CCL:G: AIDD Spring School - Advanced Machine Learning for Drug Discovery

 Sent to CCL by: "Igor  Tetko" [itetko|-|vcclab.org]
 Lectures are streamed online. Lectures for the next days are:
 Thursday, May 12
 Geometric Deep Learning	Silvio Giancola
 Artificial intelligence and chemical space	Jean-Louis Reymond
 Comparing and clustering synthetic route prediction	Samuel Genheden
 Explainable AI: Interpreting, explaining and visualizing deep learning
 Alessandro Antonucci, Alessandro Facchini
 Friday, May 13
 Can we learn chemical and energetic properties from molecular simulations?
 Vittorio Limongelli
 Integrative structural biology and to study the structure and dynamics of
 biomolecular complexes and in structure-based drug discovery Michael Sattler
 AI Formula Generator (Swiss Digital Innovation of the Year 2021 award)	Guillaume
 Godin
 Conformal Prediction for the Design Problem	Clara Wong-Fannjiang (Zoom)
 Monday, May 16
 Gaussian processes and sequential design of experiments	Dario Azzimonti
 The Bayesian approach: models and inference	Adam Arany
 Cell Painting assay: data analysis, reporting and applications	Axel Pahl
 Overview of toxicity prediction methods	Emilio Benfenati
 Tuesday, May 17
 Presentation of the H2020 MSCA-RISE project "VIRTUOUS"	Dario Piga and
 Gianvito Grasso
 Challenges in ML	3 short talks and brainstorming
 The program is available at:
 https://www.idsia.ch/idsia_en/highlights/events/2022/2022-05-7.html
 or
 https://ai-dd.eu/news
 See overview of previous lectures at:
 https://twitter.com/AiddOne
 Dr. Igor V. Tetko
 Group leader
 Helmholtz Munich
 http://ai-dd.eu
 http://ochem.eu