Machine learning for life science R&D

Presenters:

Lukas Kuerten, CPI

Emma Green, Intellegens

Thomas Bridge, Intellegens

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Machine learning methods generate insights from data to accelerate innovation in areas including drug discovery, translational medicine, formulation, and manufacturing processes. In this webinar, we’ll explore the potential and some of the challenges of applying this technology. We’ll hear a case study from Lukas Kuerten of CPI on using machine learning to predict viability of biopharmaceuticals early in development. The Intellegens team will give a live demonstration of the application of the Alchemite™ machine learning software to extract value from experimental and process data, and there will be an opportunity for Q&A.

Register at: Registration (gotowebinar.com)