Cindy Crowninshield, Co-Founder of Global Alliance for Open Science (GAFOS), shared a post on Linkedin:
“Digital twins are moving from concept to something much more actionable in oncology.
Instead of treating patient data, disease biology, and clinical context as separate layers, digital twin models bring them together into a unified system that can simulate, predict, and guide decisions in real time.
At the 25th Annual Bio-IT World Conference and Expo, this session explores what that actually looks like in practice:
Advancing Oncology and Precision Medicine with Biomedical Digital Twins.
Speakers from MD Anderson, Stanford, and The Jackson Laboratory will share how AI-driven twin models are being applied to improve disease prediction, optimize treatment strategies, and support more adaptive, patient-specific care.
The challenge is not just building these models. It is validating them, integrating multimodal data, and making them usable within real clinical and R&D workflows.
This is where digital twins either become transformative or remain theoretical.
Agenda and Registration Details.”
