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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Xsensio has been awarded CHF 1.8 million in EU funding to adapt its Lab-on-Skin sensing patches so that they can detect when a viral illness like the flu or COVID-19 is about to get worse.
Research found that chatbots working for reputable organizations can ease the burden on medical providers and offer trusted guidance to those with symptoms.
A new app that helps patients in self-isolation monitor for symptoms of COVID-19 and identify their mental health needs has been developed.
Scientists have developed an experimental diagnostic test for COVID-19 that can visually detect the presence of the virus in 10 minutes.
A robot is helping maximize the life of some of the most critical personal protective equipment, or PPE, at a time when the surge of demand for such items has aggravated a national shortage.
Thai hospitals are deploying "ninja robots" to measure fevers and protect the health of overburdened medical workers on the frontlines of the outbreak.
A coronavirus app coupled with machine intelligence will soon enable an individual to get an at-home risk assessment based on how they feel and where they've been in about a minute.
Researchers have built a low-cost multiplex test that can rapidly provide three different types of data on COVID-19.
Researchers make the case that Artificial Intelligence tools have the potential to help researchers separate the wheat from the chaff.
Researchers havee repurposed robotic technology normally used for synthetic biology research to help with testing for COVID-19.
AI is playing a key role in the Covid-19 response, but it could also be exacerbating inequalities within our health systems – a critical concern that is dragging the technology’s limitations back into the spotlight.
The development of new medical technologies based on cutting-edge discoveries has accelerated during the coronavirus pandemic.
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 developed a technique based on self-learning algorithms that improves the performance of the controller by a factor ten.
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 caution that consumer wearables are not sophisticated enough to monitor the complicated illness.
Researchers found that a game could help scientists understand how second language learners learn a new language, and could even help them learn it faster.
Researchers show chatbots could play a key role in helping people with issues around their health and wellbeing.
Newer concepts like edge computing are regularly discussed alongside the cloud within the healthcare sector, often as if they are each exclusive approaches to infrastructure. However, using one does not eradicate the ability to utilise the other.
Researchers are collaborating with local partners to establish a network of portable, handheld ultrasound scanners that can soon accelerate COVID-19 diagnosis.
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an AI diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms.
Radiologists are investigating people's medical conditions and pregnancies remotely thanks to an ESA-backed robotic technology.
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
3D printing fuels efforts to rapidly increase ventilator capacity while providing each patient on vent support with individually tailored gas pressures and pressure monitoring.
An AI tool to help funders identify specialists to peer-review proposals for emergency COVID-19 research has been developed.
Researchers are developing a new high-precision radiology system for coronavirus pulmonary involvement.
In order for a COVID-19 vaccine and antiviral drugs to be developed, scientists first need to understand why this virus spreads so easily and quickly, and why it invades our bodies with seemingly little resistance from our immune system.
A research study seeks volunteers to provide data from smartphones, smartwatches and health surveys to help detect COVID-19.
A robotic testing platform developed in just nine days by dementia researchers could substantially increase the UK’s capacity to test people for coronavirus.
Researchers have developed a new approach to early diagnosis of lung cancer: a urine test that can detect the presence of proteins linked to the disease.
A ‘pandemic drone’ to remotely monitor and detect people with infectious respiratory conditions is being developed.
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.