Towards an optimal dose of AI in biomedicine and healthcare

Samik GHOSH; Takeshi HASE; Ayako YACHIE; Sucheendra Kumar PALANIAPPAN

doi:10.14869/toxpt.47.1.0_S21-2

The 47th Annual Meeting of the Japanese Society of Toxicology

Session ID : S21-2

DOI https://doi.org/10.14869/toxpt.47.1.0_S21-2

Conference information

Host: The Japanese Society of Toxicology

Name : The 47th Annual Meeting of the Japanese Society of Toxicology

Date : 2020 -

Symposium 21

Towards an optimal dose of AI in biomedicine and healthcare

*Samik GHOSH, Takeshi HASE, Ayako YACHIE, Sucheendra Kumar PALANIAPPAN

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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

The rapid advancement in new machine learning architectures in the field of artificial intelligence (AI) coupled with the availability of multi-scale data has opened novel avenues in various domains of biomedicine and healthcare - from drug discovery, clinical applications and toxicology. The talk will explore the various promises and pitfalls of AI, particularly in the context of toxicology, with use cases for success and failures, various areas of applications towards the goal of finding the right balance (optimal dose) for AI applications in biomedicine and healthcare.

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