EATRIS AI Symposium – “How the Emerging Role of Artificial Intelligence (AI) in Translational Medicine can Jump-start a New Era in Medical Care”

Join event
Date & Time 13 January (13:00-16:00 CET) and 19 January (13:00-16:00 CET) 2021
Location Online

EATRIS internal members are invited to the first EATRIS Symposium in January 2021 titled: “How the Emerging Role of Artificial Intelligence (AI) in Translational Medicine can Jump-start a New Era in Medical Care”.

This symposium aims to map the interests, capacities, and expertise among our EATRIS scientific community around the field of AI. The aim of the symposium is to gain a better understanding of the competences and skills present in our network that will promote future opportunities and best practice for incorporating AI into our translational research collaborations.

The application of AI has huge potential throughout the development life cycle of vaccines including trying to decode the underlying ways the human immune system fights disease. For example, several machine learning tools are used to search for immunogenic components of a virus that can make good vaccine candidates including scanning viral proteins to identify regions of the virus that can have strong antibody targets and a high likelihood of cell presentation.

 

Register

It will take place online in two parts: 13 January 2021, 1:00-4:00 PM and 19 January 2021, 1:00-4:00 PM. Register to attend here.

 

Meeting objectives

  • To highlight and identify ongoing initiatives and key experts around AI in the field of personalised medicine/drug repurposing within the EATRIS network and Platforms.
  • To increase awareness of AI trends, its potential impact on personalised medicine and applications in drug repurposing (with the ultimate goal to find new treatments and support clinical decision making).
  • To learn how AI can enhance patient empowerment (with the ultimate goal to contribute to the sustainability of Health Care Systems with improved patient outcomes).
  • To promote a vibrant and dynamic community around AI within EATRIS.
  • To identify new opportunities for EATRIS to implement AI in translational medicine, prepare the delivery of services and support to the scientific community, such as training and validation of new AI algorithms.
  • To identify key experts in AI field within the Small Molecules and other Platforms for the development of the Platform Scientific agenda around this topic.

Schedule 

SESSION 1: AI and Personalised Medicine (13th January 2021)

Slot

Title & Speaker

01:00 – Welcome Toni Andreu (EATRIS)
01:05 – Keynote + Q&A Enrico Glaab (University of Luxemburg, Luxemburg) – View on how AI could shape Personalised Medicine in the (near) future
01:30 – KEY abstract 1 + Q&A Lonneke Scheffer (University of Oslo, Norway) – immuneML: an open-source platform for large-scale machine learning on adaptive immune receptors
01:50 – KEY abstract 2 + Q&A Ramón Iglesias-Rey (IDIS, Spain) – Stroke outcome prediction and machine learning
02:10 – KEY abstract 3 + Q&A Nina Linder (FIMM, Finland) – Point-of-care diagnostics of cancer and infectious diseases using mobile digital microscopy and artificial intelligence
02:30 – Break
02:45 – Short Abstract 4 Sara González-García (IBiS, Spain) – Automatic ICD-O Coding in Oncohematology using NLP techniques
02:53 – Short Abstract 5 Petr Nazarov (LIH, Luxemburg) – Deconvolution and machine learning methods reveal oncogenic processes and characterize cancer patients
03:01 – Short Abstract 6 Roberta Fusco (Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Italy) – Radiomic and Artificial Intelligence by textural metrics, morphological and dynamic perfusion features extracted by Dynamic Contrast Enhanced Magnetic Resonance Imaging in the classification of breast lesions
03:09 – Q&A for 3 abstracts
03:20 – Panel discussion EATRIS panel, keynote speaker – Collaborative opportunities for EATRIS involving AI for Personalised Medicine. Enrico Glaab (University of Luxemburg, Luxemburg), Nina Linder (FIMM, Finland), Maria Laura Bermejo (SERMAS, Spain) and Toni Andreu (EATRIS)
03:40 – Spotlight Interview Short interview on Abstract with highest potential impact selected by EATRIS community
03:55 – Outlook & Adjourn Emanuela Oldoni (EATRIS) – Concluding remarks

SESSION 2: AI and Drug Repuprosing (19th January 2021)

Slot

Title & Speaker

01:00 – Welcome Anton Ussi (EATRIS) – Introduction
01:05 – Keynote + Q&A Andrea Beccari (Exscalate4Cov project, Dompé farmaceutici H2020, Italy) – View on how AI can boost drug repurposing / Covid-19 case study
01:30 – KEY abstract 1 + Q&A Jing Tang (University of Helsinki, Finland) – Predicting drug targets by integration of drug sensitivity and gene signature data – the NETPHAR winning strategy
01:50 – KEY abstract 2 + Q&A Oriol Iborra-Egea (Health Sciences Research Institute Germans Trias i Pujol, IGTP, Spain) – Unravelling the molecular mechanism of action of empagliflozin in heart failure with reduced ejection fraction with or without diabetes
02:10 – KEY abstract 3 + Q&A Philippe Robert (University of Oslo, Norway)  – A billion synthetic 3D-antibody-antigen complexes enable unconstrained exploration of antibody specificity prediction methods
02:30 – Break
02:45 – Short Abstract 4 Marco Bolis (Istituto si Ricerche Farmacologiche Mario Negri IRCCS, Italy) – Machine learning applied to aging and cancer research.
02:53 – Short Abstract 5 Lu Zhang (Luxembourg Institute of Health, Luxemburg) – A deep learning approach for predicting neurocognitive disorders in the older general population
03:01 – Short Abstract 6 Luis Mendes (Association for Innovation and Biomedical Research on Light and Image, AIBILI, Portugal) – Automatic detection of pathological OCT volumes based on structural and OCTA metrics
03:09 – Q&A – for 3 abstracts
03:20 – Panel discussion EATRIS panel, keynote speaker – (Collaborative) opportunities for EATRIS involving AI for drug discovery and repurposing
03:40 – Spotlight Interview Short interview on Abstract with highest potential impact selected by EATRIS community
03:55 – Outlook & Adjourn Martin de Kort (EATRIS) – Concluding remarks

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