ReviewCurrent cardiology reports2025
Human iPSC-Based in Vitro Cardiovascular Tissue Models for Drug Screening Applications.
Review in Current cardiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purpose of reviewTo provide an overview of human induced pluripotent stem cell (hiPSC)-derived cardiovascular lineages and describe their impact on drug testing in vitro. RECENT
findingshiPSCs have garnered tremendous interest over the last decade due to their potential for unlimited proliferation and differentiation into cardiovascular lineages. Technologies using tissue engineering, 3D bioprinting, and organ-on-a-chip platforms composed of hiPSC derivatives can produce cardiovascular tissue mimetics that enhance drug screening applications. hiPSC-derived cardiovascular lineages advance drug screening efforts by using autologous cells that are more therapeutically relevant. Established approaches to reproducibly generate hiPSC-derived cardiovascular lineages and their subsequent organization into 3D constructs more accurately mimic the physiological organization of cardiac tissue, leading to improved identification of potential drug targets for therapeutic testing.
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Registered trials
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.