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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月22日

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  • 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

摘要

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.