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4th AI-ML Drug Discovery Virtual Conference

4th AI-ML Drug Discovery Virtual Conference

Categories

Date of beginning

Tuesday, 26 January 2021

Duration

3 days

City

Online

Contact

Kaltrina Kastrati

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Memo

R and D and Clinical Processes for the Future: Accurate, Efficient and Cost-Effective The AI-ML: Drug Discovery Summit is the industry's definitive guide to translating the wealth of tech available to successfully implement a working and practically effective drug discovery platform. Designed with leading AI experts from R and D departments across big pharma, biotech, and academia, this year's forum features 3 days of real-world case studies and interactive discussions. As such, the 2020 AI-ML Summit will provide you with a roadmap to augmented R and D decision making with reduced failure rates, increased speed, and improved margins. This is a critical time for drug developers to make more data-driven decisions, and at the 4th AI-ML: Drug Discovery Summit you will learn how to strategically leverage AI technology to transform your pipelines, and patient's lives. Join 80+ like-minded peers who are overhauling outdated R and D processes to reflect on both successes and failures, and importantly the lessons learned along the way from the last year of implementation and utilization. URL:Brochure: https://go.evvnt.com/694981-0?pid=5569 Prices:Drug Developers - Conference Only: USD 1999.0,Drug Developers - Conference + 1 Workshop: USD 2348.0,Drug Developers - Conference + 2 Workshops: USD 2697.0,Service and Solution Providers - Conference Only: USD 2499.0,Service and Solution Providers - Conference + 1 Workshop: USD 2898.0,Service and Solution Providers - Conference + 2 Workshops: USD 3297.0,Academics - Conferece Only: USD 1799.0,Academics - Conference + 1 Workshop: USD 2098.0,Academics - Conference + 2 Workshops: USD 2397.0 Speakers: Peter Henstock, Machine Learning and AI Lead, Pfizer, Kevin Hua, Senior Manager AI/Machine Learning, Bayer, Laurent Audoly, Co-Founder, Parthenon, Paul Nioi, Senior Director Research, Alnylam Pharmaceuticals, Jagdeep Podichetty, Scientific Director for Quantitative Medicine, Critical Path Institute, Prasun Mishra, Founder, CEO, Agility Pharmaceuticals, Sakshi Sardar, Quantitative Medicine Scientist, Critical Path Institute, Uli Schmitz, Senior Director - Structural Chemistry Structural Chemistry, Gilead Sciences, Michael Frank, Senior Director, Breakthrough Change Studio, Pfizer, Rafael Depetris, Principal Scientist and Structure Based Drug Design Lead Molecular Oncology, Kadmon, Ronald Dorenbos, Former Associate Director, Materials and Innovation, Takeda, Tudor Oprea, Professor - Medicine and Chief of Translational Informatics Division and Internal Medicine, University of New Mexico, Felipe Mello, Data Scientist, Teva Pharmaceuticals, Sanna Herrgard, Competency Development Specialist, Novo Nordisk, Shameer Khader, Senior Director Data Science, AstraZeneca, Natnael Hamda, AI Research Fellow, Clinical Pharmacology, Astellas Pharma, Adrian Perez Galvan, Senior Research Scientist, Vertex, Steve Smith, Principal Computational Biology Data Scientist, Teva Pharmaceuticals, Dr Neil Thompson, Chief Scientific Officer, Healx, Katherine Matsumoto, Director, Product Management, Recursion Pharma Date and Time: On Tuesday January 26, 2021 at 8:00 am (ends Thursday January 28, 2021 at 4:00 pm)