2023
DOI: 10.1007/s00417-023-06100-6
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Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review

Aidan Pucchio,
Saffire H. Krance,
Daiana R. Pur
et al.
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“…1 Recently, there has been a growing interest in using cytokines in aqueous humour and vitreous collected via anterior chamber (AC) paracentesis and vitreous sampling, respectively, as surrogate markers to understand disease pathogenesis, monitor disease progression and assess treatment response. [2][3][4][5][6][7][8][9][10][11][12] Given the emerging research and clinical practices based on cytokine analysis, it is imperative to ensure that methodologies to measure cytokines are robust. Any conclusions drawn from poor handling of the ocular samples and unreliable method of cytokine quantification could potentially result in misled clinical decisions with negative outcomes.…”
Section: Introductionmentioning
confidence: 99%
“…1 Recently, there has been a growing interest in using cytokines in aqueous humour and vitreous collected via anterior chamber (AC) paracentesis and vitreous sampling, respectively, as surrogate markers to understand disease pathogenesis, monitor disease progression and assess treatment response. [2][3][4][5][6][7][8][9][10][11][12] Given the emerging research and clinical practices based on cytokine analysis, it is imperative to ensure that methodologies to measure cytokines are robust. Any conclusions drawn from poor handling of the ocular samples and unreliable method of cytokine quantification could potentially result in misled clinical decisions with negative outcomes.…”
Section: Introductionmentioning
confidence: 99%