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Moffitt Employee Registration 14 Registrations Free  
External Participant Registration 6 Registrations Free  

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Event Details

Welcome to the registration page for the 8th Integrated Mathematical Oncology (IMO) workshop at the Moffitt Cancer Center. Now in its 8th year we are fully supported by the Moffitt Physical Sciences Oncology Center (Moffitt PSOC). The Moffitt PSOC is part of the greater Physical Sciences Oncology Network (PS-ON) supported by the National Cancer Institute (NCI). The IMO workshop is designed to motivate and facilitate a hands-on modeling experience focused on evolutionary therapy.  The workshop is comprised of both an educational event and competition and divides participants into multiple teams combining clinical, experimental and theoretical members. These teams integrate their energies to develop and implement a mathematical model focussed on evolutionary therapies for cancer. The teams are expected to come up with a model, solve it and give a presentation all within 4.5 intense days.

 

As always we will have several independent judges to view both the specific aims and the closing presentations to decide the winning team. To facilitate integration and motivate participation we are offering an Amazon gift voucher to active participants of the winning team and to the runner up team. In addition, to facilitate further development of the winning project we are offering a $50K pilot grant (generously funded by Moffitt Cancer Center) to the leaders of the winning team.

 

As with last years workshop there will be a "speed dating for scientists" to break the ice among diverse group of participants on the 28th. The opening presentation on the 29th will summarise what is expected of the teams and serve to motivate the subsequent hands on model development sessions. We plan to have an seperate poster session on the evening of the 29th to allow participants to showcase their own research. Participation in the workshop requires registration in order to generate the teams and give numbers for the food and beverages we are providing throughout the workshop. 

 

We are offering deluxe travel awards for external participation!!! Each award will cover flight + accommodation + meals for up to 6 nights and allow for both national and international scientists to participate in this unique hands on educational event. If you are either a PhD student, Postdoctoral student or junioir faculty with a passion for research and a desire to better understand cancer resistance as well as how to build integrated models then please apply during the registration process. Please note: the travel awards are extremely limited and will be offered on a competitive basis, application does not gaurantee participation. If you are able to cover your own expenses, please indicate this during the registration process.

 

Please note

TRAVEL AWARD APPLICATIONS WILL BE CLOSING ON MONDAY 24th of September 2018 at Noon EST. AWARD WINNERS WILL BE CONTACTED before the 28th of September 2018.

 

What

Despite major advances in cancer therapies, most metastatic cancers remain fatal because tumor cells have a remarkable capacity to evolve drug resistance, both through genetic and non-genetic mechanisms. A common maxim in cancer treatment is to “hit hard and fast” through dose-dense strategies that administer the highest possible drug dose in the shortest possible time period. The maximum tolerated dose (MTD) principle has been the standard-of-care for cancer treatment, however, it has not resulted in consistent cures in patients with disseminated cancers. An evolutionary flaw in this MTD strategy is the assumption that resistant populations are not present prior to therapy. It is now clear that cancer cells can be insensitive even to treatments that they have never encountered before. Therefore, MTD therapy that is designed to kill as many cancer cells as possible, although intuitively appealing, may be evolutionarily unwise. When high doses of drug are applied continuously, competitive release allows rapid emergence of resistant populations because of the combination of intense selection pressure and elimination of all potential “sensitive” competitors. An approach we have pioneered at Moffit is to deliver the minimum effective dose (MED) by only treating a subset of the tumor, ensuring that a drug-sensitive population is left behind when treatment stops, and allowing it to reestablish. Then, through repeated cycles of treatment, the tumor is kept under control for extended periods of time. The timing of each treatment will be specific to each cancer patient; how they respond to the initial treatment will dictate when the current treatment should stop and when the next round should begin. We have termed this approach “adaptive therapy”, where the dose and timing are adapted to each individual patient’s cancer. Adaptive therapy is a subset of a larger class of evolutionary-enlightened therapeutic approaches that embrace evolutionary principles to try and stay one step ahead of the complex evolving system that is cancer.

 

When

Sunday, 6PM, 28th October 2018 - Friday 2PM, 2rd November 2018. 

 

Where

Speed dating: SRB Atrium, 6PM 28th October.

Intoductory presentation: SRB Murphey, 9AM 29th October.

Working group sessions: Various rooms, 29th October - 1st November.

Closing presentations: SRB Murphey, 9AM 2nd November.

 

Chair and contact

The IMO Workshop is chaired and organized by the IMO Department Chair, Sandy Anderson. For more information concerning participation or about the workshop in general please contact IMO Department Asisstant Danae Paris directly at Danae Paris.

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Have questions about IMO Workshop 8: Evolutionary Therapy? Contact Moffitt Cancer Center, Integrated Mathematical Oncology

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Where


Moffitt Cancer Center
12902 Magnolia Drive
Stabile Research Building
Tampa, FL 33612

Organizer

Moffitt Cancer Center, Integrated Mathematical Oncology

The primary goal of Integrated Mathematical Oncology Department, at the Moffitt Cancer Center, is the integration of theoretical and computational modeling tools into clinical and experimental cancer research to aid in both the core understanding of cancer processes and the mechanisms that drive them.

By using a range of mathematical modeling approaches targeted at specific types of cancer we will aid in the development and testing of treatment strategies. This multi-model, multi-scale approach allows for a diverse and rich interdisciplinary environment that will create many novel approaches for the treatment and understanding cancer. 

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