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Before it is too late: professional responsibilities in late-onset Alzheimer’s research and pre-symptomatic prediction
Journal article   Open access   Peer reviewed

Before it is too late: professional responsibilities in late-onset Alzheimer’s research and pre-symptomatic prediction

Silke Schicktanz, Mark Schweda, Jesse F. Ballenger, Patrick J. Fox, Jodi Halpern, Joel H. Kramer, Guy Micco, Stephen G. Post, Charis Thompson, Robert T. Knight, …
Frontiers in human neuroscience, v 8, pp 921-921
20 Nov 2014
PMID: 25477802
url
https://doi.org/10.3389/fnhum.2014.00921View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

biomarker cultural diversity late-onset Alzheimer’s dementia medical ethics Neuroscience public engagement public health policy recommendations research participation
The development of a wide array of molecular and neuroscientific biomarkers can provide the possibility to visualize the course of Alzheimer’s disease (AD) at early stages. Many of these biomarkers are aimed at detecting not only a preclinical, but also a pre-symptomatic state. They are supposed to facilitate clinical trials aiming at treatments that attack the disease at its earliest stage or even prevent it. The increasing number of such biomarkers currently tested and now partly proposed for clinical implementation calls for critical reflection on their aims, social benefits, and risks. This position paper summarizes major challenges and responsibilities. Its focus is on the ethical and social problems involved in the organization and application of dementia research, as well as in healthcare provision from a cross-national point of view. The paper is based on a discussion of leading dementia experts from neuroscience, neurology, social sciences, and bioethics in the United States and Europe. It thus reflects a notable consensus across various disciplines and national backgrounds. We intend to initiate a debate on the need for actions within the researchers’ national and international communities.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Neurosciences
Psychology
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