3 citations · 4 across the 4 of their papers we have counts for
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q-bio.TO2023★ 1 cited
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…
physics.med-ph2023★ 3 cited
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…