From tissue to network: Computational modeling of drug-refractory epilepsies

A. Romagnolo

From tissue to network: Computational modeling of drug-refractory epilepsies

A. Romagnolo

Research output: PhD Thesis › Phd-Thesis - Research and graduation internal

Abstract

This thesis investigates the pathobiology of drug-resistant epilepsies, including mTORopathies and temporal lobe epilepsy with hippocampal sclerosis (TLE-HS), using machine learning and data-driven frameworks. By modeling transcriptional profiles from patient-derived tissues, Chapter 2 identifies a global molecular signature of epilepsies. It highlights hallmarks such as

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Amsterdam
Supervisors/Advisors	Aronica, Prof.dr., Supervisor Mills, J. D., Co-supervisor, External person van Vliet, Erwin, Co-supervisor
Award date	14 Mar 2025
Print ISBNs	9789464736953
Publication status	Published - 2025

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Cite this

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abstract = "This thesis investigates the pathobiology of drug-resistant epilepsies, including mTORopathies and temporal lobe epilepsy with hippocampal sclerosis (TLE-HS), using machine learning and data-driven frameworks. By modeling transcriptional profiles from patient-derived tissues, Chapter 2 identifies a global molecular signature of epilepsies. It highlights hallmarks such as",

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AB - This thesis investigates the pathobiology of drug-resistant epilepsies, including mTORopathies and temporal lobe epilepsy with hippocampal sclerosis (TLE-HS), using machine learning and data-driven frameworks. By modeling transcriptional profiles from patient-derived tissues, Chapter 2 identifies a global molecular signature of epilepsies. It highlights hallmarks such as

M3 - Phd-Thesis - Research and graduation internal

SN - 9789464736953

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From tissue to network: Computational modeling of drug-refractory epilepsies

Abstract

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