“AI could enhance cancer care and lead to personalized treatment based on age, among other patient-specific characteristics.”
BUFFALO, NY- December 6, 2023 – A new editorial paper was published in Aging (listed by MEDLINE/PubMed as “Aging (Albany NY)” and “Aging-US” by Web of Science) Volume 15, Issue 22, entitled, “Artificial intelligence for aging research in cancer drug development.”
Aging is a multifactorial and complex process associated with various diseases, including cancer. In light of the growing aging population, the need for effective cancer treatments is more significant than ever. Artificial intelligence (AI) is playing an increasingly crucial role in aging research and cancer drug development in revealing the critical drivers of outcomes among a wide range of intrinsic and extrinsic factors.
In recent years, the use of AI in aging research has been rapidly increasing, suggesting that AI-based analysis of healthcare data may enhance clinical care. In this new editorial, researchers Dorsa Shirini, Lawrence H. Schwartz and Laurent Dercle from Columbia University Medical Center provide an overview of the potential benefits as well as the technical caveats of adopting AI to help researchers identify new targets, develop more effective therapies, and accelerate the discovery process of drug development in the context of aging research.
“In this review, we discuss how we could leverage AI technologies to consider a patient’s unique aging profile and tailor cancer treatment more precisely to the individual. This approach would help optimize treatment outcomes, minimize treatment-related risks, and improve the overall quality of care for patients, considering the complex interplay between aging and cancer treatment response.”
Read the full paper: DOI: https://doi.org/10.18632/aging.204914
Corresponding Author: Laurent Dercle
Corresponding Email: [email protected]
Keywords: artificial intelligence, aging, cancer research
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About Aging: Launched in 2009, Aging (Aging-US) publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.
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