MathOnco25 Talks
Conference recordings
To support the growing momentum in our field of Mathematical Oncology, we have established a regularly recurring meeting that will provide an international venue for collaboration, integration, training and synergy for our exciting fusion of disciplines.
Below, you can find all talks from the 2025 conference available to you.
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Understanding the tumor microenvironment and its interactions with the host requires approaches that bridge scales and disciplines. Experimental methods reveal key mechanisms, but mathematical and computational models allow us to ...
Cancers are complex and evolving diseases. To tackle this complexity there has been growing interest in developing ...
CAR T cell therapy is one of the most exciting advances in modern cancer treatment. In this approach, a patient’s ...
Two critical metrics that describe tumor dynamics are the tumor growth rate and the invasion rate into adjacent ...
Cancer is a complex evolving ecosystem. In the realm of medicine, we define cancer as an ecological phenomenon starting with one rebel cell breaking free from its ecological limits and multiplies rapidly disrupting the ...
Magnetic resonance imaging (MRI) is key to clinically managing brain tumor patients, however connecting the biology ...
The tumor microenvironment (TME) is a critical factor in cancer initiation, progression, and treatment resistance. ...
Cancer cells adapt to environmental and therapeutic pressures through karyotypic plasticity, including whole genome ...
Spatial organization is a fundamental feature of tumor architecture that profoundly shapes cellular evolution and selection. This lecture examines how spatial structure influences evolutionary dynamics, with implications for ...
Triple-negative breast Cancer (TNBC) disproportionately affects young women with a survival median of only 1-1.5 ...
Glioblastoma (GBM) is an aggressive brain tumor that is extremely fatal with no current treatment options available ...
Individual human cancer cells often show different responses to the same treatment. In this talk I will share the quantitative experimental and computational approaches my lab has developed for studying the fate and behavior of ...
INTRODUCTION. Chemoradiation is the standard of care for locally advanced cervical cancer (LACC). However, patients ...
Patient-reported outcomes (PRO) are measures of symptoms (e.g., difficulty swallowing, insomnia, blood in stool) ...
Cell-free DNA is a promising biomarker for cancer detection. However, both the sources of elevated cell-free DNA ...
The integration of machine learning with mechanistic modeling is transforming the field of mathematical oncology. This lecture introduces Localized Convolutional Function Regression (LCFR), a novel AI-driven framework for ...
Clonal haematopoiesis (CH) is an age-associated process in which hematopoietic stem cells (HSCs) acquire somatic ...
Advances in multiregion sequencing have revealed extensive intratumor heterogeneity (ITH) — the presence of ...
Several mathematical and statistical approaches are established in radiation oncology, including the widely used Linear Quadratic (LQ) model, Biologically Effective Dose (BED), Tumor Control Probability (TCP), and Normal Tissue ...
Introduction: The clinical management of smoldering multiple myeloma (SMM), a precursor condition to multiple ...
Cell-free DNA (cfDNA) fragmentation encodes biological signals with non-invasive diagnostic potential in oncology. ...
The aspect of limited temporal data is one of the many challenges when dealing with clinical data. The amount of ...
Evolutionary therapies hold great promise to ameliorate cancer outcomes, but cells also escape treatment by non-genetic means, such as through reversible, plastic cell state transitions. Epithelial-mesenchymal transition (EMT) is ...
Phenotypic plasticity—the ability of cells to reversibly alter their functional and morphological identity—is a ...
Tumor heterogeneity critically influences tumor evolution and treatment outcomes. While increased mutational burden ...
Glioblastoma (GBM) is the most common and lethal brain cancer. It has a dismal prognosis with a 5-year survival ...
Glioblastoma is characterized by interpatient and intratumoral heterogeneity, making it difficult to assess treatment response and predict disease progression from standard clinical imaging. Integrating mechanistic tumor growth ...
While cancer has traditionally been considered a genetic disease, mounting evidence indicates an important role for ...
Cancer is a significant global health issue, with treatment challenges arising from intratumor heterogeneity. This ...
As evolutionary cancer therapies increasingly enter clinical trials, there is an urgent need for theoretical and experimental studies to identify the patients most likely to benefit, to inform trial design, and to aid the ...
Evolutionary therapy is inherently a dynamic and proactive approach to cancer treatment. This necessitates the ...
OBJECTIVE: Intravesical adoptive cell therapy with tumor-infiltrating lymphocytes (ACT-TIL) increases the number of ...
Glioma stem cells (GSCs) are considered a major driver of glioblastoma (GBM) progression and are highly resistant ...
Androgen deprivation therapy (ADT) with luteinizing hormone-releasing hormone analog remains the cornerstone for treating metastatic prostate cancer (mPC). Recent clinical practice has added docetaxel chemotherapy and/or the ...
Drug addiction (or dependence) to therapy in cancer describes the paradoxical condition in which a resistant tumor ...
Standard-of-care cancer therapy regimens are characterized by continuous treatment at the maximum tolerated dose; ...
Treatment resistance contributes to almost ninety percent of cancer-related deaths. Intratumor heterogeneity and ...
Cancer exhibits ecological and evolutionary dynamics and conforms to the laws and principles of ecology and evolution. First, all populations have the capacity to grow exponentially under ideal conditions. When entirely ...
Basal cell carcinoma (BCC) accounts for 80% of skin cancers and in most cases is very treatable. However, roughly ...
PURPOSE: Our study examines tumor growth dynamics and immunosuppression under the presence of immune attack to ...
Recent work by Kleshnina et al. has presented a Stackelberg evolutionary game model in which the Stackelberg ...
High-grade serous ovarian cancer (HGSOC) remains the most lethal gynecologic malignancy. Nearly 80% of patients are diagnosed at an advanced stage, and most experience recurrence despite achieving an initial clinical response to ...
A central challenge in evolutionary therapy is predicting tumor adaptation, yet a detailed quantitative ...
Metastasis is the leading cause of cancer lethality, yet current predictive models can only estimate if it will ...
Cancer therapy outcomes are increasingly limited by the evolution of resistance rather than lack of effective drugs. Integrating principles from evolutionary biology and game theory, adaptive treatment strategies aim to delay or ...
Following relapse after first-line therapy, sotorasib is employed as a second-line treatment for KRAS-mutated ...
Background and Purpose: There has been a recent recognition that continuous chemotherapy at the maximum tolerated ...
Mathematical oncology increasingly draws on complementary modeling strategies to address the complexity of tumor dynamics and treatment response. Data-driven AI models excel at extracting patterns from complex data such as ...
Context: Radiation-induced lymphopenia (RIL) is characterized by a decrease in the absolute lymphocyte count (ALC) ...
Intravesical adoptive cell therapy (ACT) with tumor-infiltrating lymphocytes (TIL) holds promise for durable ...
Targeted therapies directed against oncogenic signaling addictions, such as ALK inhibitors (ALKi) in ALK+ NSCLC, tend to induce strong and durable clinical responses. However, targeted therapies are not curable, as subsets of ...
Resistance to treatment, which comes from the heterogeneity of cell types within tumors, is a leading cause of poor ...
The integration of advanced mathematical and computational methodologies is playing an increasingly central role in cancer research, offering critical insights connecting biological mechanisms to clinical applications and ...
The mathematical oncology community has grown into a highly collaborative and interdisciplinary field. In this talk, Sandy Anderson outlines the vision of establishing a formal society which will provide opportunities to ...