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Anas El Fathi

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • eess.SY1
  • q-bio.QM1
ORCID 0000-0001-7837-1555

identity via Semantic Scholar / OpenAlex

most citedAttention Networks for Personalized Mealtime Insulin Dosing in People with Type 1 Diabetes

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.QM2024★ 1 cited

Attention Networks for Personalized Mealtime Insulin Dosing in People with Type 1 Diabetes

Anas El Fathi, Elliott Pryor, Marc D. Breton

Calculating mealtime insulin doses poses a significant challenge for individuals with Type 1 Diabetes (T1D). Doses should perfectly compensate for expected post-meal glucose excurs…

eess.SY2023

Intermittent Control for Safe Long-Acting Insulin Intensification for Type 2 Diabetes: In-Silico Experiment

Anas El Fathi, Mohammadreza Ganji, Dimitri Boiroux +2

Around a third of type 2 diabetes patients (T2D) are escalated to basal insulin injections. Basal insulin dose is titrated to achieve a tight glycemic target without undue hypoglyc…

cs.AI2023

Using Reinforcement Learning to Simplify Mealtime Insulin Dosing for People with Type 1 Diabetes: In-Silico Experiments

Anas El Fathi, Marc D. Breton

People with type 1 diabetes (T1D) struggle to calculate the optimal insulin dose at mealtime, especially when under multiple daily injections (MDI) therapy. Effectively, they will…

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