Machine Learning
Meet with Christopher Kata, Director of Sales and Marketing March 3rd to 4th, San Diego, California. Christopher is in town for client meetings and has availability for additional meetings. Christopher Kata, Director of Sales & Marketing905 [email protected] Arrange to meet in person and learn how TrialStat is leading way in innovative, interoperable Electronic Data Capture…
Read MoreWe met incredible researchers, partners, and solution providers at the event, and thanks to our on the ground team Christopher Kata, Heather Williams, and Chris Hamelin, we were able to engage with them using our recently released eClinical Technology interoperability diagram that maps out TrialStat’s innovative advances in Trial Management Technology, Vendor Neutral Imaging Archive,…
Read MoreBruno Villetelle, Head of Data and Digital, Novartis Global Drug Development, wrote a very succinct summary of the core topics covered at J.P. Morgan 2020. We’re excited to see the continued momentum behind these digital trends and how we’re enabling Sponsors to take advantage of Real World Data, Machine Learning and so much more through…
Read MoreThis may just be the first drug to be generated using artificial intelligence (AI) which has now entered clinical trials in Japan. “The project has been particularly heralded for the speed it took to complete – taking just 12 months when compared to the typical five years it takes drug companies to complete the research…
Read MoreMicrosoft has recently announced a $40 Million investment in AI for Health Initiatives. “Through its AI for Good projects, Microsoft is applying lessons from software to artificial intelligence technologies that are under development. In the case of health, Microsoft officials said their mission is to use insights derived from AI technologies and techniques to search…
Read MoreAccording to new research from Google Health, AI can more accurately detect breast cancer than physicians. “The technology’s reading of mammograms reduced both false positives, where healthy patients are mistakenly diagnosed with the disease, and false negatives, where the cancer is missed, the Alphabet Inc. unit said in a blog post on Wednesday. The system reduced false positives by…
Read MoreThis year at DIA one of the overriding themes was with the value and benefit of Machine Learning and Artificial Intelligence. One of these sessions was of particular interest and a summary has since been published by DIA. “Assembling experts from the application and research side of drug discovery, the session AI in Drug Discovery…
Read MoreIn a News Release on Eureka Alert, comes a fascinating example of how cameras were used in patient care combined with machine learning to better identify and improve lifestyle strategies for heart failure patients. The article titled “Tiny wearable cameras may improve quality of life in heart failure patients” and is an outstanding example of…
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