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In this webinar, you'll hear from Paul Vauterin, the former CIO of Aelin Therapeutics, a biotech company leveraging targeted protein aggregation to develop an entirely new class of therapeutics aiming at hard-to-treat targets in cancer and infectious diseases.
And also, James Longden, Head of Discovery Biology at E-therapeutics, a biotech company that integrates computational power and biology to discover life-transforming RNAi medicines. James is focused on big data biology and machine learning to predict systems-wide changes driving the disease.
How data science and computational strategy can deliver value in drug discovery and development and pioneering an end-user approach E-therapeutics and Aelin will share how they are unlocking value.
How ONTOFORCE’s DISQOVER knowledge management solution brings insights fast to accelerate R&D decision making. Harmonizing siloed, disparate data in a flexible, easy-to-use user interface brings results quickly and at scale.
How barriers to data science adoption can be addressed and best practices for demonstrating the value to the end user. Approaches to change management and measuring the impact of solutions.
How harmonized data can unlock opportunities in AI and machine learning for drug discovery & development. A deep dive into the e-therapeutics approach of enabling data for AI, machine learning, and graph neural networks.
Knowledge graphs accelerate drug discovery – by harmonizing disparate, siloed data across biopharma companies. How DISQOVER helps to visualize the knowledge graph for non-technical users.