12th – 13th November
BENEFICIARIES OF THE PROJECT
12th – 13th November
Big Data & Cancer Genomics
HOW CAN WE STOP EARLY PRE-CANCER LESIONS BY DETERMINING THE RELATIVE RISK AT THE INDIVIDUAL LEVEL?
Your idea for addressing this Cancer Interception challenge could be a strategy for developing diagnostic test and associated surrogate endpoints that would serve to:
a) Identify those individuals with premalignancies who are most likely to progress.
b) Accurately measure the clinical response of those individuals with high cancer risk, who will receive treatment.
Big Data & Cancer Genomics
ATTENDEES CAN PRESENT THEIR SOLUTIONS TO EXPLORE CANCER GENOMIC DATA IN A BROAD RANGE OF APPLICATIONS SUCH AS (INCLUDING BUT NOT LIMITED):
1) Integrating Different Omics for Biomarker Discovery
2) Biomarker Association with Disease Progression, Survival and Treatments Response
3) Drug Discovery and Personalized Treatments
4) Characterization of Cancer Driver Genes and Mutation
5) Challenges in Classification and Deep Learning in Genomics Data
To this end, participants can bring their own solutions and explore their potential working in interdisciplinary teams or joining other participants and experts to propose ideas, proof-of-concept applications, etc.
A melanoma dataset and associated paper from the TCGA is provided but teams are free to use data from any other type of tumors that have been made publicly available at the TCGA data portal.
What is Oncothon?
Oncothon will be a 2-day event that will bring the opportunity for professional from different areas such as Oncology, Bioinformatics, Engineer or Biomedical Research, from academic and enterprise settings, to know how cancer genomics is opening new pathways for cancer diagnosis and treatment. Attendees will have the opportunity to attend outstanding talks about how to exploit cancer genomics data and participate in collaborative sessions with interdisciplinary teams to collaborate and brainstorm about innovative solutions.
This Oncothon arises in the framework of the ONCONET SUDOE European project, whose main objective is to generate an area of cooperation in oncology among research centers, universities, health institutions and companies. Learn more about ONCONET SUDOE …
Huge socio-economical impact of cancer worldwide. Check the facts of the World Healt Organization.
Cancer interception strategies include addressing the root causes of disease; intervening earlier than today’s clinically accepted point of diagnosis; and seeking solutions that stop, reverse or inhibit progression to that disease.
World-wide consortia are providing plenty of open access data and novel insights about cancer. Have your heard about the International Cancer Genome Consortium?
Show the potential of innovative analytics solutions for Cancer Genomics and Personalized Medicine.
Enjoying in a great environment while tackling the complexities and needs of oncology in all its social layers.
Bioinformaticians, Data Analysts, IT Engineers with expertise in Genomics, Big Data, Deep Learning, etc. Developers with software solutions for Cancer Genomics data analysis. Clinicians (Oncologists, Pathologists, …) basic, clinical and translational scientists, epidemiologists, biostatisticians, nurses, and Biomedical Researchers with interest in Cancer Genomics and Cancer Interception.
Anyone ready to deep in the knowledge of cancer study tools.
Participants will have to bring their own laptop to develop the methods in order to face the different challenges. We will provide with cloud services in case that high computation power is needed, however, it is recommendable to participate having access to personal computation clusters, i.e. those of the research group where you belong.
Participants interested in the Cancer Interception challenge could prepare a list of databases/sources of relevance to the problem, and start to think about which discovery approaches they would want to implement, and explore how the scientific community has tackled similar questions (e.g. from recent publications etc.).
Monday 12th of November
||Registration and teams organization|
Institutional opening and event overview
|11:30||Keynote Session: “Deep learning and Big Data: towards new contributions in cancer detection”, Francisco Herrera. Introduction by Pedro Carmona-Sáez, Head of Bioinformatics Unit, GENyO|
|12:30||Team working, networking and brainstorming|
|15:20||Team working, networking and brainstorming|
Tuesday 13th of November
|10:30||Team working, networking and brainstorming|
|15:00||Presentation of Results, Jury Deliberation and Awards|
We will be receiving inscriptions, included, until the 7th of November, 2018. Once you have submitted your inscription you will get an email that confirms you as a new Onconthon’s Runner. Please contact us if no email have reached your mailbox (firstname.lastname@example.org), always remember to check the spam folder.
Registration is now closed. If you have any questions please contact: email@example.com
- Keynote speakers: prestigious professionals in the field that will give introductory sessions.
- Speakers: they will give very short talks (10 min) during the team work time to provide ideas and/or demos of software that oncothoners can incorporate in their projects.
- Mentors: well recognized professionals with deep expertise in one or different aspects of the Oncothon topics that will help and guide participants in an active way during all the working sessions.
- Participants: professionals from different fields (Oncology, Bioinformatics, Engineer, Biomedical Research, etc), from academic and enterprise settings, that want to participate individually or as a team to propose ideas or solutions in one of the topics.
MENTORS AND EXPERTS
Genomic Landscape of Colorectal Pre-Cancers in Hereditary High-Risk Populations:
The Case of Lynch Syndrome
Eduardo Vilar, MD, PhD
Associate Professor & Deputy Chair
Department of Clinical Cancer Prevention
The University of Texas MD Anderson Cancer Center
Universidad de Granada
Parque Tecnológico de la Salud
October 3rd , 2018