Issues and developments related to IP, AI, and OM, examined in the IP and tech ethics graduate courses I teach at the University of Pittsburgh School of Computing and Information. My Bloomsbury book "Ethics, Information, and Technology", coming in Summer 2025, includes major chapters on IP, AI, OM, and other emerging technologies (IoT, drones, robots, autonomous vehicles, VR/AR). Kip Currier, PhD, JD
Showing posts with label revolutionary cancer detection test. Show all posts
Showing posts with label revolutionary cancer detection test. Show all posts
Wednesday, October 23, 2013
How Open Access Scholarship Saves Lives; American Libraries, October 22, 2013
Nella Letizia, American Libraries; How Open Access Scholarship Saves Lives:
"According to Jason Priem, ImpactStory cofounder and doctoral student in information science at the University of North Carolina–Chapel Hill, important parts of the scientific process, once hidden, are gradually being exposed online. As the workflows of scholars are moving online, the stuff of day-to-day science— conversations, arguments, recommendations, reads, bookmarks—leave traces on websites such as Mendeley, Twitter, blogs, and Faculty of 1000. Mining these traces, in addition to utilizing traditional metrics such as citation counts and journal impact factors, can give researchers and publishers faster, more diverse, and more accurate data of scholarly impact.
Cancer detection breakthrough thanks to open access
Open access caught international attention recently in part because of high-school student Jack Andraka of Crownsville, Maryland, who, in 2012 at the age of 15, developed a revolutionary cancer detection test. Designed to detect the presence of a protein for pancreatic, ovarian, and lung cancer at the early stages, the test costs 3 cents, takes five minutes to run, and is more than 90% accurate, according to the Right to Research Coalition. The test is also 26,667 times cheaper, 168 times faster, and 400 times more sensitive than the current pancreatic cancer test.
To research his cancer detection method, Andraka read free online articles he found at scientific journal websites and the PubMed Central. But, he noted, paid subscription requirements from other journals were an impediment."
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