Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data
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 …
past decade, malignant tumors remain a major public health problem. Further progress in …
Treatment-driven tumour heterogeneity and drug resistance: Lessons from solid tumours
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 …
dynamics and continuous changes under external pressure, it is one of the major causes of …
Mathematical modeling of cancer immunotherapy for personalized clinical translation
Encouraging advances are being made in cancer immunotherapy modeling, especially in
the key areas of developing personalized treatment strategies based on individual patient …
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
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 …
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 …
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
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 …
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 …
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 …
survival for patients. Several adjuvant therapies have been approved and are now …
Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth
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 …
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
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 …
continues to increase. This study delves into the intricate dynamics of metastatic CRC by …