Development

Anonymized Cell Phone Location Data can Help Monitor COVID-19 Growth Rates

In March 2020, federal officials declared the COVID-19 outbreak a national emergency. Around the same time, most states implemented stay-at-home advisories - to different degrees and at different times. Publicly available cell phone location data - anonymized at the county-level - showed marked reductions in cell phone activity at the workplace and at retail locations, as well as increased activity in residential areas. However, it was not known whether these data correlate with the spread of COVID-19 in a given region.

C3-Cloud: the Digital Coordinated Care Platform of the Future

Typically, when a patient is receiving care from GPs and Hospitals, these are normally uncoordinated and the patient is often presented with conflicting advice, or clinicians are required to assess patients without access to all of the patient's relevant history, often making care fragmented and inefficient, particularly for an ageing population who may have multiple conditions and need care from multiple specialists and stakeholders.

73,000 Scientists Collaborate over New COVID-19 Data Portal to Speed up Vaccine Development

More than 73,000 users collaborate on new online platform set up by the European Open Science Cloud Initiative, where scientists share COVID-19 data and accelerate our understanding of the virus to help develop treatments and vaccines quicker.

A new website that allows scientists to share difficult-to-find SARS-CoV-2 data from clinical trials, research centres, hospitals and national healthcare systems, has seen thousands of users collaborating to help beat the novel coronavirus.

Smartphones may Help Detect Diabetes

Researchers at UC San Francisco have developed a "digital biomarker" that would use a smartphone's built-in camera to detect Type 2 diabetes - one of the world's top causes of disease and death - potentially providing a low-cost, in-home alternative to blood draws and clinic-based screening tools.

The Role of Mobile Health Technology in COVID-19 Pandemic

An international task force, including two University of Massachusetts Amherst computer scientists, concludes in new research that mobile health (mHealth) technologies are a viable option to monitor COVID-19 patients at home and predict which ones will need medical intervention.

Scientists Identify Hundreds of Drug Candidates to Treat COVID-19

Scientists at the University of California, Riverside, have used machine learning to identify hundreds of new potential drugs that could help treat COVID-19, the disease caused by the novel coronavirus, or SARS-CoV-2.

"There is an urgent need to identify effective drugs that treat or prevent COVID-19," said Anandasankar Ray, a professor of molecular, cell, and systems biology who led the research.

Smartwatch Tracks Medication Levels to Personalize Treatments

Engineers at the UCLA Samueli School of Engineering and their colleagues at Stanford School of Medicine have demonstrated that drug levels inside the body can be tracked in real time using a custom smartwatch that analyzes the chemicals found in sweat. This wearable technology could be incorporated into a more personalized approach to medicine - where an ideal drug and dosages can be tailored to an individual.

Research and Development News

Anonymized Cell Phone Location Data can Help Monitor COVID-19 Growth Rates

C3-Cloud: the Digital Coordinated Care Platform of the Future

73,000 Scientists Collaborate over New COVID-19 Data Portal to Speed up Vaccine Development

Smartphones may Help Detect Diabetes

The Role of Mobile Health Technology in COVID-19 Pandemic

Scientists Identify Hundreds of Drug Candidates to Treat COVID-19

Smartwatch Tracks Medication Levels to Personalize Treatments

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