Accessible high-throughput experimentation: From startup to scale | Research Arc
High-throughput experimentation can be a powerful tool in chemical research, allowing a wide range of reaction conditions, substrates, and other variables to be efficiently explored and generating large datasets that could play a role in applying machine learning methods to chemical prediction. But high-throughput experimentation can sometimes be viewed as inaccessible to the academic chemist, while also presenting unique challenges in data analysis and management.
In this virtual panel, Timothy Cernak (University of Michigan), Dani Schultz (Merck), Jacob Janey (Vertex Pharmaceuticals), and Matthew Gaunt (University of Cambridge) discuss high-throughput experimentation in chemistry and the challenges and benefits of employing it in both academia and industry.
This panel is presented by Chem, iScience, and Research Arc.
Research Arc is the perfect companion for anyone looking for targeted scientific insights that mirror the trajectory of drug development. For more, visit https://www.cell.com/research-arc.
Chem, a sister journal to Cell, provides a home for seminal and insightful research and showcases how fundamental studies in chemistry and its sub-disciplines may help in finding potential solutions to the global challenges of tomorrow. For more, visit https://www.cell.com/chem/home.
iScience is an open-access journal from Cell Press that provides a platform for original research in the life, physical, and earth sciences. For more, visit https://www.cell.com/iscience/home.
DISCUSSION
00:00 Introduction
01:27 How panelists employ HTE
07:53 Myths surrounding HTE
12:27 Automation in HTE
18:14 Data analytics and visualization
22:33 Gap between academia and industry
30:32 Sustainability of HTE
36:36 Adapting an "HTE mindset"
44:30 Next big advances
50:47 For more, visit cell.com/research-arc
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