Latest advances in aging research and drug discovery

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Documents

  • Andrea Ablasser
  • Adriano Aguzzi
  • Adam Antebi
  • Nir Barzilai
  • Martin Immanuel Bittner
  • Martin Borch Jensen
  • Cornelis F. Calkhoven
  • Danica Chen
  • Aubrey D.N.J. de Grey
  • Jerome N. Feige
  • Anastasia Georgievskaya
  • Vadim N. Gladyshev
  • Tyler Golato
  • Andrei V. Gudkov
  • Thorsten Hoppe
  • Matt Kaeberlein
  • Pekka Katajisto
  • Brian K. Kennedy
  • Unmesh Lal
  • Ana Martin-Villalba
  • Alexey A. Moskalev
  • Ivan Ozerov
  • Reason
  • David C. Rubinsztein
  • Alexander Tyshkovskiy
  • Quentin Vanhaelen
  • Alex Zhavoronkov

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.

Original languageEnglish
JournalAging
Volume11
Issue number22
Pages (from-to)9971-9981
Number of pages11
ISSN1945-4589
DOIs
Publication statusPublished - 2019

    Research areas

  • Aging, Artificial intelligence, Drug discovery

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