Evidence map›Paper›PMID 39912678›Full record

ArticleClinical and translational science2025

AI In Action: Redefining Drug Discovery and Development.

Anshul Kanakia, Mark Sale, Liang Zhao, Zhu Zhou

Abstract read
In one paragraph

Article in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
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

4 authors.

Anshul KanakiaCenter for AI, Data Science & AI, Biopharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, USA.
Mark SaleCertara, Radnor, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-6239-2359
Liang ZhaoDepartment of Bioengineering and Therapeutics Sciences, School of Pharmacy and Medicine, University of California San Francisco, San Francisco, California, USA.
Zhu ZhouDepartment of Chemistry, York College, City University of New York, New York, New York, USA.

Funding

Quantifying effects of comorbidities and genetics on cannabinoid exposure in the elderlyR16GM146679 · NIGMS · YORK COLLEGE · PI ZHOU, ZHU · 2022 to 2025
$795k
NIGMS NIH HHS R16 GM146679
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceclinical researchdrug developmentdrug discovery

Identifiers

PMID39912678
PMCPMC11800368

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.