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 game devised to make players better at spotting fake news and misinformation, has the intended effect in Sweden, Greece, Germany and Poland.
Are virtual reality headsets a means to decrease fear and pain associated with immunizations in pediatric patients?
Scientists have developed a new generation of microneedles technology which allows the intradermal delivery of living cells in a minimally invasive manner.
Using AI and mobile digital microscopy, researchers hope to create screening tools that can detect precursors to cervical cancer in women in resource-limited settings.
Researchers have developed a biobattery-powered device capable of both delivering large molecule pharmaceuticals across the skin barrier and extracting interstitial fluid for diagnostic purposes.
The supplier sector will showcase its expertise and innovative high-tech solutions for the medical technology industry.
Researchers make the case that Artificial Intelligence tools have the potential to help researchers separate the wheat from the chaff.
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.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
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.
Researchers used a skin cream infused with microscopic particles, named STAR particles, for therapy of Skin diseases
Researchers at the University of California San Diego develop a new non-touch technology that rapidly identifies infants and children.
Scientists have developed machine learning algorithms that can predict yeast metabolism from its protein content.