Screening Applications & Diagnostics
Hjalmar Bouma, MD, PhD, EuCP (he/him/his)
Consultant Internal Medicine-Acute Medicine/Pharmacology
University Medical Center Groningen
Groningen, Groningen, Netherlands
Dimitris Tsiokos
CEO
Bialoom Ltd
Engomi, Nicosia, Cyprus
Sunghyun Ki (he/him/his)
Graduate student (Ph.D. candidate)
Incheon National University
Incheon, Inch'on-jikhalsi, Republic of Korea
Blood cultures have been the staple of screeing and diagnostics laboratories for well over half a century, but gaps remain in our ability to identify the causative agent in patients presenting with signs and symptoms of one of the major common and unresolved causes of death: Sepsis. Moreoveover, The inability to accurately diagnose the exact pathogen causing an infection often leads to broad-spectrum or inappropriate antibiotic prescribing. This adds unnecessary cost and promotes the development of antibiotic resistance, being one of the biggest threats for the whole human population during the next decades. In this session, we will tackle how new molecular technologies fueled with Machine learning and AI can help overcome these challenges in the near future.
Hjalmar Bouma, MD, PhD, EuCP (he/him/his) – University Medical Center Groningen
Dimitris Tsiokos – Bialoom Ltd
Sunghyun Ki (he/him/his) – Incheon National University