ArtiQ reposted this
Chief AI Officer @ Clario | Harnessing artificial intelligence and machine learning to transform clinical trial endpoint analysis and the sponsor experience
Who would have thought that the problem in the research lab - seeing that the data quality of routine test as spirometry varies so much - would challenge us to build a model that would become a new industry standard? More than five years ago, Neel, Wim, and I worked on a deep learning model that mimics human visual expertise in assessing good forced exhalation effort. The model was great, but we wondered how the world would accept such advanced technology for such a simple and established manoeuvre across the globe. Fast forward to today, this webinar reminds me of how much we have achieved. The model ArtiQ.QC has been used in all continents (all right, apart from Antarctica :-) ) and is on track to assess the quality of spirometry data in more than a million cases by the end of the year. With the support of an amazing team Paul, Benoit, and Bert — the technology was improved and brought to the next level. We learned that it’s not about the technology itself but about the problem you are solving with it and the impact you create. Everyone wants results immediately, so we offered Overreading immediately. We entered the market shyly, but now we are becoming industry standards, with a growing number of pharmaceutical companies using us in their every study. Now, with Clario, I believe we are on a journey to be part of every respiratory clinical trial, supporting all new drugs coming to market to help patients. Feel free to watch more in the recordings on the webinar.
Interested in new frontiers in respiratory clinical trials? 👇 Check out our free on-demand webinar! In this video, Clario's new SVP and Chief AI Officer, Marko Topalovic; Director of Scientific Affairs, Kevin McCarthy; and Senior Director of Respiratory Solutions, Philip Lake, Ph. D., discuss: - Cutting-edge AI-driven approaches to spirometry data analysis, revolutionizing at-home testing with instant feedback and heightened efficacy. - Virtual integration of clinicians into participants' homes, ensuring top-notch data quality and engaging participant experiences. - Remote monitoring of lung sounds and their significant impact on respiratory endpoints within clinical trials. - Explore alternative respiratory endpoints that surpass traditional spirometry, providing greater flexibility and a more comprehensive assessment of lung health. ▶️ Watch now and stay ahead in respiratory research! https://hubs.li/Q02FPVsC0 #spirometry #respiratorycare #clinicaltrials #artificialintelligence