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Smart materials: rational design in biosystems via artificial intelligence.
Sagdic, Kutay; Es, Ismail; Sitti, Metin; Inci, Fatih.
  • Sagdic K; National Nanotechnology Research Center (UNAM) Bilkent University, 06800 Ankara, Turkey; Institute of Materials Science and Nanotechnology, Bilkent University, 06800 Ankara, Turkey.
  • Es I; National Nanotechnology Research Center (UNAM) Bilkent University, 06800 Ankara, Turkey.
  • Sitti M; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany; School of Medicine and College of Engineering, Koç University, 34450 Istanbul, Turkey; Institute for Biomedical Engineering, Eidgenössische Technische Hochschule (ETH) Zürich, 8092 Zürich, Switz
  • Inci F; National Nanotechnology Research Center (UNAM) Bilkent University, 06800 Ankara, Turkey; Institute of Materials Science and Nanotechnology, Bilkent University, 06800 Ankara, Turkey. Electronic address: finci@bilkent.edu.tr.
Trends Biotechnol ; 40(8): 987-1003, 2022 08.
Article in English | MEDLINE | ID: covidwho-1931129
ABSTRACT
Industry 4.0 encompasses a new industrial revolution in which advanced manufacturing systems are interconnected with information technologies. These sophisticated data-gathering technologies have led to a shift toward smarter manufacturing processes involving the use of smart materials (SMs). The properties of SMs make them highly attractive for numerous biomedical applications. The integration of artificial intelligence (AI) enables them to be effectively used in the design of novel biomedical platforms to overcome shortcomings in the current biotechnology industry. This review summarizes recent advances in AI-assisted SMs for different healthcare products. The current challenges and future perspectives of AI-supported smart biosystems are also discussed, particularly with the regard to their applications in drug design, biosensors, theranostics, and electronic skins.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Wearable Electronic Devices Type of study: Prognostic study Language: English Journal: Trends Biotechnol Year: 2022 Document Type: Article Affiliation country: J.tibtech.2022.01.005

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Wearable Electronic Devices Type of study: Prognostic study Language: English Journal: Trends Biotechnol Year: 2022 Document Type: Article Affiliation country: J.tibtech.2022.01.005