Source – https://www.livemint.com/ Neetu Chandra Sharma Biotechnology companies have accelerated their use of cloud computing, machine learning (ML), and analytics for advancing research and development. More than 100,000 customers use AWS for ML today, right from creating a more personalized customer experience to developing personalized pharmaceuticals. Covid-19 pandemic has majorly accelerated healthcare digitization in India. Read More
Tag: Medical
Source – https://insidehpc.com/ Today it was announced that Andreas Weber has been appointed CEO of EvidentIQ, the newly formed life science group from the merger of clinical software vendors XClinical and Fortress Medical with social platform Carenity. The company said Weber brings more than 20 years of industry experience after management positions at ERT, Bioclinica and Oracle Health Sciences. The Read More
Source – https://medicalxpress.com/ Can better design of deep learning studies lead to the faster transformation of medical practices? According to the authors of “Designing deep learning studies in cancer diagnostics,” published in Nature Reviews Cancer‘s latest issue, the answer is yes. “We propose several protocol items that should be defined before evaluating the external cohort” says Read More
Source: medicaldesignandoutsourcing.com The use of robotics in medtech continues to grow. Whether it’s a cobot working alongside humans to automate manufacturing or a surgical robot in the OR, a single point of failure can cause serious harm. The incorporated software systems must take safety into account. IEC 61508-3 offers several techniques for developing software for Read More
Source:- npr.org When Merdis Wells visited the diabetes clinic at the University Medical Center in New Orleans about a year ago, a nurse practitioner checked her eyes to look for signs of diabetic retinopathy, the most common cause of blindness. At her next visit, in February of this year, artificial intelligence software made the call. The Read More
Source- healthcarefinancenews.com Artificial intelligence is coming to healthcare. In fact, in areas such as radiology and cancer detection, it’s already here in places, and is poised to become ever more prevalent in the industry. Which naturally raises a question for nurses and physicians: Is AI coming for my job? Well, probably not. At least according to Read More