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.
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A new robotic system allows medical staff to remotely operate ventilators and other bedside machines from outside intensive care rooms of patients suffering from infectious diseases.
Researchers have improved an electronic sensor for fast detection of infectious diseases like COVID-19.
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.
Researchers have produced a low-cost device to detect SARS-CoV-2 with biosensors.
With a ‘liquid assembly line,’ researchers produce mRNA-delivering-nanoparticles a hundred times faster than standard microfluidic technologies.
A new study could help scientists mitigate the future spread of zoonotic and livestock diseases caused by existing viruses.
New research on Olfactory Virtual Reality (OVR) paints a clearer picture for clinical psychiatrists about how it could be used to safely and effectively help mental health and mood disorders.
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.
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.
Can a robot draw a response simply by making “eye” contact, even with people who are less inclined to speak up. A recent study suggests that it can.
Scientists have designed a portable 3D imaging device which will improve the treatment and diagnosis of cancer.
The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.
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.
The patch, which can be folded around surgical tools, may someday be used in robotic surgery to repair tissues and organs.
Researchers have developed an “organs-on-a-chip” system that replicates interactions between the brain, liver, and colon.
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.
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 examined how mobile technologies have been used in monitoring and mitigating the effects of the Covid-19 pandemic.
Robots may have some of these soft skills thought to be vital for successful leadership as they enable leaders to motivate, unite and inspire their employees.
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.
Researchers have built a low-cost multiplex test that can rapidly provide three different types of data on COVID-19.
Researchers have developed an robotic system to enhance the safety and efficacy of endoscopic submucosal dissection (ESD) for the treatment of gastrointestinal cancer.
Researchers havee repurposed robotic technology normally used for synthetic biology research to help with testing for COVID-19.
Loss of strength and muscle wastage is currently an unavoidable part of getting older and has a significant impact on health and quality of life.
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
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.
Researchers have developed a machine learning model that can predict chemotherapy-associated nephrotoxicity.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
An anaesthesia team used 3D printing and virtual reality to produce an exact model of the airway of a 7-year-old girl in order to prepare properly for an operation to remove part of her lung.
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
A portable surveillance device powered by machine learning can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses trends.
A simple innovation the size of a grain of sand means we can now analyse cells and tiny particles as if they were inside the human body.
A robotics company has launched the world's first medically certified 3D printed artificial arms for amputees.