Evidence map›Paper›PMID 39284102›Full record

ReviewAnnual review of pharmacology and toxicology2025

Next-Gen Therapeutics: Pioneering Drug Discovery with iPSCs, Genomics, AI, and Clinical Trials in a Dish.

Zehra Yildirim, Kyle Swanson, Xuekun Wu, James Zou, Joseph Wu

Abstract readReview
In one paragraph

Review in Annual review of pharmacology and toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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  3. Article
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  6. Article
  7. Deep Learning-Powered Scalable Cancer Organ Chip for Cancer Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Gene Therapy for Inherited Cardiac Arrhythmias.Journal of cardiovascular translational research · 2025
    Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Advancements in theFrontiers in toxicology · 2025
    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

5 authors.

Zehra YildirimStanford Cardiovascular Institute and Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA; email: joewu@stanford.edu.
Kyle SwansonGreenstone Biosciences, Palo Alto, California, USA.
Xuekun WuStanford Cardiovascular Institute and Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA; email: joewu@stanford.edu.
James ZouDepartment of Computer Science, Stanford University, Stanford, California, USA.
Joseph WuStanford Cardiovascular Institute and Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA; email: joewu@stanford.edu.

Funding

Project 3 (Mercola)P01HL141084 · NHLBI · STANFORD UNIVERSITY · PI Joseph C. Wu · 2019 to 2026
$21.1M
Human iPSCs for Elucidating Intercellular Crosstalk Signaling in Dilated CardiomyopathyR01HL141371 · NHLBI · STANFORD UNIVERSITY · PI WONG, WING H., WU, JOSEPH C. · 2018 to 2025
$6.2M
Modeling Tyrosine Kinase Inhibitor-Induced Vascular Dysfunction Using Human iPSCsR01HL141851 · NHLBI · STANFORD UNIVERSITY · PI WONG, WING H., WU, JOSEPH C. · 2018 to 2025
$5.7M
Single Cell Sequencing of Human iPSC-CM Subtype Identity and FunctionR01HL145676 · NHLBI · STANFORD UNIVERSITY · PI MARK MERCOLA, Joseph C. Wu · 2019 to 2026
$5.1M
High Mechanical Shear Stress-Induced Neutrophil Dysfunction in Mechanically Assisted CirculationR01HL171120 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI Zhongjun Jon Wu · 2024 to 2026
$1.8M
NHLBI NIH HHS P01 HL141084NHLBI NIH HHS R01 HL141371NHLBI NIH HHS R01 HL141851NHLBI NIH HHS R01 HL145676NHLBI NIH HHS R01 HL171120
6 · The paper itself

Abstract

In the high-stakes arena of drug discovery, the journey from bench to bedside is hindered by a daunting 92% failure rate, primarily due to unpredicted toxicities and inadequate therapeutic efficacy in clinical trials. The FDA Modernization Act 2.0 heralds a transformative approach, advocating for the integration of alternative methods to conventional animal testing, including cell-based assays that employ human induced pluripotent stem cell (iPSC)-derived organoids, and organ-on-a-chip technologies, in conjunction with sophisticated artificial intelligence (AI) methodologies. Our review explores the innovative capacity of iPSC-derived clinical trial in a dish models designed for cardiovascular disease research. We also highlight how integrating iPSC technology with AI can accelerate the identification of viable therapeutic candidates, streamline drug screening, and pave the way toward more personalized medicine. Through this, we provide a comprehensive overview of the current landscape and future implications of iPSC and AI applications being navigated by the research community and pharmaceutical industry.

Indexed as

Artificial IntelligenceDrug DiscoveryGenomicsInduced Pluripotent Stem CellsAnimalsClinical Trials as TopicDrug Evaluation, PreclinicalHumansOrganoidsPrecision Medicinecardiotoxicityclinical trials in a dishdrug discoveryiPSC

Identifiers

PMID39284102
PMCPMC12011342

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.