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EMBO|FEBS Lecture Course

Cancer systems biology: Promises of artificial intelligence

28 September – 02 October 2020 | Virtual Meeting

Due to the current pandemic situation and strict regulations regarding physical meetings, this EMBO|FEBS Lecture Course will be run in a fully virtual mode.

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  • Registration Deadline
  • 20 August 2020
  • Abstract Submission Deadline
  • 20 August 2020
  • Chosen Participants Will Be Notified By
  • 25 August 2020
  • Payment Deadline
  • 10 September 2020

Apply now!

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About the EMBO-FEBS Lecture Course

The diversity across tumors from different patients and even across cancer cells from the same patient makes the picture very complex. The idea of ‘personalized’ or ‘precision’ medicine has been suggested, aiming to find tailored treatment regimen for each patient according to the individual genetic background and tumor molecular profile. This attempt is achievable thanks to sufficient molecular characterization of cancers accumulated using high-throughput technologies and advanced imaging technologies. However, despite availability of cancer multi-scale data, they are not fully exploited to provide the clue on deregulated mechanisms that would guide better patients stratification and to specific treatment in cancer.

The objective of this EMBO|FEBS Lecture Course is to promote better integration of computational approaches into biological and clinical labs and to clinics. We aim to help participants to improve interpretation and use of multi-scale data that nowadays are accumulated in any biological or medical lab. This year, the course will particularly focus on Artificial Intelligence (AI) and Machine Learning (ML) approaches in cancer research and in clinics. We will review current methods and tools for the analysis and interpretation of big data, along with concrete applications related to cancer. In particular, we will emphasize the role of AI/ML methods for understanding the heterogeneity of tumor and applications in personalized treatment schemes development.

We have invited leading speakers from different fields in cancer systems biology, especially from the field of Artificial Intelligence (AI) and Machine Learning (ML) in cancer research and in clinics. The invited speakers will expose various approaches for omics, imaging, clinical data analysis and interpretation, combining signalling networks together with multi-scale data and associating it to clinical data. In addition, drug sensitivity prediction algorithms, biomarkers and cancer drivers identification; patient stratification approaches; application of mathematical modelling and image analysis in cancer with focus on AI/ML approaches will be demonstrated.

Graphics design by Lara Bucher

 

Speakers

 

Programme

 

Registration

  • Registration Deadline
  • 20 August 2020
  • Abstract Submission Deadline
  • 20 August 2020
  • Chosen Participants Will Be Notified By
  • 25 August 2020
  • Payment Deadline
  • 10 September 2020

 

  • STUDENT/POSTDOCS Free
  • ACADEMIC EUR 200
  • INDUSTRY EUR 350

Registration includes:

This is a virtual course. The registration for students and post-doc is free-of-charge. Registration is mandatory for all categories of attendees.

Upon the registration and following the selection procedure, the course participants will be provided with access to:

  • Web lectures
  • Lectures videos, slides, posters, course booklet
  • Web round table discussions
  • Career development workshop session
  • Journal club presentations
  • Online social events

Selection criteria

No previous experience in programming and modelling methods or deep knowledge in systems biology is required. The talks will be constructed in a didactic manner, introducing the audience to the basics on systems biology approaches and applications for cancer research.

Selections for participation in the course are based on applications.

Application for the course

  • CV (one page)
  • Description of scientific project in a form of abstract (one page)
  • Motivation letter explaining objectives to attend the course (one page)
  • Recommendation letter from one reference person

Note: If the reference person wishes to communicate directly with the scientific committee of the course, they can send their recommendation letters to c.sysbiocancer2020@curie.fr before the registration deadline.

Abstract guidelines

Description of scientific project.

Word count limit: 450 words

Poster specifications

The pre-selected Master students participants will be provided by seminal articles in the field. They are asked to prepare, submit their presentations and present the assigned articles during virtual journal club sessions.

The pre-selected PhD students and post-doc participants will be asked to submit:

  • Posters in A0 size, pdf format
  • Slided in pdf format for oral presentations

Virtual poster sessons and flash presentations sessions by all PhD and post-doc participants will take place during the course.

Additional Information

The course will be validated by 4 ECTS for Master and PhD students. The attendance of the course will be monitored at the daily basis using online forms. The course certificates will be issues and sent to the participants in the end of the course.

In addition to attendance of the on line lectures, the participants of the course are expected to take part in the following virtual events:

  • Presentation of their own scientific project with a flash presentation and a poster (for PhD Students and Post-docs).
  • Participation in the Journal Club to present and discuss milestone papers in the cancer systems biology field. Scientific papers within the main topics covered by the course will be sent to the accepted applicants for presentations during virtual journal club (for Master students).
  • Participation in the Career development workshop during the Thursday special virtual session (all participants).

Evaluation of students (by scientific committee)

  • Master students will be evaluated according to their presentation on the Journal club
  • PhD students will be evaluated according to the flash presentations + posters
  • Post-doc applicants are requested to present a flash presentation and a poster on their scientific research. Most significant abstract will be chosen for prolonged, 15 minutes talks.

 

Contact

Inna Kuperstein

Email: c.sysbiocancer2020@curie.fr

 

 

Venue

Virtual Meeting

The course is co-organised and hosted by the Training Unit of Institut Curie.

Further details about the hosting link will be sent to the selected participants.

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