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  • Tufts School of Medicine
  • Boston

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nicholas-camarda/README.md
  • 👋 Hi, I’m @nicholas-camarda, MD, PhD
    • 👀 I'm a Ophthalmology PGY-1 @ New England Eye Center / Tufts Medicine
    • 💾 I am interested in designing and applying machine learning methods to build more robust predictive models, risk analysis platforms, and biomarker discovery pipelines for data-driven decision making in medicine.
  • 🌱 I did my PhD investigating mitigating strategies for VEGF receptor inhibitor-induced hypertension and endothelial cell dysfunction.
  • 🔬 Current projects include uveal melanoma outcomes, retinal nonperfusion analysis in proliferative diabetic retinopathy, deep learning in histology, proteomics analysis tools, sports analytics, and reproducible research infrastructure.
  • 🔎 I’m always looking to collaborate on any project that can leverage R or Python expertise

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  1. apex2 apex2 Public

    Custom R functions for data wrangling, Fisher's combined p-value calculation, and visualizations for our manuscript.

    R

  2. endotheliosis-quantifier endotheliosis-quantifier Public

    Deep learning pipeline for automated semantic segmentation and endotheliosis quantification in glomeruli histology images using transfer learning from mitochondria electron microscopy images

    Python 1

  3. mmBayes mmBayes Public

    march madness bayesian bracket-picker

    R 1

  4. ffbayes ffbayes Public

    Python

  5. elisa_4pl elisa_4pl Public

    Execute four parameter logistic regression for the analysis of ELISA data.

    R 1

  6. uveal-melanoma uveal-melanoma Public

    Comparing clinical outcomes in uveal melanoma patients treated with Gamma Knife Stereotactic Radiosurgery (GKSRS) or Plaque Brachytherapy (PBT)

    R 1