
Interactive VR tool for drug design against COVID-19
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 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 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 plan to use high-tech biometric sensors for 24-hour monitoring of COVID-19 patients in home isolation.
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 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 have developed an approach to print tiny tissues that look and function almost like their full-sized counterpart.
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 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.
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.