3 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth
Pierluigi Colli, Hector Gomez, Guillermo Lorenzo +3
Prostate cancer can be lethal in advanced stages, for which chemotherapy may become the only viable therapeutic option. While there is no clear clinical management strategy fitting…
Mathematical analysis and simulation study of a phase-field model of prostate cancer growth with chemotherapy and antiangiogenic therapy effects
Pierluigi Colli, Hector Gomez, Guillermo Lorenzo +3
Cytotoxic chemotherapy is a common treatment for advanced prostate cancer. These tumors are also known to rely on angiogenesis, i.e., the growth of local microvasculature via chemi…