A new study demonstrates that artificial intelligence trained on routine pathology slides can identify meningioma molecular subtypes and predict patient outcomes without expensive genetic testing, potentially democratising precision oncology in resource-limited countries. — Photo by Google DeepMind on Pexels (Pexels License)
MD, MPH, PhD. Editor-in-Chief, Georgian Medical Journal (GMJ). Professor and Head, School of Public Health, David Tvildiani Medical University (DTMU), Tbilisi, Georgia. Chair, Public Health Institute of Georgia (PHIG). President, Accréditation Sans Frontières (ASF), Paris. Secretary/Treasurer, UEMS Section of Public Health. WHO Consultant, Health and Migration, Geneva. Former Member, UN Secretary-General's Independent Accountability Panel for Every Woman, Every Child, Every Adolescent (IAP-EWEC, 2016–2021). ORCID: 0000-0001-7609-4515.
