A finding of distinct patterns of gene-regulating RNA snippets in the blood of ME/CFS patients in response to a stress test could pave the way for a diagnostic tool for the condition and help untangle its underlying mechanisms.
From hospitals and college campuses to remote villages in French Guiana, scientists have pit the two approaches against one other. See which one comes out ahead.
A small study shows artificial intelligence can pick out individuals with coronavirus infections, but ophthalmologists and AI experts say the approach is far from proven to be capable of distinguishing infections with SARS-CoV-2 from other ills.
The company had helped develop a tool to aid decision-making in distributing limited medical equipment among coronavirus patients, but two high-profile retractions call into question the validity of Surgisphere’s work in toto.
The liquid biopsy, which detects cell-free tumor DNA, spotted undiagnosed cancers in some women, but had a greater number of false positives and false negatives.
Preprints from the first round of seroprevalence studies indicate that many more people have been infected with the virus than previously reported. Some of these studies also have serious design flaws.
Autopsies recently carried out in California show that one person died of the disease on February 6—three weeks before the nation recorded its first fatality.
Super-resolution imaging identifies abnormalities in the hair-like protrusions on a cell’s surface and may help facilitate earlier detection of primary ciliary dyskinesia.
The World Health Organization warns that a lack of data on how many people have the disease could undermine containment and mitigation efforts in many countries.
Current methods to detect infections of the novel coronavirus rely on identifying particular genetic sequences, but new assays are being developed to meet the growing demand for rapid answers.