Evidence map›Paper›PMID 40964008›Full record

ArticleResearch square2025

Automated Computer Vision and Dose-Response Modeling Improve Throughput and Accuracy of an

Noah Bell, Andrew Buckley, Breanna Mann, Xiaopei Zhang, Adebimpe Adefolaju, Rajaneekar Dasari, Rami Darwasheh, David E Kram, Shawn Hingtgen, Andrew Satterlee

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2025. 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

5 · Who and what money

Authors and funding

10 authors.

Noah BellEshelman Innovation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Andrew BuckleyEshelman School of Pharmacy, Division of Pharmacoengineering and Molecular Pharmaceutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Breanna MannEshelman Innovation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Xiaopei ZhangEshelman School of Pharmacy, Division of Pharmacoengineering and Molecular Pharmaceutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Adebimpe AdefolajuEshelman Innovation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Rajaneekar DasariEshelman Innovation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Rami DarwashehEshelman School of Pharmacy, Division of Pharmacoengineering and Molecular Pharmaceutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
David E KramDivision of Pediatric Hematology-Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Shawn HingtgenEshelman School of Pharmacy, Division of Pharmacoengineering and Molecular Pharmaceutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Andrew SatterleeEshelman Innovation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

CTSA K12 Program at UNCK12TR004416 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michelle Hernandez, Jonathan J Juliano · 2023 to 2026
$6.5M
A consortium effort to translate therapies for neurological diseases via an ex vivo organotypic platformU01TR003715 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BALDWIN, ALBERT SIDNEY, FLORES, CATHERINE T · 2021 to 2024
$4.6M
NCATS NIH HHS K12 TR004416NCATS NIH HHS U01 TR003715
6 · The paper itself

Abstract

Functional Precision Medicine platforms, which investigate the dynamic behavior of a patient's tumor

Indexed as

automationComputer visionfunctional precision medicinemachine learningpatient-derived

Identifiers

PMID40964008
PMCPMC12440077

What OpenQuestion 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 OpenQuestion graph.