IMR Press / FBL / Volume 27 / Issue 8 / DOI: 10.31083/j.fbl2708232
Open Access Review
Current Trends of Computational Tools in Geriatric Medicine and Frailty Management
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1 Faculty of Medicine, University of Thessaly, 41500 Larissa, Greece
2 Novel Global Community Educational Foundation, NSW 2770 Hebersham, Australia
3 Faculty of Medicine, University of Crete, 28403 Heraklion, Greece
4 Department of Pathophysiology, Medical School, National University of Athens, 11527 Athens, Greece
5 Department of Pharmacology & Toxicology, College of Pharmacy, Jazan University, 45142 Jazan, Saudi Arabia
6 Department of Social Studies and Arts, Novel Global Community Educational Foundation, NSW 2770 Hebersham, Australia
7 Department of Business Administration, University of West Attica, 12243 Athens, Greece
8 Department of Physics and Computer Science, Wilfrid Laurier University, Waterloo, ON N2L-3C5, Canada
9 Department of Mathematics, Northern Virginia Community College, 21200 Campus Drive, Sterling, VA 20164-8699, USA
10 School of Human Sciences, College of Life and Natural Sciences, University of Derby, DE22 1GB Derby, UK
11 Department of Biotechnology, School of Engineering & Technology (SET), Sharda University, 201310 Greater Noida, Uttar Pradesh, India
12 Department of Biotechnology, School of Applied & Life Sciences (SALS), Uttaranchal University, 248007 Dehradun, India
13 Department of Pharmacy, Southeast University, 1213 Dhaka, Bangladesh
14 Pharmakon Neuroscience Research Network, 1341 Dhaka, Bangladesh
15 West China School of Nursing/Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, 610041 Chengdu, Sichuan, China
16 King Fahd Medical Research Center, King Abdulaziz University, 21589 Jeddah, Saudi Arabia
17 Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, 1341 Dhaka, Bangladesh
18 Enzymoics, Peterlee Place, NSW 2770 Hebersham, Australia
19 Pre-Clinical Research Unit, King Fahd Medical Research Center, King Abdulaziz University, 22254 Jeddah, Saudi Arabia
20 Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, 22254 Jeddah, Saudi Arabia
21 Department of Science and Engineering, Novel Global Community Educational Foundation, NSW 2770 Hebersham, Australia
22 AFNP Med Austria, 1030 Wien, Austria
*Correspondence: alextha@yahoo.gr; alexiou@ngcef.net (Athanasios Alexiou); ashraf.gm@gmail.com; gashraf@kau.edu.sa (Ghulam Md Ashraf)
Academic Editor: Graham Pawelec
Front. Biosci. (Landmark Ed) 2022, 27(8), 232; https://doi.org/10.31083/j.fbl2708232
Submitted: 29 January 2021 | Revised: 25 February 2021 | Accepted: 24 March 2021 | Published: 29 July 2022
Copyright: © 2022 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

While frailty corresponds to a multisystem failure, geriatric assessment can recognize multiple pathophysiological lesions and age changes. Up to now, a few frailty indexes have been introduced, presenting definitions of psychological problems, dysregulations in nutritional intake, behavioral abnormalities, and daily functions, genetic, environmental, and cardiovascular comorbidities. The geriatric evaluation includes a vast range of health professionals; therefore, we describe a broad range of applications and frailty scales-biomarkers to investigate and formulate the relationship between frailty lesions, diagnosis, monitoring, and treatment. Additionally, artificial intelligence applications and computational tools are presented, targeting a more efficacy individualized geriatric management of healthy aging.

Keywords
aging
artificial intelligence
bioinformatics
brain-computer interface
dementia
expert systems
frailty
geriatrics
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