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A Computationally Assisted Approach for Designing Wearable Biosensors toward Non‐Invasive Personalized Molecular Analysis

Advanced Materials(2023)10.1002/adma.202212161Source: DataRank Database

A Computationally Assisted Approach for Designing Wearable Biosensors toward Non‐Invasive Personalized Molecular Analysis is a research paper published in Advanced Materials (2023). On theSindex it has a DataRank of 0. It has been cited 65 times.

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Open Access65 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (14)IDs (PubMed)

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Authors (8)

Minqiang Wang ORCID,Jihong Min ORCID,Yiran Yang ORCID,S. SOLOMON,Hong Han ORCID

Live enrichment

PubMed:37159949

National Science Foundation

Grant: 2145802

CAREER: Rationale Design of Autonomous Biomimetic Wearable Sensor for Personalized Molecular Monitoring of Long COVID

National Institutes of Health

Grant: R01HL155815

National Institutes of Health

Grant: R21DK13266

Office of Naval Research

Grant: N00014‐21‐1‐2483

Office of Naval Research

Grant: N00014‐21‐1‐2845

greenLicense: Wiley Online Library User Agreement

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10529901/pdf/nihms-1915716.pdf

publisherhttps://advanced.onlinelibrary.wiley.com/doi/am-pdf/10.1002/adma.202212161

publisherhttps://advanced.onlinelibrary.wiley.com/doi/pdf/10.1002/adma.202212161

https://doi.org/10.1002/adma.202212161

https://pubmed.ncbi.nlm.nih.gov/37159949

Fields of Study

MedicineEngineeringMaterials ScienceChemistry

Keywords

Molecular Docking SimulationWearable Electronic DevicesMechanics of MaterialsMechanical EngineeringHumansGeneral Materials ScienceGraphiteBiosensing TechniquesSweat620