Overview

Artificial intelligence (AI) has permeated our lives, transforming how we live and work. Over the past few years, a rapid and disruptive acceleration of progress in AI has occurred, driven by significant advances in widespread data availability, computing power and machine learning. Remarkable strides were made in particular in the development of foundation models - AI models trained on extensive volumes of unlabelled data. Moreover, given the large amounts of omics data that are being generated and made accessible to researchers due to the drop in the cost of high-throughput technologies, analysing these complex high-volume data is not trivial, and the use of classical statistics can not explore their full potential. As such, Machine Learning (ML) and Artificial Intelligence (AI) have been recognized as key opportunity areas, as evidenced by a number of ongoing activities and efforts throughout the community.

However, beyond the technological advances, it is equally important that the individual researchers acquire the necessary knowledge and skills to fully take advantage of Machine Learning. Being aware of the challenges, opportunities and constraints that ML applications entail, is a critical aspect in ensuring high quality research in life sciences.

Recognizing this need, this week-long training will bring together experts from four ELIXIR Nodes and deliver a hands-on, high-intensity course available for members from all ELIXIR Nodes.

Learners will be guided across the various steps in Machine Learning, from the foundational concepts, through the deep learning and generative AI techniques, closely complemented by insights into the existing reporting (DOME Recommendations) and regulatory frameworks (EU AI Act).

This 4-day school will involve around 10 trainers/helpers from across 4 different ELIXIR nodes and 30 participants from across all ELIXIR nodes. It will be hosted in France in May 2025 (see below for venue and time).

The registration fees (including accommodation in single rooms and meals) are 650 EUR for academics and 1000 EUR for for-profit companies.

Audience

This course is addressed to bioinformaticians, biostatisticians, bioanalysts, life scientists and biomedical researchers with Python programming skills and general knowledge of Machine Learning approaches.

Datasets

Learning outcomes

At the end of the course, the participants should be able to:

• understand AI approaches
  
• be aware of regulations and standards of AI
  
• start applying learned approaches to their own data
  

Prerequisites

Knowledge/competencies

The level of this course is intermediate, with the following requirements:

• experience with data analysis

• intermediate Python programming

• machine learning basics

The level of participants will be self-assessed through a set of questions.

Technical

You are required to bring your own laptop, more instructions will be communicated to the selected course participants.

Preliminary schedule

Applications

Applications are now open at https://framaforms.org/ai-ml-in-life-sciences-application-form-1734346608. The number of participants will be limited to 30. Applications will be evaluated based on prerequisite skills and knowledge, as well as motivation for the training.

Venue and time

This course will take place in the Centre de Vacances et Colloques Paul Langevin (CNRS), in the village of Aussois (Savoie, France).

The event will start on Monday May 19th 2025 afternoon and end on Friday May 23rd 2025 around lunch time.

Organisers and trainers

Event rules and regulations

IFB abides by the ELIXIR Code of Conduct. Participants of IFB courses are also required to abide by the same code. Please, make sure that you read it before the event.

For more information, please contact contact-formation@groupes.france-bioinformatique.fr