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Challenges in Alzheimer's Disease Drug Discovery and Development: The Role of Modeling, Simulation, and Open Data

Daniela J. Conrado, Sridhar Duvvuri, Hugo Geerts, Jackson Burton, Carla Biesdorf, Malidi Ahamadi, Sreeraj Macha, Gregory Hather, Juan Francisco Morales, Jagdeep T. Podichetty, Timothy Nicholas, Diane Stephenson, Mirjam N. Trame, Klaus Romero, Brian Corrigan, the Drug Development Tools in the Alzheimer Disease Continuum (DDT‐AD) Working Group

2020Clinical Pharmacology & Therapeutics21 citationsDOI

Abstract

Alzheimer's disease (AD) is the leading cause of dementia worldwide. With 35 million people over 60 years of age with dementia, there is an urgent need to develop new treatments for AD. To streamline this process, it is imperative to apply insights and learnings from past failures to future drug development programs. In the present work, we focus on how modeling and simulation tools can leverage open data to address drug development challenges in AD.

Topics & Concepts

DementiaLeverage (statistics)Drug developmentDiseaseDrugMedicineDrug discoveryAlzheimer's diseaseData scienceComputer scienceBioinformaticsPharmacologyArtificial intelligenceBiologyPathologyStatistical Methods in Clinical TrialsComputational Drug Discovery MethodsHealth Systems, Economic Evaluations, Quality of Life