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

Year: 2026

Type: article

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.

Source: npj Systems Biology and Applications

DOI: 10.1038/s41540-026-00714-2

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, Ashwini Patil, Manas Kala, Tavpritesh Sethi, Ganesh Bagler, Jun Seita, Samik Ghosh, Ravindranath Kancherla, Hiroaki Kitano

Institutions: Systems Biology Institute, Okinawa Institute of Science and Technology Graduate University, Sony (Japan), Nagasaki University, Sony Computer Science Laboratories, Indraprastha Institute of Information Technology Delhi, RIKEN Center for Integrative Medical Sciences

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDGs: Industry, innovation and infrastructure, Partnerships for the goals

Open Access status: gold

Estimated APC paid: $3,490

Funders: Waseda University, Office of Naval Research

OpenAlex ID: W7155180586

FWCI: 1.847

Cites: 19

Cited by: 1

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