Precision Medicine Paves the Way for Personalized Treatment of Gastrointestinal and Liver-Biliary Diseases
Advances in precision medicine, artificial intelligence, and non-invasive diagnostic tools are creating a shift in the treatment of gastrointestinal and liver-biliary diseases, helping doctors detect early, predict risk, and select appropriate regimens for each patient.
A presenter at the scientific program.
These are the specialized contents updated by experts at the scientific program organized by the University Medical Center Ho Chi Minh City on June 28.
According to Associate Professor, Dr. Vo Duy Thong, Head of the Department of Gastroenterology, University Medical Center Ho Chi Minh City, modern treatment based on technology with the ability to analyze clinical data and individual characteristics of each patient to make appropriate decisions.
“The core is to treat the right patient, at the right time, and with the right level of intervention,” Dr. Thong emphasized.
Associate Professor, Dr. Vo Duy Thong, Head of the Department of Gastroenterology, University Medical Center Ho Chi Minh City, speaking.
In clinical practice, many conditions such as gastroesophageal reflux disease, chronic inflammatory bowel disease, metabolic-associated fatty liver disease, viral hepatitis, or other liver-biliary diseases are gaining new treatment evidence, along with updated recommendations toward personalization.
Experts believe that three prominent trends are shaping the specialty: early detection through risk prediction models and non-invasive diagnostic techniques; building treatment strategies based on individual patient characteristics; and applying artificial intelligence and big data to support doctors in decision-making.
Delegates taking a commemorative photo at the program.
According to experts, precision medicine is gradually narrowing the gap between research and practice, contributing to improving the quality of treatment for gastrointestinal and liver-biliary diseases, while aiming for more comprehensive and personalized patient care in the future.
Khang Anh
