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Smart Automation of Trial and Error to Beat Cancer Sooner
Jonas Bermeitinger
Affiliation: LABMaiTE GmbH, Freiburg im Breisgau, Germany
Keywords: Lab Automation, Artificial Intelligence (AI), Cancer Research, Personalized Therapies
Categories: Artificial Intelligence, Modeling and Simulation
DOI: 10.17160/josha.11.6.1016
Languages: English
In this essay, I reflect on my engineering work on integrating lab automation with artificial intelligence (AI) to revolutionize cancer research. This novel technology aims to use high-throughput automation to generate reproducible data and analyze it using AI, particularly reinforcement learning. This approach automates the feedback loop between experiments and analysis, finding solutions through trial and error. The aim is to manage the complexity of cancer's genetic mutations and optimize the development of personalized therapies. This essay was submitted to the BioInnovation Institute (BII) & Science Prize for Innovation in 2023.