Latest advances in aging research and drug discovery.

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ID: 69269
2019
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Abstract
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 6 annual meeting that explored aging mechanisms and new interventions in age-associated diseases. The 7 annual ARDD exhibition will transpire 2-4 of September, 2020, in Basel.
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bakula2019latestaging Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bakula, Daniela;Ablasser, Andrea;Aguzzi, Adriano;Antebi, Adam;Barzilai, Nir;Bittner, Martin-Immanuel;Jensen, Martin Borch;Calkhoven, Cornelis F;Chen, Danica;Grey, Aubrey D N J de;Feige, Jerome N;Georgievskaya, Anastasia;Gladyshev, Vadim N;Golato, Tyler;Gudkov, Andrei V;Hoppe, Thorsten;Kaeberlein, Matt;Katajisto, Pekka;Kennedy, Brian K;Lal, Unmesh;Martin-Villalba, Ana;Moskalev, Alexey A;Ozerov, Ivan;Petr, Michael A;Reason, ;Rubinsztein, David C;Tyshkovskiy, Alexander;Vanhaelen, Quentin;Zhavoronkov, Alex;Scheibye-Knudsen, Morten;
Journal Aging
Year 2019
DOI
10.18632/aging.102487
URL
Keywords
artificial intelligence aging drug discovery

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