M.D., D.Sc.
3DHISTECH
M.D., Ph.D, MIAC
The Catholic University of Korea
College of Medicine
This symposium highlights how leading institutions in Asia are redefining
diagnostic practices with
digital pathology.
ASAN Medical Center in Seoul, Korea’s largest private hospital, producing
nearly 900,000 slides
annually has shifted to a fully digital workflow, improving diagnosis speed,
accuracy, and
collaboration. They employ AI algorithms and develop applications to enhance
clinical
outcomes and
efficiency.
In India, Dr. Lal PathLabs has adopted digital pathology to maximize
productivity and diagnostic
precision, supporting increased caseloads and enabling multidisciplinary
consultation.
Participants will gain practical insights into the benefits and keys to
successful implementation of
digital pathology.
MD, PhD, Associate Professor, Asan Medical Center
Republic of Korea
MD, Principal Director, Lab Management & Technical Excellence, Dr. Lal Pathlabs
New Delhi, India
Tata Memorial Hospital, Mumbai
India
Singapore General Hospital
SingaporeModerator: Dr. Joe Yeong, Singapore General Hospital, Singapore
Panellist: Inti Zlobec (Switzerland), Manu Sebastian (USA) Andrey Bychkov (Japan), Rajiv Kaushal (India) + Dr. Sharath Chandra (India)
Singapore General Hospital
SingaporeUnlike radiology, efficiency gains for pathologists are not as important as reducing variability and improving treatment decisions for patients. For this reason, it is pertinent to evaluate the use of AI to better risk stratify patients. This can potentially inform precision therapy and determine which patients will benefit from chemotherapy and which will not and be spared the harmful side effects. At >2 GB per sample, the digital pathology data is very large and requires a cloud-based infrastructure to build and operate foundation models at scale. Come join me to understand and witness how AWS cloud is revolutionizing use of AI for Digital Pathology.
Senior Solutions Architect, AWS Healthcare and Life Sciences
IndiaWhile NGS is becoming the gold standard in cancer care, accessibility is impacted due to economic constraints especially among self-pay patients. 1Cell.Ai has developed a proprietary product called OncoPredikt using AI/ML to predict genomic biomarkers from histopathology images, and which significantly reduces the cost burden, making the technology affordable to all.
Panellists: Dr. Sandip M. Bipte (Mumbai), Dr. Liron Pantanowitz (USA), Dr. Rajendra Singh (USA) Dr. Deepak Mishra (Kolkata), Dr. Ayushi Jain (Mumbai)
Co Founder & CEO, 1Cell.Ai
India
GM-Digital Data Products 1Cell.Ai
India