Search Results - "Rangnekar, Aakanksha"
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1
Saliva RNA biomarkers predict concussion duration and detect symptom recovery: a comparison with balance and cognitive testing
Published in Journal of neurology (01-11-2021)“…Objective The goals of this study were to assess the ability of salivary non-coding RNA (ncRNA) levels to predict post-concussion symptoms lasting ≥ 21 days,…”
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Journal Article -
2
Saliva microRNA Biomarkers of Cumulative Concussion
Published in International journal of molecular sciences (20-10-2020)“…Recurrent concussions increase risk for persistent post-concussion symptoms, and may lead to chronic neurocognitive deficits. Little is known about the…”
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Journal Article -
3
Diagnosing mild traumatic brain injury using saliva RNA compared to cognitive and balance testing
Published in Clinical and translational medicine (01-10-2020)“…Background Early, accurate diagnosis of mild traumatic brain injury (mTBI) can improve clinical outcomes for patients, but mTBI remains difficult to diagnose…”
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Journal Article -
4
Prediction of optimal contrast times post-imaging agent administration to inform personalized fluorescence-guided surgery
Published in Journal of biomedical optics (01-11-2020)“…Significance: Fluorescence guidance in cancer surgery (FGS) using molecular-targeted contrast agents is accelerating, yet the influence of individual patients’…”
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Journal Article -
5
Clinical Validation of a Cell-Free DNA Fragmentome Assay for Augmentation of Lung Cancer Early Detection
Published in Cancer discovery (01-11-2024)“…Lung cancer screening via annual low-dose computed tomography has poor adoption. We conducted a prospective case-control study among 958 individuals eligible…”
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Journal Article -
6
Identifying optimal kinetic parameters in quantitative paired-agent molecular imaging by applying computational biology techniques
Published 01-01-2016“…Accurate and sensitive discrimination of cancerous tissue from the healthy tissue has been a difficult problem to deal with, resulting in the incomplete…”
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Dissertation -
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Identifying optimal kinetic parameters in quantitative paired-agent molecular imaging by applying computational biology techniques
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Dissertation