Creating an engine of scientific discovery, an Indo-Japan perspective: learnings from IJNTC 2025 workshop
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 · npj Systems Biology and Applications · 2026
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.