Recent Technological Developments in the Diagnosis and Treatment of Cerebral Edema

Deshmukh, Karthikeya P.; Dabbagh, Sajjad Rahmani; Jiang, Nan; Yetisen, Ali K.

doi:10.1002/anbr.202100001

Cited by 7 publications

(4 citation statements)

References 105 publications

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“…Magnetic fields are widely in use in biomedical applications, such as imaging (e.g., magnetic resonance imaging (MRI) 203 , 204 ), magnetic sensors 205 , and diagnosis (e.g., magnetic levitation (MagLev) 206 – 209 ). Magnetic-particle integrated microrobots can be moved by external magnetic gradients 210 – 212 .…”

Section: Methodsmentioning

confidence: 99%

3D-printed microrobots from design to translation

et al. 2022

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Microrobots have attracted the attention of scientists owing to their unique features to accomplish tasks in hard-to-reach sites in the human body. Microrobots can be precisely actuated and maneuvered individually or in a swarm for cargo delivery, sampling, surgery, and imaging applications. In addition, microrobots have found applications in the environmental sector (e.g., water treatment). Besides, recent advancements of three-dimensional (3D) printers have enabled the high-resolution fabrication of microrobots with a faster design-production turnaround time for users with limited micromanufacturing skills. Here, the latest end applications of 3D printed microrobots are reviewed (ranging from environmental to biomedical applications) along with a brief discussion over the feasible actuation methods (e.g., on- and off-board), and practical 3D printing technologies for microrobot fabrication. In addition, as a future perspective, we discussed the potential advantages of integration of microrobots with smart materials, and conceivable benefits of implementation of artificial intelligence (AI), as well as physical intelligence (PI). Moreover, in order to facilitate bench-to-bedside translation of microrobots, current challenges impeding clinical translation of microrobots are elaborated, including entry obstacles (e.g., immune system attacks) and cumbersome standard test procedures to ensure biocompatibility.

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Section: Methodsmentioning

confidence: 99%

3D-printed microrobots from design to translation

et al. 2022

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“…For instance, DL is being used in total kidney volume computation on computed tomography (CT) datasets of ADPKD patients. CT and magnetic resonance imaging (MRI) are powerful imaging tools in radiology and biomedical sciences to obtain a snapshot of metabolic changes in the living tissue [168,169]. Additionally, CNN is in use for the semantic segmentation of the MRI for diagnosing ADPKD, as well as detecting CKD from retinal photographs.…”

Section: Deep Learning Methodologies In Diagnosing Chronic Kidney Dis...mentioning

confidence: 99%

Deep Learning-Enabled Technologies for Bioimage Analysis

et al. 2022

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Deep learning (DL) is a subfield of machine learning (ML), which has recently demonstrated its potency to significantly improve the quantification and classification workflows in biomedical and clinical applications. Among the end applications profoundly benefitting from DL, cellular morphology quantification is one of the pioneers. Here, we first briefly explain fundamental concepts in DL and then we review some of the emerging DL-enabled applications in cell morphology quantification in the fields of embryology, point-of-care ovulation testing, as a predictive tool for fetal heart pregnancy, cancer diagnostics via classification of cancer histology images, autosomal polycystic kidney disease, and chronic kidney diseases.

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“…[81] Reproduced with permission from Ref. [81] The BBB-the barrier of ECs with high selectivity that shields the brain and CNS from solutes in circulating blood-is one of the challenges in delivering therapeutics to brain cancer cells, especially the GBM tumor foci, [233,234] and hence modeling the BBB will be useful for cancer studies. The TPP technology was used to bioprint a 1:1 scale microfluidic BBB chip composed of porous microcapillaries.…”

Section: Brain and Bbbmentioning

confidence: 99%

3D bioprinted organ‐on‐chips

et al. 2022

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Organ-on-a-chip (OOC) platforms recapitulate human in vivo-like conditions more realistically compared to many animal models and conventional two-dimensional cell cultures. OOC setups benefit from continuous perfusion of cell cultures through microfluidic channels, which promotes cell viability and activities. Moreover, microfluidic chips allow the integration of biosensors for real-time monitoring and analysis of cell interactions and responses to administered drugs. Three-dimensional (3D) bioprinting enables the fabrication of multicell OOC platforms with sophisticated 3D structures that more closely mimic human tissues. 3D-bioprinted OOC platforms are promising tools for understanding the functions of organs, disruptive influences of diseases on organ functionality, and screening the efficacy as well as toxicity of drugs on organs. Here, common 3D bioprinting techniques, advantages, and limitations of each method are reviewed. Additionally, recent advances, applications, and potentials of 3D-bioprinted OOC platforms for emulating various human organs are presented. Last, current challenges and future perspectives of OOC platforms are discussed. K E Y W O R D S biomaterials, bioprinting, disease-on-a-chip, microfluidics, organ-on-a-chip 1 This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Recent Technological Developments in the Diagnosis and Treatment of Cerebral Edema

Cited by 7 publications

References 105 publications

3D-printed microrobots from design to translation

3D-printed microrobots from design to translation

Deep Learning-Enabled Technologies for Bioimage Analysis

3D bioprinted organ‐on‐chips

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