AIMC Topic: Longevity
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Would robots really bother with a bloody uprising?
Science robotics
Jul 31, 2024
In the amusing 1982 novel , robots punish their human overlords by raising prices on longevity drugs and organ transplants.
What factors preventing the older adults in China from living longer: a machine learning study.
BMC geriatrics
Jul 22, 2024
BACKGROUND: The fact that most older people do not live long means that they do not have more time to pursue self-actualization and contribute value to society. Although there are many studies on the longevity of the elderly, the limitations of tradi...
Deep Learning-Based Prognostics and Health Management Model for Pilot-Operated Cryogenic Safety Valves.
Sensors (Basel, Switzerland)
Mar 12, 2024
This paper highlights the significance of safety and reliability in modern industries, particularly in sectors like petroleum and LNG, where safety valves play a critical role in ensuring system safety under extreme conditions. To enhance the reliabi...
Brain age of rhesus macaques over the lifespan.
Neurobiology of aging
Mar 9, 2024
Through the application of machine learning algorithms to neuroimaging data the brain age methodology was shown to provide a useful individual-level biological age prediction and identify key brain regions responsible for the prediction. In this stud...
Deep learning segmentation of the choroid plexus from structural magnetic resonance imaging (MRI): validation and normative ranges across the adult lifespan.
Fluids and barriers of the CNS
Feb 29, 2024
BACKGROUND: The choroid plexus functions as the blood-cerebrospinal fluid (CSF) barrier, plays an important role in CSF production and circulation, and has gained increased attention in light of the recent elucidation of CSF circulation dysfunction i...
hART: Deep learning-informed lifespan heart failure risk trajectories.
International journal of medical informatics
Feb 19, 2024
BACKGROUND: Heart failure (HF) results in persistent risk and long-term comorbidities. This is particularly true for patients with lifelong HF sequelae of cardiovascular disease such as patients with congenital heart disease (CHD).
Deep learning segmentation of peri-sinus structures from structural magnetic resonance imaging: validation and normative ranges across the adult lifespan.
Fluids and barriers of the CNS
Feb 13, 2024
BACKGROUND: Peri-sinus structures such as arachnoid granulations (AG) and the parasagittal dural (PSD) space have gained much recent attention as sites of cerebral spinal fluid (CSF) egress and neuroimmune surveillance. Neurofluid circulation dysfunc...
Predicting lifespan-extending chemical compounds for with machine learning and biologically interpretable features.
Aging
Jul 13, 2023
Recently, there has been a growing interest in the development of pharmacological interventions targeting ageing, as well as in the use of machine learning for analysing ageing-related data. In this work, we use machine learning methods to analyse da...
The million-molecule challenge: a moonshot project to rapidly advance longevity intervention discovery.
GeroScience
Jul 11, 2023
Targeting aging is the future of twenty-first century preventative medicine. Small molecule interventions that promote healthy longevity are known, but few are well-developed and discovery of novel, robust interventions has stagnated. To accelerate l...
Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools.
Circulation research
Feb 17, 2022
Cardiovascular disease remains the leading cause of death in women. Given accumulating evidence on sex- and gender-based differences in cardiovascular disease development and outcomes, the need for more effective approaches to screening for risk fact...
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