AIMC Topic: Longevity
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Beyond artificial intelligence: exploring artificial wisdom.
International psychogeriatrics
Jun 25, 2020
BACKGROUND: The ultimate goal of artificial intelligence (AI) is to develop technologies that are best able to serve humanity. This will require advancements that go beyond the basic components of general intelligence. The term "intelligence" does no...
Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging.
Neurobiology of aging
Mar 6, 2020
Numerous studies have established that estimated brain age constitutes a valuable biomarker that is predictive of cognitive decline and various neurological diseases. In this work, we curate a large-scale brain MRI data set of healthy individuals, on...
The NAD-mitophagy axis in healthy longevity and in artificial intelligence-based clinical applications.
Mechanisms of ageing and development
Dec 5, 2019
Nicotinamide adenine dinucleotide (NAD) is an important natural molecule involved in fundamental biological processes, including the TCA cycle, OXPHOS, β-oxidation, and is a co-factor for proteins promoting healthy longevity. NAD depletion is associa...
Deep biomarkers of aging and longevity: from research to applications.
Aging
Nov 25, 2019
Multiple recent advances in machine learning enabled computer systems to exceed human performance in many tasks including voice, text, and speech recognition and complex strategy games. Aging is a complex multifactorial process driven by and resultin...
WormBot, an open-source robotics platform for survival and behavior analysis in C. elegans.
GeroScience
Nov 14, 2019
Caenorhabditis elegans is a popular organism for aging research owing to its highly conserved molecular pathways, short lifespan, small size, and extensive genetic and reverse genetic resources. Here we describe the WormBot, an open-source robotic im...
Deep Aging Clocks: The Emergence of AI-Based Biomarkers of Aging and Longevity.
Trends in pharmacological sciences
Jul 3, 2019
First published in 2016, predictors of chronological and biological age developed using deep learning (DL) are rapidly gaining popularity in the aging research community. These deep aging clocks can be used in a broad range of applications in the pha...
Artificial intelligence for aging and longevity research: Recent advances and perspectives.
Ageing research reviews
Nov 22, 2018
The applications of modern artificial intelligence (AI) algorithms within the field of aging research offer tremendous opportunities. Aging is an almost universal unifying feature possessed by all living organisms, tissues, and cells. Modern deep lea...
Robotic Services Acceptance in Smart Environments With Older Adults: User Satisfaction and Acceptability Study.
Journal of medical Internet research
Sep 21, 2018
BACKGROUND: In Europe, the population of older people is increasing rapidly. Many older people prefer to remain in their homes but living alone could be a risk for their safety. In this context, robotics and other emerging technologies are increasing...
Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework.
Scientific reports
May 10, 2017
Precision medicine approaches rely on obtaining precise knowledge of the true state of health of an individual patient, which results from a combination of their genetic risks and environmental exposures. This approach is currently limited by the lac...
Efficacy of tildipirosin metaphylaxis for the prevention of respiratory disease, otitis and mortality in pre-weaned Holstein calves.
Veterinary journal (London, England : 1997)
Dec 12, 2016
The aim of this study was to evaluate the efficacy of two metaphylactic approaches (long acting antibiotic injected once at 10 days of life or twice at 10 and 35 days of life) on the prevention of bovine respiratory disease (BRD), otitis and mortalit...
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