Evidence map›Paper›PMID 42020425›Full record

ReviewNPJ systems biology and applications2026

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 and 10 more

Abstract readReview
In one paragraph

Review in NPJ systems biology and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Sucheendra K PalaniappanThe Systems Biology Institute, Tokyo, Japan. sucheendra@sbi.jp.
Moreno ZolfoOkinawa Institute of Science and Technology Graduate University (OIST), Okinawa, Japan.
Satish KottapalliGlobal Health X, Hyderabad, India.
Ajay SethiOpen Science Stack, Bengaluru, India.
Johan Nyström-PerssonJNP Solutions, Tokyo, Japan.
Daniel Evans-YamamotoThe Systems Biology Institute, Tokyo, Japan.
Jihun ChoiSony AI, Tokyo, Japan.
Anton KratzDEJIMA Infectious Disease Research Alliance, Nagasaki University, Nagasaki, Japan.
Srinivas PadmanabhanSRM Technologies Private Limited, Chennai, India.
Ryota YamadaFuku Inc., Tokyo, Japan.
Yosuke OzawaEpistra Inc., Tokyo, Japan.
Natalia PolouliakhSony Computer Science Laboratories, Tokyo, Japan.
Ashwini PatilCombinatics Inc., Chiba, Japan.
Manas KalaVeritus AI, Kobe, Japan.
Tavpritesh SethiIndraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India.
Ganesh BaglerIndraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India.
Jun SeitaRIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Samik GhoshThe Systems Biology Institute, Tokyo, Japan.
Ravindranath KancherlaGlobal Institute for Research & Innovation, Hyderabad, India.
Hiroaki KitanoThe Systems Biology Institute, Tokyo, Japan.

Funding

Office of Naval Research (ONR) Global N629092512028
6 · The paper itself

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.

Indexed as

Artificial IntelligenceIndiaJapanRobotics

Identifiers

PMID42020425
PMCPMC13315574

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.