Research

AI could Crack the Language of Cancer and Alzheimer's

Powerful algorithms used by Netflix, Amazon and Facebook can 'predict' the biological language of cancer and neurodegenerative diseases like Alzheimer's, scientists have found.

Predicting COVID-19 Outbreaks with Cell Phone Mobility Data

Mobility tracking using cell phone data showing greater movement of people is a strong predictor of increased rates of COVID-19, according to new data in CMAJ (Canadian Medical Association Journal).

Virtual "Urgent Care" may Lead to Higher Rates of Downstream Follow-Up Care

Even before the pandemic made telehealth a hot topic, people with minor urgent health needs had started to turn to companies that offer on-demand video chats with physicians that they don't normally see.

X-Rays Combined with AI Offer Fast Diagnostic Tool in Detecting COVID-19

X-rays, first used clinically in the late 1890s, could be a leading-edge diagnostic tool for COVID-19 patients with the help of artificial intelligence, according to a team of researchers in Brazil who taught a computer program, through various machine learning methods, to detect COVID-19 in chest X-rays with 95.6 to 98.5% accuracy.

Telemedicine Improves Access to High-Quality Sleep Care

The American Academy of Sleep Medicine recently published an update on the use of telemedicine for the diagnosis and treatment of sleep disorders to reflect lessons learned from the transition to telemedicine during the COVID-19 pandemic and the benefits of continuing to utilize remote care when appropriate.

Early Warning System for Intensive Care Units

Life-threatening situations occur time and again in an intensive care unit. To make sure that doctors can intervene in time, a team at the German Heart Center Berlin (DHZB) has developed AI-based software that regularly evaluates all monitoring data and alerts staff before a critical situation is reached. With the establishment of x-cardiac GmbH, these AI-based monitoring systems have now become market-ready medical products.

Child Brain Tumours can be Classified by Advanced Imaging and AI

Diffusion weighted imaging and machine learning can successfully classify the diagnosis and characteristics of common types of paediatric brain tumours a UK-based multi-centre study, including WMG at the University of Warwick has found. This means that the tumour can be characterised and treated more efficiently.

Research News

AI could Crack the Language of Cancer and Alzheimer's

Predicting COVID-19 Outbreaks with Cell Phone Mobility Data

Virtual "Urgent Care" may Lead to Higher Rates of Downstream Follow-Up Care

X-Rays Combined with AI Offer Fast Diagnostic Tool in Detecting COVID-19

Telemedicine Improves Access to High-Quality Sleep Care

Early Warning System for Intensive Care Units

Child Brain Tumours can be Classified by Advanced Imaging and AI

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