most citedPatient-specific computational forecasting of prostate cancer growth during active surveillance using an imaging-informed biomechanistic model

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

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…