Evidence map›Paper›PMID 40843409›Full record

ArticleCurrent opinion in biomedical engineering2025

Advancing cell therapies with artificial intelligence and synthetic biology.

Mahima Choudhury, Annika J Deans, Daniel R Candland, Tara L Deans

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current opinion in biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Mahima ChoudhuryDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
Annika J DeansDepartment of Biomedical Engineering, University of Rochester, Rochester, NY, USA.
Daniel R CandlandDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
Tara L DeansDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.

Funding

Engineered platelets for the targeted destruction of circulating tumor cells - Administrative SupplementDP2CA250006 · NCI · UNIVERSITY OF UTAH · PI DEANS, TARA LYNN · 2019 to 2022
$2.4M
Synthetic circuits for therapeutic platelet production and immunomodulationR01EB033851 · NIBIB · UNIVERSITY OF UTAH · PI Tara Lynn Deans · 2023 to 2026
$1.4M
Engineering novel delivery systems with synthetic biologyR21EB025413 · NIBIB · UNIVERSITY OF UTAH · PI DEANS, TARA LYNN · 2018 to 2020
$609k
NCI NIH HHS DP2 CA250006NIBIB NIH HHS R01 EB033851NIBIB NIH HHS R21 EB025413
6 · The paper itself

Abstract

Artificial intelligence provides an exciting avenue to improve approaches in cell therapies by learning and predicting dynamic gene expression patterns from large datasets of stem cell differentiation. The integration of synthetic biology provides genetic tools that mimic the spatial and temporal expression patterns during differentiation, enhancing the potential to significantly improve differentiation outcomes and further our understanding of the mechanisms involved during cell fate decisions.

Indexed as

Artificial intelligenceCell therapyMachine learningSynthetic biology

Identifiers

PMID40843409
PMCPMC12366578

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.