Clinical perspective and potential impact of VPH computational oncology

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label Diverse autorenew 2025-09-29, 17:01 history_edu Ioana Dinescu
For the last few decades, computational models have gained significant momentum, especially for simulating tumor growth and response to treatment. Clinically-driven complex multiscale cancer models can produce quite realistic spatio-temporal simulations of concrete clinical interventions such as radio-chemotherapy. In this context, clinical data processing procedures and computer technologies play an important role.

Following clinical adaptation and validation within the framework of clinico-genomic trials, models are expected to enhance individualised treatment optimisation. The latter constitutes the long-term goal of computational and in silico oncology. Short - and mid-term goals of this new domain are to provide insight into tumor dynamcis. Additionally, clinical trial design and interpretation will be optimised.

Renowned researchers in the area of computational and in silico oncology have been invited to present their accumulated experience. Thus, the summer school will provide an excellent opportunity for interested individuals to acquire both basic knowledge and information on the current trends of this highly active multidisciplinary field.

Period
23-06-2013 - 28-06-2013 (1 weeks)

Target group
early-stage researchers, clincians, medical students, engineers and others who wish to learn more about computational oncology from pioneers in the field



Course aim
nternational pioneers in the field of computational and in silico oncology will cover a wide range of multidisciplinary topics. They will impart the knowledge and skills required to understand the basics of multiscale cancer modeling and biomedical informatics framework.

These are needed to bring computational and in silico oncology closer to the decision making process and clinical setting. The latter is crucial for achieving our ultimate goal: to place patients into the centre of interest of medicine and offer tailor-made therapies for as many people as possible. The summer school is one step into this direction.

Credits
0.0 ECTS credits

Course fee
EUR 70: Participation fee 70/day (accommodation and catering)

Course leader
p-medicine

Universitat des Saarlandes
Address: Campus
Postal code: 66123
City: Saarbruecken
Country: Germany
Website: http://www.computationaloncology.org/
E-mail: contact@computationaloncology.org
Phone: 004968195923367