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Connecting the dots: A Practical Guide to Computational Hypergraph Discovery

19 minute read

Published:

This post introduces Computational Hypergraph Discovery (CHD), a novel method for uncovering unknown functional relationships between variables within datasets. We’ll demonstrate the CHD approach with a practical application, the Sachs Gene DataSet. To bridge the gap between the theory from our paper and practice, we provide code snippets that help translate the underlying mathematical principles into actionable steps for data analysis. Read more

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publications

Development and Assessment of an Artificial Intelligence-Based Tool for Ptosis Measurement in Adult Myasthenia Gravis Patients Using Selfie Video Clips Recorded on Smartphones

Published in Digital Biomarkers, 2023

My first paper ! This paper describes the work we did at Doc.ai for ShareCare on Myasthenia gravis (MG) with UCB. We devellopped a Deep Learning model based on ResNet50 to predict a key symptom of MG via selfie. This would allow clinical trials to accept more patients as part of a study in order to scale it, as well as follow almost in real time the evolution of a patients symptoms using an app on their phone. Read more

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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

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Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.

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