Toward Adaptive Precision Medicine
Published in Genetics & Genomics
As a patient's disease and response to treatment change, subsequent treatment decisions should be informed by updated molecular and clinical data. We advocate adaptive treatment strategies that integrate genomic information with longitudinal molecular and clinical data. Artificial intelligence may help analyze these data and guide treatment decisions. The key challenge is to establish the reliability of its recommendations.(https://doi.org/10.3390/jgbg1020016)
Hui-Qi Qu, MB, PhD, is a Principal Scientist at the Center for Applied Genomics at Children's Hospital of Philadelphia. With a background in clinical medicine and experimental endocrinology, his research spans gene discovery and the genetics of diabetes and metabolic diseases, with a growing focus on integrative omics to better understand complex diseases and advance precision medicine.
My motto: The purpose of scientific publishing is to move science forward. The key is how to strike a balance between rigorous peer review and timely communication of research findings.
