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The DXRX marketplace, planned for launch in the fourth quarter of 2020, will provide a way for pharmaceutical companies, diagnostic firms, and laboratories to collaborate.
Data amassed by analytics firm Diaceutics suggests fewer patients are coming into healthcare facilities and missing the chance for diagnosis, molecular testing, and treatment.
While the guidance may lead to more streamlined CDx indications in precision oncology, test developers will still need to generate evidence, perhaps with limited pharma support.
Diaceutics is projecting that FDA will soon approve more personalized drugs than all-comer drugs, but absent changes in diagnostics strategies many patients won't receive them.
An IASLC survey showed that molecular testing is not performed in line with expert guidelines, which means only a minority of lung cancer patients are benefitting from precision oncology.
The survey results point to the need for greater education among patients so they can better advocate for themselves.
Analyzing utilization data, Diaceutics found that issues around 13 genetic tests prevent around 78,000 patients from getting personalized, targeted treatments each year.
Diaceutics will use the data to help its pharmaceutical industry clients speed their rollouts of new cancer drugs.
Stakeholder input on FDA's draft Rx/Dx codevelopment guidance signals that precision medicine is actually developed differently than the agency wants it to be.
There was a lot of growth in the precision medicine field in the past year, and some experts believe the FDA's decision to hold off on regulating LDTs could spur more innovation.
Nearly 30,000 COVID-19 tests the UK sent to the US came back as void, according to the Telegraph.
Black principal investigators receive less favorable application scores when seeking US National Institutes of Health grants, the Chronicle of Higher Education reports.
New Scientist reports that both RNA and DNA may have been involved in the emergence of life on Earth.
In Nature this week: new Sperm-seq method enables crossover analysis, tumor-informed detection approach for minimal residual disease, and more.