Digital Twin
In medicine, a digital twin is not a perfect copy of a person. It is a computational model built from data. A digital twin might estimate how a disease could progress, how a patient might respond, or how a clinical trial population might behave. For rare disease, digital twins are being discussed because traditional large trials can be hard to run, but the models must be transparent, validated, and used carefully.
Why it matters
Digital twins could help improve trial design for small rare disease populations, but families should know that a model is only as reliable as its data, assumptions, and validation.
Related content
What Is a Digital Twin in Medicine?
A digital twin in medicine is a data-driven model that estimates how a patient, disease, organ, or trial might behave under different conditions.
Dr. Alex Kolevzon on Gene Therapy, SHANK3 & the Future of Treatment
Dr. Alexander Kolevzon
Welcome to Generation Hope. In this wide-ranging interview, Dr. Alex Kolevzon (Mount Sinai) sits down with Ron to discuss the science, the trials, and the human side of gene therapy for rare neurodevelopmental disorders. In this episode...
Watch InterviewHow AI Could Change Clinical Trials for Ultra-Rare Disorders
Ultra-rare trials are often small, fragile, and difficult to interpret. AI may help researchers design studies that are more realistic without lowering the bar for evidence.
Why it matters: Ultra-rare trials need rigorous design even when traditional large studies are difficult or impossible.
Source: GENEration Hope editorial analysis
Read