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Seminar - Modelling Expression Rates of Hypoxia-inducible Factors in Growing Tumours: Investigating Potentials for Non-Invasive Cancer Therapies

Dates:9 October 2019
Times:14:00 - 14:30
What is it:Seminar
Organiser:Department of Computer Science
Who is it for:University staff, Adults, Current University students
Speaker:Dario Panada
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  • Computer Science Mercury Lecture

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  • In category "Seminar"
  • In group "(CS) Computer Science seminar series"
  • By Department of Computer Science

Join us for the first PG Computer Science Mercury Seminar with speaker Dario Panada

In-silico modelling has the potential to complement laboratory studies by accurately simulating biological processes, offering insights into tumour dynamics, significantly reducing experimental costs, and improving the quality of measurements. Furthermore, in-silico studies allow to explore counterfactual situations and test multiple hypotheses in a quick and efficient manner. We have developed a comprehensive artificial model (informed by the medical literature) to investigate the potential for a novel non-invasive therapy aimed at containing cancer growth in tumour cells. Hypoxia-Inducible Factors have been previously identified as a target for non-invasive cancer therapy, where the requirement being that their expression could be artificially enhanced. While anti-angiogenic therapy has been suggested as potential vehicle to achieve this, the extent to which it is possible remains unclear, due to the challenges of making the necessary in-vivo measurements. We executed in-silico experiments to explore the effects of anti-angiogenic therapy. The results suggest that it can successfully act as a necessary precursor predisposing the tumour mass to non-invasive anti-cancer therapies. In addition to the medical value of the results, the results also highlight the importance of in-silico approaches as a complement to laboratory studies. The present study paves the way for future in-silico and laboratory experiments aiming at devising non-invasive therapies based on the joint action of anti-angiogenic and hypoxia-inducible-factor targeting.

Speaker

Dario Panada

Role: PGR student

Organisation: University of Manchester

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