Monday, May 16, 2022

Ultra-powerful brain scanners offer hope for treating cognitive symptoms in Parkinson's disease

Ultra-powerful 7T MRI scanners could be used to help identify those patients with Parkinson's disease and similar conditions who are most likely to benefit from new treatments for previously-untreatable symptoms, say scientists.

Trained sniffer dogs accurately detect airport passengers infected with SARS-CoV-2

Trained sniffer dogs can accurately detect airport passengers infected with SARS-CoV-2, the virus responsible for COVID-19, finds research published in the open access journal BMJ Global Health.

Don't be afraid to exercise regularly to boost bone health and cut falls risk, people with osteoporosis advised

People with weakened bones (osteoporosis) shouldn't be afraid to exercise regularly, says a consensus statement drawn up by an expert panel on how best to maximize bone health, stave off fracture risk, and improve posture in those with the condition, and published in the British Journal of Sports Medicine.

WHO Foundation should not accept donations from the alcohol industry

To protect the independence and integrity of WHO, WHO Foundation should not accept donations from the alcohol industry according to a commentary published in the journal BMJ Global Health.

Scientists identify characteristics to better define long COVID

A research team supported by the National Institutes of Health has identified characteristics of people with long COVID and those likely to have it. Scientists, using machine learning techniques, analyzed an unprecedented collection of electronic health records (EHRs) available for COVID-19 research to better identify who has long COVID. Exploring de-identified EHR data in the National COVID Cohort Collaborative (N3C), a national, centralized public database led by NIH's National Center for Advancing Translational Sciences (NCATS), the team used the data to find more than 100,000 likely long COVID cases as of October 2021 (as of May 2022, the count is more than 200,000). The findings appeared May 16 in The Lancet Digital Health.