Research

Significant Disparities in Telemedicine Use, Especially Among Older and Non-White Patients

After "COVID-19," the term that most people will remember best from 2020 is likely to be "social distancing." While it most commonly applied to social gatherings with family and friends, it has impacted the way many receive medical care. Historically, the United States has been relatively slow to broadly adopt telemedicine, largely emphasizing in-person visits.

Model Used to Evaluate Lockdowns was Flawed

In a recent study, researchers from Imperial College London developed a model to assess the effect of different measures used to curb the spread of the coronavirus. However, the model had fundamental shortcomings and cannot be used to draw the published conclusions, claim Swedish researchers from Lund University, and other institutions, in the journal Nature.

Study Details First Artificial Intelligence Tool to Help Labs Rule-out COVID-19

Hospital-based laboratories and doctors at the front line of the COVID-19 pandemic might soon add artificial intelligence to their testing toolkit. A recent study conducted with collaborators from the University of Vermont and Cedars-Sinai describes the performance of Biocogniv's new AI-COVID™ software. The team found high accuracy in predicting the probability of COVID-19 infection using routine blood tests, which can help hospitals reduce the number of patients referred for scarce PCR testing.

Free Online Tool Helps Determine Whether a Patient will Need a Ventilator or ICU Care

University of California, Irvine health sciences researchers have created a machine-learning model to predict the probability that a COVID-19 patient will need a ventilator or ICU care. The tool is free and available online for any healthcare organization to use.

"The goal is to give an earlier alert to clinicians to identify patients who may be vulnerable at the onset," said Daniel S. Chow, an assistant professor in residence in radiological sciences and first author of the study, published in PLOS ONE.

Development of High-Speed nanoPCR Technology for Point-of-Care Diagnosis of COVID-19

A "nanoPCR" technology was developed for the point-of-care (POC) diagnosis of coronavirus disease-19 (COVID-19). This new technology can diagnose the infection within ~20 minutes while retaining the accuracy of conventional reverse transcription polymerase chain reaction (RT-PCR) technology.

Researchers Adapt Cell Phone Camera for SARS-CoV-2 Detection

Researchers have developed an assay that can detect the presence of SARS-CoV-2 in a nasal swab using a device attached to an ordinary smartphone, they report in the journal Cell. Although more research is needed before such a test can be rolled out, the results are promising and ultimately may be applicable to screening more broadly for other viruses.

New Lab-on-a-Chip Infection Test could Provide Cheaper, Faster Portable Diagnostics

The chip, developed at Imperial College London and known as TriSilix, is a 'micro laboratory' which performs a miniature version of the polymerase chain reaction (PCR) on the spot. PCR is the gold-standard test for detecting viruses and bacteria in biological samples such as bodily fluids, faeces, or environmental samples.

Research News

Significant Disparities in Telemedicine Use, Especially Among Older and Non-White Patients

Model Used to Evaluate Lockdowns was Flawed

Study Details First Artificial Intelligence Tool to Help Labs Rule-out COVID-19

Free Online Tool Helps Determine Whether a Patient will Need a Ventilator or ICU Care

Development of High-Speed nanoPCR Technology for Point-of-Care Diagnosis of COVID-19

Researchers Adapt Cell Phone Camera for SARS-CoV-2 Detection

New Lab-on-a-Chip Infection Test could Provide Cheaper, Faster Portable Diagnostics

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