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William Lavery (Uppsala University)
Authors: William Lavery, Sara Hamis
We adapt the classic physics-informed neural network architecture to uncover the spatiotemporal dynamics of cellular data. This approach trains a supervised learning framework while enforcing a generalised reaction-diffusion partial differential equation (PDE) in two dimensions. By representing the diffusion and reaction terms as multilayer perceptrons,...
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Anna-Christina Rambow (UKSH)
Authors: Anna-Christina Rambow, Marius Möller, Nele Godbersen, Anna Trauzold
The emergence of resistance to anticancer drugs is a major challenge in oncology. Drug combination is a promising avenue of research as it can elicit synergistic anti-tumor effects and circumvent intrinsic or acquired resistance mechanisms. We found that combining the CDK4/6 inhibitor palbociclib with the...
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Mayukh Mondal (Kiel University)
Machine learning has proven highly effective in cancer classification using RNA expression data. These models are versatile and can be applied to various cancer types with minimal prior knowledge, provided sufficient training samples are available. However, machine learning models often function as black boxes, making result interpretation challenging. Traditional neural networks also lack...
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Gopinath Sadhu (Indian Institute of Technology Guwahati, Assam, India)
Authors: Gopinath Sadhu, Helen M Byrne, and D C Dalal
Oxygen heterogeneity is a common feature in solid tumors. Oxygen deficiency in a tumor can trigger various events such as metabolic adaptation, angiogenesis, and epithelial-to-mesenchymal transition (EMT), which contribute to the invasion process. In this work, we propose a mathematical model to describe how oxygen levels within a tumor...
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Malte Carstensen (CAU Kiel)
In recent years, some bacterial species, most prominently Fusobacterium nucleatum (F. nucleatum), have been associated with an adverse pancreatic ductal adenocarcinoma (PDAC) progression. While analysis of the impact of these bacteria on PDAC cells is now beginning, knowledge on the effects of bacteria associated with prolonged survival like Alkalihalobacillus clausii (A. clausii) is lacking....
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Kevin Flores (North Carolina State University)
Authors: Kevin Flores, Adam Malik, Kyle Nguyen, John Nardini, Cecilia Krona, and Sven Nelander
In the study of brain tumors, patient-derived three-dimensional sphere cultures provide an important tool for studying emerging treatments. The growth of such spheroids depends on the combined effects of proliferation and migration of cells, but it is challenging to make accurate distinctions...
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Philipp Altrock (MPI for Evolutionary Biology & UKSH)
Chimeric Antigen Receptor (CAR) T-cell therapy has emerged as a promising option for relapsed or refractory lymphoma patients and acute leukemias. Mathematical modeling offers a valuable tool for investigating the interactions among these living drugs, tumors, and heterogeneous patients' immune or inflammatory context. Using longitudinal data from experiments and the clinic, we examine how...
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Oluwafemi Olagbami (Federal University Oye-Ekiti)
Authors: Oluwafemi Samson OLAGBAMI, Emmanuel Afolabi BAKARE
Soil-transmitted helminthiasis (STH) is major public health challenge in many region of Nigeria, particularly Ogun State. Environmental and climatic factors such as temperature, rainfall and soil pH have been identified to influence the transmission of infectious diseases which include neglected tropical diseases (NTDs). These...
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Helal Ahmed (University of Lübeck & Universitäres Cancer Center Schleswig-Holstein (UCCSH))
Authors: Helal Ahmed1,2, Luca Heinemann1, Klara Möllers1, Zhangman Wang2, Marah Hussein2, Pradeep Kumar Patnana1,2, Jan Vorwerk1,2, Ashok Kumar Rout3, Eva Dazert, Ulrich Guenther3, Nikolas von Bubnoff2, Wael Mansour4, Cyrus Khandanpour1,2.
Background: Multiple myeloma (MM) is a hematological malignancy that disrupts the bone marrow (BM) microenvironment to support its progression....
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Mohamed Srour (Humboldt University of Berlin)
Natural selection plays a critical role in the evolution of cancer cells, driving their adaptation and survival within the tumor microenvironment. Cancer arises from genetic and epigenetic alterations that confer selective advantages to certain cells, allowing them to proliferate, evade immune responses, and resist therapies. Within a heterogeneous tumor population, selective pressures such as...
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Edwin Weinholtz (TU Dresden)
Authors: Edwin Weinholtz, Simon Syga, Andreas Deutsch
Invasion into surrounding tissues and metastasis are hallmarks of cancer (Hanahan and Weinberg, 2011). Cancer cells exhibit invasion both as isolated entities and as coordinated groups, posing significant challenges to effective therapeutic interventions. Notably, collective clusters of cancer cells have been shown to exhibit increased...
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Carla Ríos Arceo (Princess Maxima Centre)
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