Creating an engine of scientific discovery, an Indo-Japan perspective: learnings from IJNTC 2025 workshop

npj Systems Biology and Applications 2026 Open access

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Authors: Sucheendra K. Palaniappan, Moreno Zolfo, Satish Kottapalli, Ajay Sethi, Johan Nyström-Persson, Daniel Evans-Yamamoto, Jihun Choi, Anton Kratz, Srinivas Padmanabhan, Ryota Yamada, Yosuke Ozawa, Natalia Polouliakh
+8 more Ashwini Patil, Manas Kala, Tavpritesh Sethi, Ganesh Bagler, Jun Seita, Samik Ghosh, Ravindranath Kancherla, Hiroaki Kitano
DOI: 10.1038/s41540-026-00714-2
Cited by: 1
References: 19

Abstract

The Nobel Turing Challenge (NTC) proposes AI systems capable of autonomous, Nobel-level scientific discovery. The IJNTC2025 workshop convened researchers from India and Japan to advance this goal in health and biomedicine. This perspective synthesizes four themes: knowledge extraction, laboratory automation, hypothesis generation, and equitable healthcare applications. It identifies how Japan's robotics and precision AI expertise and India's large-scale data infrastructure and frugal innovation offer complementary strengths for collaborative progress toward the NTC.

Fields of Study & Subjects

ICT in Developing Communities AI in Service Interactions Biomedical and Engineering Education

Publication details

Journal / source
npj Systems Biology and Applications
Publisher
Springer Science and Business Media LLC
Volume
12
Issue
1
Publication date
22 April 2026
Language
EN