Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data

G Lorenzo, SR Ahmed, DA Hormuth II… - Annual Review of …, 2023 - annualreviews.org
Despite the remarkable advances in cancer diagnosis, treatment, and management over the
past decade, malignant tumors remain a major public health problem. Further progress in …

Treatment-driven tumour heterogeneity and drug resistance: Lessons from solid tumours

S Crucitta, F Cucchiara, R Mathijssen, J Mateo… - Cancer treatment …, 2022 - Elsevier
Molecular heterogeneity characterizes tumours' evolution and adaptation and, because of its
dynamics and continuous changes under external pressure, it is one of the major causes of …

Mathematical modeling of cancer immunotherapy for personalized clinical translation

JD Butner, P Dogra, C Chung, R Pasqualini… - Nature computational …, 2022 - nature.com
Encouraging advances are being made in cancer immunotherapy modeling, especially in
the key areas of developing personalized treatment strategies based on individual patient …

[HTML][HTML] Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications

S Bekisz, L Geris - Journal of Computational Science, 2020 - Elsevier
Cancer is still one of the major causes of death worldwide. Even if its comprehension is
improving continuously, the complexity and heterogeneity of this group of diseases …

An overview of machine learning methods for monotherapy drug response prediction

F Firoozbakht, B Yousefi… - Briefings in …, 2022 - academic.oup.com
For an increasing number of preclinical samples, both detailed molecular profiles and their
responses to various drugs are becoming available. Efforts to understand, and predict, drug …

Explainable deep learning for tumor dynamic modeling and overall survival prediction using Neural-ODE

M Laurie, J Lu - npj Systems Biology and Applications, 2023 - nature.com
While tumor dynamic modeling has been widely applied to support the development of
oncology drugs, there remains a need to increase predictivity, enable personalized therapy …

An overview of mathematical modelling in cancer research: fractional calculus as modelling tool

LC Vieira, RS Costa, D Valério - Fractal and Fractional, 2023 - mdpi.com
Cancer is a complex disease, responsible for a significant portion of global deaths. The
increasing prioritisation of know-why over know-how approaches in biological research has …

Current state of adjuvant therapy for melanoma: less is more, or more is better?

CD Lao, NI Khushalani, C Angeles… - American Society of …, 2022 - ascopubs.org
Advances in melanoma treatments over the past decade have changed the course of
survival for patients. Several adjuvant therapies have been approved and are now …

Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth

P Colli, H Gomez, G Lorenzo, G Marinoschi… - … Models and Methods …, 2021 - World Scientific
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 all …

A mathematical model with fractional-order dynamics for the combined treatment of metastatic colorectal cancer

D Amilo, K Sadri, B Kaymakamzade, E Hincal - … in Nonlinear Science and …, 2024 - Elsevier
Colorectal cancer (CRC) poses a significant global public health challenge as its prevalence
continues to increase. This study delves into the intricate dynamics of metastatic CRC by …