Towards AI-driven longevity research: An overview

While in the past technology has mostly been utilized to store information about the structural configuration of proteins and molecules for research and medical purposes, Artificial Intelligence is nowadays able to learn from the existing data how to predict and model properties and interactions, re...

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Veröffentlicht in:	Frontiers in aging Jg. 4; S. 1057204
Hauptverfasser:	Marino, Nicola, Putignano, Guido, Cappilli, Simone, Chersoni, Emmanuele, Santuccione, Antonella, Calabrese, Giuliana, Bischof, Evelyne, Vanhaelen, Quentin, Zhavoronkov, Alex, Scarano, Bryan, Mazzotta, Alessandro D., Santus, Enrico
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 01.03.2023
Schlagworte:	Aging artificial intelligence biomarkers deep aging clock feature selection longevity medicine machine learning deep aging clock machine learning biomarkers longevity medicine artificial intelligence feature selection
ISSN:	2673-6217, 2673-6217
Online-Zugang:	Volltext
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