risks for their staff, hospitals are utilizing disinfection robots to sanitize surfaces.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
Researchers have developed a wearable, non invasive Vitamin C sensor that could provide a new, highly personalized option for users to track their daily nutritional intake and dietary adherence.
Researchers have created a textile coating that can not only repel liquids like blood and saliva but can also prevent viruses from adhering to the surface.
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
Scientists plan to use high-tech biometric sensors for 24-hour monitoring of COVID-19 patients in home isolation.
Researchers have developed a novel sensor for detecting the new coronavirus. In future it could be used to measure the concentration of the virus in the environment.
Scientists are creating from scratch a diagnostic lab with the capability to process more than 1,000 patient samples per day.
