Evidence map›Paper›PMID 40099377›Full record

ReviewBiomaterials science2025

Recent advances in non-invasive

Anika D Kulkarni, Tasneem Mukarrama, Brendan R Barlow, Jinhwan Kim

Abstract readReview
In one paragraph

Review in Biomaterials science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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

Anika D KulkarniDepartment of Biomedical Engineering, University of California, Davis, Davis, 95616, USA. jjnkim@ucdavis.edu.ORCID http://orcid.org/0009-0001-5069-4923
Tasneem MukarramaDepartment of Surgery, School of Medicine, University of California, Davis, Sacramento, 95817, USA.
Brendan R BarlowDepartment of Surgery, School of Medicine, University of California, Davis, Sacramento, 95817, USA.ORCID http://orcid.org/0009-0004-6266-0597
Jinhwan KimDepartment of Biomedical Engineering, University of California, Davis, Davis, 95616, USA. jjnkim@ucdavis.edu.ORCID http://orcid.org/0000-0003-0719-0655

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
Initiative for Maximizing Student Development at the University of California, Davis.T32GM135741 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ALDRIN V. GOMES, Manuel F Navedo · 2020 to 2026
$3.2M
Nanoparticle-augmented image-guided CAR T therapy and post-treatment assessmentR00CA263016 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KIM, JINHWAN · 2023 to 2025
$744k
NCI NIH HHS P30 CA093373NCI NIH HHS R00 CA263016NIGMS NIH HHS T32 GM135741
6 · The paper itself

Abstract

Immunotherapy has been at the forefront of cancer treatment research in recent years due to an increased understanding of the immune system's role in cancer and the substantial benefits it has demonstrated compared to conventional treatment methods. In particular, immune cell-based approaches utilizing T cells, natural killer (NK) cells, macrophages, and more have shown great potential as cancer treatments. While these treatments hold promise, there are still numerous issues that limit their clinical translation, including a lack of understanding of their mechanisms and inconsistent responses to treatment. Traditionally, tissue or blood samples are collected as a means of monitoring treatment progression. However, these

Indexed as

Cell TrackingImmunotherapyNeoplasmsAnimalsHumansMagnetic Resonance ImagingPhotoacoustic Techniques

Identifiers

PMID40099377
PMCPMC11980607

What Socratic holds

Textmetadata
LicenceTDM
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.