100 citations · 119 across the 12 of their papers we have counts for
3 papers · 1 filter
Patient-specific computational forecasting of prostate cancer growth during active surveillance using an imaging-informed biomechanistic model
Guillermo Lorenzo, Jon S. Heiselman, Michael A. Liss +5
Active surveillance (AS) is a suitable management option for newly-diagnosed prostate cancer (PCa), which usually presents low to intermediate clinical risk. Patients enrolled in A…
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data
Guillermo Lorenzo, Syed Rakin Ahmed, David A. Hormuth +5
Despite the remarkable advances in cancer diagnosis, treatment, and management that have occurred over the past decade, malignant tumors remain a major public health problem. Furth…
Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas
Anirban Chaudhuri, Graham Pash, David A. Hormuth +6
We develop a methodology to create data-driven predictive digital twins for optimal risk-aware clinical decision-making. We illustrate the methodology as an enabler for an anticipa…