The recent development of AI disease diagnosis models has shifted from a single data source to using multiple data sources simultaneously, such as combining electronic medical records, medical images, physiological signals, and next-generation sequencing analysis data, using multi-body modeling technique to establish a good disease model can provide personalized and precise medical treatment recommendations based on the patient's genes and clinical status. In the early stage of the disease, the model can predict the prognosis of treatment and provide the references for physicians to formulate treatment plans.

The current applications of AI in genomics analysis include: Next Generation Sequencing, Imputation, Polygenic Risk Score (PRS), etc., assisting in personalized medicine, the search data for disease-causing genes or risk factors, and drug development.

Clinical projects of AI center have already launched to web: SNP Array Imputation

• SNP Array Imputation (Link)