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research article

Latest advances in aging research and drug discovery

Bakula, Daniela
•
Ablasser, Andrea  
•
Aguzzi, Adriano
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November 30, 2019
Aging-Us

An increasing aging population poses a significant challenge to societies worldwide. A better understanding of the molecular, cellular, organ, tissue, physiological, psychological, and even sociological changes that occur with aging is needed in order to treat age-associated diseases. The field of aging research is rapidly expanding with multiple advances transpiring in many previously disconnected areas. Several major pharmaceutical, biotechnology, and consumer companies made aging research a priority and are building internal expertise, integrating aging research into traditional business models and exploring new go-to-market strategies. Many of these efforts are spearheaded by the latest advances in artificial intelligence, namely deep learning, including generative and reinforcement learning. To facilitate these trends, the Center for Healthy Aging at the University of Copenhagen and Insilico Medicine are building a community of Key Opinion Leaders (KOLs) in these areas and launched the annual conference series titled "Aging Research and Drug Discovery (ARDD)" held in the capital of the pharmaceutical industry, Basel, Switzerland (www.agingpharma.org). This ARDD collection contains summaries from the 6th annual meeting that explored aging mechanisms and new interventions in age-associated diseases. The 7th annual ARDD exhibition will transpire 2nd-4th of September, 2020, in Basel.

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Type
research article
DOI
10.18632/aging.102487
Web of Science ID

WOS:000499683800006

Author(s)
Bakula, Daniela
•
Ablasser, Andrea  
•
Aguzzi, Adriano
•
Antebi, Adam
•
Barzilai, Nir
•
Bittner, Martin-Immanuel
•
Jensen, Martin Borch
•
Calkhoven, Cornelis F.
•
Chen, Danica
•
de Grey, Aubrey D. N. J.
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Date Issued

2019-11-30

Publisher

IMPACT JOURNALS LLC

Published in
Aging-Us
Volume

11

Issue

22

Start page

9971

End page

9981

Subjects

Cell Biology

•

Geriatrics & Gerontology

•

aging

•

drug discovery

•

artificial intelligence

•

selective-inhibition

•

metformin

•

translation

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
UPABLASSER  
Available on Infoscience
December 18, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/164065
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