Literature DB >> 32729531

Artificial intelligence biosensors: Challenges and prospects.

Xiaofeng Jin1, Conghui Liu1, Tailin Xu2, Lei Su1, Xueji Zhang3.   

Abstract

Artificial intelligence (AI) and wearable sensors are two essential fields to realize the goal of tailoring the best precision medicine treatment for individual patients. Integration of these two fields enables better acquisition of patient data and improved design of wearable sensors for monitoring the wearers' health, fitness and their surroundings. Currently, as the Internet of Things (IoT), big data and big health move from concept to implementation, AI-biosensors with appropriate technical characteristics are facing new opportunities and challenges. In this paper, the most advanced progress made in the key phases for future wearable and implantable technology from biosensing, wearable biosensing to AI-biosensing is summarized. Without a doubt, material innovation, biorecognition element, signal acquisition and transportation, data processing and intelligence decision system are the most important parts, which are the main focus of the discussion. The challenges and opportunities of AI-biosensors moving forward toward future medicine devices are also discussed.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Biomarker; Healthcare; Machine learning; Wearable biosensor; Wireless communication

Mesh:

Year:  2020        PMID: 32729531     DOI: 10.1016/j.bios.2020.112412

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  13 in total

Review 1.  Field-Effect Transistor-Based Biosensors for Environmental and Agricultural Monitoring.

Authors:  Giulia Elli; Saleh Hamed; Mattia Petrelli; Pietro Ibba; Manuela Ciocca; Paolo Lugli; Luisa Petti
Journal:  Sensors (Basel)       Date:  2022-05-31       Impact factor: 3.847

2.  From a Chemotherapeutic Drug to a High-Performance Nanocatalyst: A Fast Colorimetric Test for Cisplatin Detection at ppb Level.

Authors:  Valentina Mastronardi; Mauro Moglianetti; Edoardo Ragusa; Rodolfo Zunino; Pier Paolo Pompa
Journal:  Biosensors (Basel)       Date:  2022-05-30

3.  Switchable electrochemical aptasensor for amyloid-β oligomers detection based on triple helix switch coupling with AuNPs@CuMOF labeled signaling displaced-probe.

Authors:  Xiaoying Wang; Linyu Li; Xuan Gu; Bingjia Yu; Meng Jiang
Journal:  Mikrochim Acta       Date:  2021-01-25       Impact factor: 5.833

4.  Smartphone-based surface plasmon resonance sensing platform for rapid detection of bacteria.

Authors:  Junlin Wen; Yufan Zhu; Jianbo Liu; Daigui He
Journal:  RSC Adv       Date:  2022-04-29       Impact factor: 4.036

Review 5.  Liquid Metal Based Flexible and Implantable Biosensors.

Authors:  Mingkuan Zhang; Xiaohong Wang; Zhiping Huang; Wei Rao
Journal:  Biosensors (Basel)       Date:  2020-11-10

Review 6.  Application of IoT in Healthcare: Keys to Implementation of the Sustainable Development Goals.

Authors:  Ángeles Verdejo Espinosa; José Lopez Ruiz; Francisco Mata Mata; Macarena Espinilla Estevez
Journal:  Sensors (Basel)       Date:  2021-03-26       Impact factor: 3.576

7.  Artificial intelligence and guidance of medicine in the bubble.

Authors:  Asma Akbar; Nagavalli Pillalamarri; Sriya Jonnakuti; Mujib Ullah
Journal:  Cell Biosci       Date:  2021-06-09       Impact factor: 7.133

8.  Osseosurface electronics-thin, wireless, battery-free and multimodal musculoskeletal biointerfaces.

Authors:  Le Cai; Alex Burton; David A Gonzales; Kevin Albert Kasper; Amirhossein Azami; Roberto Peralta; Megan Johnson; Jakob A Bakall; Efren Barron Villalobos; Ethan C Ross; John A Szivek; David S Margolis; Philipp Gutruf
Journal:  Nat Commun       Date:  2021-11-18       Impact factor: 14.919

Review 9.  Sensitivity-Enhancing Strategies in Optical Biosensing.

Authors:  Youngsun Kim; John Gonzales; Yuebing Zheng
Journal:  Small       Date:  2020-12-28       Impact factor: 13.281

Review 10.  Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China.

Authors:  Jiancheng Dong; Huiqun Wu; Dong Zhou; Kaixiang Li; Yuanpeng Zhang; Hanzhen Ji; Zhuang Tong; Shuai Lou; Zhangsuo Liu
Journal:  J Med Syst       Date:  2021-07-24       Impact factor: 4.460

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