Hematology analysis ranks as the world's most frequent and highest-priority laboratory examination. Identifying blast cells is fundamental to the early treatment of malignancies. However, it has long been extremely difficult to tell if an abnormal cell is truly a blast. In this episode, Professor Marie Christine Béné draws on decades of experience in laboratory medicine to explain how AI is solving this industry pain point. She redefines the future of laboratories through the lens of "harmonization," offering forward-thinking insights into the Intelli-Digital development of laboratory medicine.
Professor Marie Christine Béné highlights two advantages that AI brings:
First, it allows multiple people to look at the same cells
simultaneously and decide together if they're blast cells. Instead of
one person working alone at a microscope, images can now be easily
shared with other medical professionals for collaborative confirmation.
Second, it provides a good learning path for young technicians. AI
helps them to know much faster what the cells look like, significantly
shortening the learning curve.
When discussing the future development of laboratories, Professor Marie Christine Béné suggests that "Harmonization" may be a more appropriate descriptor than "Standardization."
This is because laboratories across the world differ in terms of operators, test samples, and equipment models. Demanding absolute "standardization" is unrealistic. Instead, the priority should be establishing a mechanism for mutual harmonization—one that enables different laboratories and various testing technologies to produce consistent results.
The establishment of such a mechanism cannot rely solely on equipment manufacturers. It requires deep collaboration between industry players, diagnostic experts, and researchers, ensuring the active involvement of frontline clinical personnel who work directly with patients and perform the testing.