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Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Image: An automated imaging system help treat neonatal jaundice (Photo courtesy of UNISA)

New Imaging Software Accurately Diagnoses Jaundice

A new study reveals how a computerized platform can automatically diagnose jaundice in newborns and turn on a blue light to counteract it. More...
29 Nov 2021
Illustration

SARS-CoV-2 Blood Biomarker Identifies Infected Patients Most at Risk of Dying of COVID-19

A statistical model developed by researchers uses a blood biomarker of SARS-CoV-2 to identify infected patients who are most at risk of dying of COVID-19. More...
29 Nov 2021
NUVO
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First-Ever Molecules that Target SARS-CoV-2 RNA and Prevent Replication Could Cure COVID-19

Researchers are working on new ways to cure COVID-19 infections, such as using molecules that bind to folds in the SARS-CoV-2 virus’s RNA genome. More...
29 Nov 2021
Image: The Pintuition system with reusable probe (Photo courtesy of Sirius Medical)

Tiny Magnetic Seeds Provide Pinpoint Surgical Guidance

A novel navigation system uses audio and visual feedback to precisely locate non-palpable tumors, enabling surgeons to locate them more easily. More...
25 Nov 2021
Illustration

New Algorithm Identifies COVID-19 Patients Who Will Require Intensive Care or Ventilation With 90% Accuracy

A new algorithm can predict how many patients will need intensive COVID-related healthcare. More...
25 Nov 2021
Clear Image Devices
Image: The wireless single-lead ECG247 heart sensor (Photo courtesy of Appsens AS)

Sensor Patch Accurately Detects Atrial Fibrillation

An easy-to-use long-term electrocardiogram (ECG) sensor allows continuous outpatient recording of heart rhythms, with the diagnostic accuracy of a Holter monitor. More...
24 Nov 2021
Illustration

AI-Based Method Predicts Atrial Fibrillation Risk Based on ECG Results

Investigators have developed and tested an artificial intelligence (AI)-based method for predicting an individual’s five-year risk of developing atrial fibrillation, or an irregular heartbeat, from electrocardiogram results. More...
24 Nov 2021
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