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Siemens Healthineers Now Shipping Worldwide Total Antibody Test and Molecular Test Kit for COVID-19 with Expanded Capacity

Siemens Healthineers announced that it is now shipping worldwide its laboratory-based total antibody test(1) to detect the presence of SARS-CoV-2 IgM and IgG antibodies in blood. The test received the CE mark and data has demonstrated 100 percent sensitivity(2) and 99.8 percent specificity.

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Digital Contact Tracing for COVID-19: An Analysis of Strengths and Limitations

An article in CMAJ (Canadian Medical Association Journal) analyzes the strengths and limitations of digital contact tracing for people infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to help governments decide if and how they might adopt this technology.

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Philips Launches Next Generation Wearable Biosensor for Early Patient Deterioration Detection, Including Clinical Surveillance for COVID-19

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced it has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its wearable biosensor (Philips Biosensor BX100) to help manage confirmed and suspected COVID-19 patients in the hospital.

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Telehealth Tools Developed for Ebola Improve COVID-19 Care

Telemedicine tools developed at UVA Health to battle Ebola have huge potential in the fight against COVID-19, UVA experts report in a new scientific paper. The tools, they say, allow doctors to provide personal, high-quality care while conserving vital personal protective equipment and reducing infection risks.

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Statistical Approach to COVID-19 Clinical Trials Aims to Accelerate Drug Approval Process

In response to the COVID-19 pandemic, researchers from the Massachusetts Institute of Technology have published a pair of studies in a COVID-19 special issue of the Harvard Data Science Review, freely available via open access, describing new methods for accelerating drug approvals during pandemics and for providing more accurate measures of the probabilities of success for clinical trials of vaccines and other anti-infective therapies.

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Allscripts U.K. Client Gloucestershire Hospitals Achieves Successful Go-Live with E-Observations Solution Amidst COVID-19 Pandemic

Gloucestershire Hospitals NHS Foundation Trust, located in the United Kingdom, has successfully gone live with the latest addition to its Allscripts electronic health record, despite the ongoing novel coronavirus outbreak.

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Philips Launches HealthSuite Clinical Trial Accelerator to Help Life Science Organizations Run More Flexible, Patient-Centric Clinical Trials

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced Clinical Trial Accelerator on Philips HealthSuite. This new tailored set of capabilities allows life science organizations to integrate, analyze and store clinical and patient-reported data from multiple sources, providing actionable insights for better, faster decision-making.

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Accurate Mapping of Human Travel Patterns with Global Smartphone Data

Understanding people's short- and long-distance travel patterns can inform economic development, urban planning, and responses to natural disasters, wars and conflicts, disease outbreaks like the COVID-19 pandemic, and more. A new global mapping method, developed by scientists from Boston Children's Hospital and the University of Oxford, provides global estimates of human mobility at much greater resolution than was possible before.

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High Five! It's Possible to Create Proximity Online

Despite physical distance, it's possible to create proximity between family members located in different places. This is according to a study from Linköping University that has investigated how video calls bring family members together. The results show that proximity in video calls is established mainly by way of the body and the senses, e.g. by giving a digital high five.

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New AI Diagnostic can Predict COVID-19 without Testing

Researchers at King's College London, Massachusetts General Hospital and health science company ZOE have developed an artificial intelligence diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms. Their findings are published today in Nature Medicine.

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