EurekAlert: Artificial intelligence can dramatically cut time needed to process abnormal chest X-rays . “New research has found that a novel Artificial Intelligence (AI) system can dramatically reduce the time needed to ensure that abnormal chest X-rays with critical findings will receive an expert radiologist opinion sooner, cutting the average delay from 11 days to less than 3 days. Chest X-rays are routinely performed to diagnose and monitor a wide range of conditions affecting the lungs, heart, bones, and soft tissues.”
South China Morning Post: Tens of thousands in Hong Kong to have their DNA sequenced in government-backed genome project. “Tens of thousands of Hongkongers will have their entire genetic code decrypted in a government-backed project aimed at building a database to boost diagnoses of rare illnesses and aid bespoke cancer treatments.”
EurekAlert: HepVu Releases state-level maps showing impact of h=Hepatitis C epidemic across the US . “Today, HepVu launched new interactive maps visualizing state-level estimates of people living with Hepatitis C across the United States that highlight a concentration of infections in some states most impacted by the opioid epidemic. Published in JAMA Network Open, the data reveal an estimated 2.3 million people living with Hepatitis C infection in the U.S. between 2013 and 2016, with a high burden in the West and in some Appalachian states.”
Miami Herald: Researchers compile body scans for new database. “Researchers are converting thousands of full-body scans done by the state Office of the Medical Investigator as part of an effort to build a searchable database that can help anthropologists, criminal investigators and others.”
Tuscon: University of Arizona College of Science: Lum. AI. “Researchers worldwide publish 2.5 million journal articles each year, adding to the tens of millions of scholarly articles in circulation. For a researcher or clinician, developing a holistic understanding of a field — for example, the systematic matching of genomic alterations in a tumor with proper drug treatments — is an immense task. Now imagine that those researchers, faced with trying to understand the various mechanisms and cellular processes involved in a specific tumor type, had a new tool: an automated system that could review all that literature — analyzing each academic paper in seconds — and extract key information that could help them generate easily interpretable answers and conclusions.”
Agency for Healthcare Research and Quality: Searchable Database Provides AHRQ-Funded Articles. “More than 4,600 recently published articles on nurse-patient partnerships, compliance with infection control practices in home health care, and racial/ethnic differences in end-of-life cancer than 4,600 Agency-supported articles are now available in the AHRQ Research Studies database.”
Dermatology Times: Improving the reporting of social media recruitment for clinical trials. “The popularity of social media has created a new opportunity for the research community to recruit study participants. Recent data indicate that nearly 70% of U.S. adults use some social media1. Coinciding with the surge of social media adoption, study teams increasingly report the use of social media to enhance recruitment in clinical research with promising but mixed results2,3. Recruitment of study participants is a significant problem, particularly in clinical trials. It remains a critical roadblock to successful clinical and translational research4,5.” This article has several references, thus the numbers.