Moving toward smart biomedical sensing

Naghdi, Tina; Ardalan, Sina; Adib, Zeinab Asghari; Sharifi, Amir Reza; Golmohammadi, Hamed

doi:10.1016/j.bios.2022.115009

Cited by 23 publications

(9 citation statements)

References 271 publications

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“…For instance, fluorescence-based optical sensors can detect minute quantities of mercury and chromium ions with remarkable sensitivity and selectivity. In life sciences, optical sensing technology enables researchers to observe and analyze changes at cellular, tissue, and molecular levels, finding applications in disease diagnosis and treatment [ [242] , [243] , [244] ]. For example, functionalized Pdots can bind to target molecules and generate specific frequency signals upon excitation, thus facilitating rapid quantitative detection of these targets ( Table 1 ).…”

Section: Sensing and Detectionmentioning

confidence: 99%

Semiconducting polymer dots for multifunctional integrated nanomedicine carriers

Zhang,

Yu,

et al. 2024

Materials Today Bio

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Section: Sensing and Detectionmentioning

confidence: 99%

Semiconducting polymer dots for multifunctional integrated nanomedicine carriers

Zhang,

Yu,

et al. 2024

Materials Today Bio

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“…In the 21 st century we entered an era in which a major shift in patient data collection has occurred [8]. Thanks to the rapid increase in the amount of available medical information, the dissemination of eHealth records and Electronic Medical Records (EMRs) and other emerging data sources, such as wearable devices or biobanks, the creation of large datasets has become possible [2,8,[9][10][11][12].…”

Section: Evidence-based Medicine Digital Revolutionmentioning

confidence: 99%

Evolution of Hybrid Intelligence and Its Application in Evidence-Based Medicine: A Review

et al. 2023

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Modern medicine, both in clinical practice and research, has become more and more based on data, which is changing equally in type and quality with the advent and development of healthcare digitalization. The first part of the present paper aims to present the steps through which data, and subsequently clinical and research practice, have evolved from paper-based to digital, proposing a possible future of this digitalization in terms of potential applications and integration of digital tools in medical practice. Noting that digitalization is no more a possible future, but a concrete reality, there is a strong need for a new definition of evidence-based medicine, which must take into account the progressive integration of artificial intelligence (AI) in all decisionmaking processes. So, leaving behind the traditional research concept of human intelligence versus AI, poorly adaptable to real-world clinical practice, a Human and AI hybrid model, seen as a deep integration of AI and human thinking, is proposed as a new healthcare governance system. The second part of our review is focused on some of the major challenges the digitalization process has to face, particularly privacy issues, system complexity and opacity, and ethical concerns related to legal aspects and healthcare disparities. Analyzing these open issues, we aim to present some of the future directions that in our opinion should be pursued to implement AI in clinical practice.

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“…For instance, one review focused on developing hydrogels for biosensing applications in diagnostics [79], while another concentrated on biodegradable sensors for invasive and non-invasive health monitoring [7]. Concerning the food sector, a complex While there are reviews addressing biosensors in food and health [72][73][74][75][76][77][78], there are few publications on biosensors based on sustainable materials with applications in these sectors. For instance, one review focused on developing hydrogels for biosensing applications in diagnostics [79], while another concentrated on biodegradable sensors for invasive and non-invasive health monitoring [7].…”

Section: Bacteria-mediated Synthesis Of Nanoparticlesmentioning

confidence: 99%

Biosensors in Food and Healthcare Industries: Bio-Coatings Based on Biogenic Nanoparticles and Biopolymers

Popescu

Ungureanu

2023

Coatings

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Biosensors use biological materials, such as enzymes, antibodies, or DNA, to detect specific analytes. These devices have numerous applications in the health and food industries, such as disease diagnosis, food safety monitoring, and environmental monitoring. However, the production of biosensors can result in the generation of chemical waste, which is an environmental concern for the developed world. To address this issue, researchers have been exploring eco-friendly alternatives for immobilising biomolecules on biosensors. One solution uses bio-coatings derived from nanoparticles synthesised via green chemistry and biopolymers. These materials offer several advantages over traditional chemical coatings, such as improved sensitivity, stability, and biocompatibility. In conclusion, the use of bio-coatings derived from green-chemistry synthesised nanoparticles and biopolymers is a promising solution to the problem of chemical waste generated from the production of biosensors. This review provides an overview of these materials and their applications in the health and food industries, highlighting their potential to improve the performance and sustainability of biosensors.

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Moving toward smart biomedical sensing

Cited by 23 publications

References 271 publications

Semiconducting polymer dots for multifunctional integrated nanomedicine carriers

Semiconducting polymer dots for multifunctional integrated nanomedicine carriers

Evolution of Hybrid Intelligence and Its Application in Evidence-Based Medicine: A Review

Biosensors in Food and Healthcare Industries: Bio-Coatings Based on Biogenic Nanoparticles and Biopolymers

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