Dear Colleagues,
The next IFCC webinar: “Data-driven Operations and Machine Learning Applications in Clinical Laboratories” will be held on 23 May, 2022.
Recent advances in computational techniques have improved the utility of machine learning algorithms (ML) in laboratory medicine. Today, data-driven approaches and ML algorithms continue to be adopted and integrated into the complex infrastructure of health information systems (HIS) to improve clinical decision-making. In this context, clinical laboratories are trying to move from testing the technology to implementing it at scale to maximize impact and develop a ML -enabled tool to support clinical decision-making. In particular, it is important for laboratory professionals to consider and use such tools to enhance the value of clinical laboratory results.
This webinar will focus on the integration of data-driven laboratory workflows and the powerful technology of ML that offers significant potential to improve patient outcomes. The presenters have published several studies on models using multiple ML methods.
This webinar comprises of three following presentations of 20 min each, followed by 20 min of panel discussion at the end where the speakers will answer to your questions.
Chair/Moderator: Prof. Sedef Yenice
Talk 1: ” The role of digital transformation in improving clinical laboratory management ” – Dr. Merve Sibel Güngören
Talk 2: ” The Pursuits of Data Analytics and Machine learning applications in laboratory operations ” – Dr. Deniz Ilhan Topçu
Talk 3: ” Implementation of laboratory results in machine learning-based clinical decision support systems” – Dr. Hikmet Can Çubukçu
- Schedule: 20 min per speaker plus 20 min panel discussion
- Time Zones: Live presentations starting at: 10:00AM EDT-New York ; 4:00PM CET-Rome; 10:00PM CST-Beijing;
Important: Please ensure that you carefully determine the time that the presentation will start in your global time zone. Click here to convert to your time-zone.
- Recorded webinar: available on demand
- Certificate of participation: available for all registrants
