When scientists from Russia and Singapore tested an algorithm they created that that predicts marital status using data from three social networks, they found the program identified President Donald Trump as single. He is actually married to Melania Trump, his third wife.
Category: Computer Science
Facebook aims to prevent suicide
… Dr. Paul Domitor. So the activities they’ve previously enjoyed, they stop enjoying,” But, stigma surrounding mental health often gets in the way of those who are struggling and their family as they try to reach out. “Some people that get very …
Neura AI collects information from all of your devices to improve your health
… apps. Our smartphones go everywhere we go. To a certain extent, so do our smartwatches, fitness trackers, wireless health monitors, and wallet locators. But for the most part, they don’t talk to each other. A Fitbit can’t tap health information from …
Regents Announce 2 Candidates for Next UA President
… introducing five cross-institutional research initiatives centered on innovation, genomics, regenerative medicine, health policy and clinical research. TMC, the largest medical complex in the world, is at the forefront of advancing life sciences. An …
Santen and twoXAR Announce Strategic Research Collaboration to Discover New Glaucoma Treatments
Santen, Inc., the U.S. subsidiary of Santen Pharmaceutical Co., Ltd., the specialty ophthalmology company headquartered in Osaka, Japan, and twoXAR, Inc., an artificial intelligence-driven biopharmaceutical company, today announced that the two companies have entered into a strategic research collaboration focused on the identification of new drug candidates for glaucoma. Under the agreement, twoXAR will use its proprietary computational drug discovery platform to discover, screen, and prioritize novel drug candidates with potential application in ocular indications, with a specific focus on glaucoma.
Researchers develop computer machine-learning model to predict remission or relapse in AML patients
Researchers have developed the first computer machine-learning model to accurately predict which patients diagnosed with acute myelogenous leukemia, or AML, will go into remission following treatment for their disease and which will relapse. “It’s pretty straightforward to teach a computer to recognize AML, once you develop a robust algorithm, and in previous work we did it with almost 100 percent accuracy,” said Murat Dundar, senior author of the disease-progression study and associate professor of computer science in the School of Science at Indiana University-Purdue University Indianapolis.
AI System Recognizes Skin Cancer
… as successfully as human experts, according to the latest research attempting to apply artificial intelligence to health. The US-based researchers say the new system, which is based on image recognition, could be developed for smartphones, …
Diagnosing skin cancer: Software as good as doctors
… assessments of more individuals than is possible with existing medical-care systems,” Sancy Leachman of Oregon Health and Science University and Glenn Merlino of the US National Cancer Institute wrote in a comment also published in Nature. “Star …
Diagnosing skin cancer: Software as good as doctors
… assessments of more individuals than is possible with existing medical-care systems,” Sancy Leachman of Oregon Health and Science University and Glenn Merlino of the US National Cancer Institute wrote in a comment also published in Nature. “Star …
phat 1.5.0
Persistent Homology Algorithm Toolkit This is a Python interface for the `Persistent Homology Algorithm Toolkit`_, a software library that contains methods for computing the persistence pairs of a filtered cell complex represented by an ordered boundary matrix with Z\ :sub:`2` coefficients. For an introduction to persistent homology, see the textbook [1]_.
Monday interview: Chris Roche, chief executive of Aridhia
The best thing about his role as chief executive of health informatics firm Aridhia, Chris Roche says, is “the opportunity to accelerate and have a profound impact on clinical research at scale”. He explains: “Currently, it takes on average 19 years to get from an idea to something that can be used in clinical practice.
John Deltuvia Recognized for Excellence in Information Technology
John Deltuvia has been included in Marquis Who’s Who. As in all Marquis Who’s Who biographical volumes, individuals profiled are selected on the basis of current reference value.