Evidence map›Paper›PMID 35449140›Full record

ArticleNature communications2022

AI-enabled, implantable, multichannel wireless telemetry for photodynamic therapy.

Woo Seok Kim, M Ibrahim Khot, Hyun-Myung Woo, Sungcheol Hong, Dong-Hyun Baek, Thomas Maisey, Brandon Daniels, P Louise Coletta, Byung-Jun Yoon, David G Jayne and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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

21 citing papers in PubMed, 52 citations in OpenAlex.

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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

11 authors at 4 institutions in 3 countries.

Woo Seok Kim *Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.ORCID 0000-0002-3075-1847
M Ibrahim Khot *Leeds Institute of Medical Research, University of Leeds, Leeds, UK.ORCID 0000-0002-5062-2284
Hyun-Myung Woo *Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
Sungcheol HongDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.ORCID 0000-0003-2168-2971
Dong-Hyun BaekDepartment of Display and Semiconductor Engineering, Sun Moon University, Asan-si, Republic of Korea.
Thomas MaiseyLeeds Institute of Medical Research, University of Leeds, Leeds, UK.ORCID 0000-0003-1555-7699
Brandon DanielsDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
P Louise ColettaLeeds Institute of Medical Research, University of Leeds, Leeds, UK.
Byung-Jun YoonDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. bjyoon@ece.tamu.edu.ORCID 0000-0001-9328-1101
David G JayneLeeds Institute of Medical Research, University of Leeds, Leeds, UK. D.G.Jayne@leeds.ac.uk.ORCID 0000-0002-8725-3283
Sung Il ParkDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. sipark@tamu.edu.ORCID 0000-0003-0001-8967
Texas A&M University · USUniversity of Leeds · GBBrookhaven National Laboratory · USSun Moon University · KR

Funding

Department of HealthWellcome Trust 204825/Z/16/Z
6 · The paper itself

Abstract

Photodynamic therapy (PDT) offers several advantages for treating cancers, but its efficacy is highly dependent on light delivery to activate a photosensitizer. Advances in wireless technologies enable remote delivery of light to tumors, but suffer from key limitations, including low levels of tissue penetration and photosensitizer activation. Here, we introduce DeepLabCut (DLC)-informed low-power wireless telemetry with an integrated thermal/light simulation platform that overcomes the above constraints. The simulator produces an optimized combination of wavelengths and light sources, and DLC-assisted wireless telemetry uses the parameters from the simulator to enable adequate illumination of tumors through high-throughput (<20 mice) and multi-wavelength operation. Together, they establish a range of guidelines for effective PDT regimen design. In vivo Hypericin and Foscan mediated PDT, using cancer xenograft models, demonstrates substantial suppression of tumor growth, warranting further investigation in research and/or clinical settings.

Indexed as

NeoplasmsPhotochemotherapyAnimalsArtificial IntelligenceHumansMicePhotosensitizing AgentsTelemetryPhotosensitizing Agents

Identifiers

PMID35449140
PMCPMC9023557
OpenAlexW4224285316

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.