Background Radiotherapy outcomes are usually predicted using the Linear Quadratic model.
However, this model does not integrate complex features of tumor growth, in particular cell …

The availability of multidimensional data together with the development of modern techniques
for data analysis represent an exceptional opportunity for clinical pharmacology. Data …

Purpose For nonlinear mixed-effects pharmacometric models, diagnostic approaches often
rely on individual parameters, also called empirical Bayes estimates (EBEs), estimated …

Hierarchical processes spanning several orders of magnitude of both space and time
underlie nearly all cancers. Multi-scale statistical, mathematical, and computational modeling …

Purpose: To develop a tumor growth inhibition model for adult diffuse low-grade gliomas (LGG)
able to describe tumor size evolution in patients treated with chemotherapy or …

Systems medicine is an interdisciplinary approach that integrates data from basic research
and clinical practice to improve our understanding and treatment of diseases. Systems …

Purpose: Optimal dosing is critical for immunocytokine-based cancer immunotherapy to
maximize efficacy and minimize toxicity. Cergutuzumab amunaleukin (CEA-IL2v) is a novel CEA-…

The promise of transforming digital technologies into treatments is what drives the development
of digital therapeutics (DTx), generally known as software applications embedded within …

With the aim of inhibiting cancer growth and reducing the risk of metastasis, pharmaceutical
companies in the early 1990s developed anti-metastatic agents called inhibitors of …

Tumor angiogenesis is the process by which new blood vessels are formed and enhance the
oxygenation and growth of tumors. As angiogenesis is recognized as being a critical event …