Publications by authors named "I Meloni"

CDKL5 deficiency disorder (CDD) is a rare neurodevelopmental syndrome caused by mutations in the X-linked CDKL5 gene. Hundreds of pathogenic variants have been described, associated with a significant phenotypic heterogeneity observed among patients. To date, different knockout mouse models have been generated.

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  • Fundus images help assess retinal blood vessels non-invasively, allowing researchers to extract 17 different vascular characteristics from over 130,000 images of UK Biobank subjects.
  • Genetic studies reveal that the heritability of these vascular traits ranges from 5% to 25%, and there are distinct genetic links among the traits, indicating different biological mechanisms at play.
  • The research identifies specific vascular features linked to health issues like heart attack and suggests that factors like blood pressure and body mass index may influence retinal vessel shapes.
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  • * The study analyzed 5211 OCT scans from 344 eyes of 255 patients with CSCR, identifying 178 recurrent and 109 non-recurrent cases, using advanced AI techniques to extract relevant parameters.
  • * Nine predictive biomarkers for CSCR recurrence were found, including age, various fluid types, and specific retinal layer thicknesses, which could enhance automatic detection and improve clinical outcomes in the future.
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In clinical research, the analysis of patient cohorts is a widely employed method for investigating relevant healthcare questions. The ability to automatically extract large-scale patient cohorts from hospital systems is vital in order to unlock the potential of real-world clinical data, and answer pivotal medical questions through retrospective research studies. However, existing medical data is often dispersed across various systems and databases, preventing a systematic approach to access and interoperability.

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Recent years have ushered in a transformative era in in vitro modeling with the advent of organoids, three-dimensional structures derived from stem cells or patient tumor cells. Still, fully harnessing the potential of organoids requires advanced imaging technologies and analytical tools to quantitatively monitor organoid growth. Optical coherence tomography (OCT) is a promising imaging modality for organoid analysis due to its high-resolution, label-free, non-destructive, and real-time 3D imaging capabilities, but accurately identifying and quantifying organoids in OCT images remain challenging due to various factors.

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