Beyond Tissue replacement: The Emerging role of smart implants in healthcare

Abyzova, Elena; Dogadina, Elizaveta; Rodriguez, Raul D.; Petrov, Ilia; Kolesnikova, Yuliana; Zhou, Mo; Liu, Chaozong; Sheremet, Evgeniya

doi:10.1016/j.mtbio.2023.100784

Cited by 10 publications

(6 citation statements)

References 311 publications

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“…6 The RPNI not only represents a clinical milestone by leveraging the inherent regenerative properties of transected peripheral nerves to reinnervate end organ targets for improved motor signal quality and sensory feedback, but it also introduces a pioneering engineering platform. This platform has the potential to incorporate cutting-edge engineering techniques to develop neuroprosthetic devices that can seamlessly integrate with humans, including ultraflexible, smart implants to interface with the muscle graft RPNIs, 61 advanced algorithms for data processing and decoding, 62 biomimetic encoding strategies that facilitate neuron-like sensory signaling, 32 57 and dexterous robotic devices that execute precise motor commands with multiple DoFs. 63 Merging these technologies could advance current clinical research endeavors, steering toward a future of neurobionics where the boundary between both the device and the human body becomes indistinguishable 64 and ultimately improving patient outcomes.…”

Section: Regenerative Peripheral Nerve Interface Toward Neurobionicsmentioning

confidence: 99%

Merging Humans and Neuroprosthetics through Regenerative Peripheral Nerve Interfaces

Tian,

Vaskov,

Adidharma

et al. 2024

Semin Plast Surg

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Limb amputations can be devastating and significantly affect an individual's independence, leading to functional and psychosocial challenges in nearly 2 million people in the United States alone. Over the past decade, robotic devices driven by neural signals such as neuroprostheses have shown great potential to restore the lost function of limbs, allowing amputees to regain movement and sensation. However, current neuroprosthetic interfaces have challenges in both signal quality and long-term stability. To overcome these limitations and work toward creating bionic limbs, the Neuromuscular Laboratory at University of Michigan Plastic Surgery has developed the Regenerative Peripheral Nerve Interface (RPNI). This surgical construct embeds a transected peripheral nerve into a free muscle graft, effectively amplifying small peripheral nerve signals to provide enhanced control signals for a neuroprosthetic limb. Furthermore, the RPNI has the potential to provide sensory feedback to the user and facilitate neuroprosthesis embodiment. This review focuses on the animal studies and clinical trials of the RPNI to recapitulate the promising trajectory toward neurobionics where the boundary between an artificial device and the human body becomes indistinct. This paper also sheds light on the prospects of the improvement and dissemination of the RPNI technology.

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Section: Regenerative Peripheral Nerve Interface Toward Neurobionicsmentioning

confidence: 99%

Merging Humans and Neuroprosthetics through Regenerative Peripheral Nerve Interfaces

Tian,

Vaskov,

Adidharma

et al. 2024

Semin Plast Surg

View full text Add to dashboard Cite

show abstract

“…This greatly expedites the early screening phases, reducing the number of possible medication candidates that can be further examined. AI has the capability to create prediction models using extensive data, enabling researchers to forecast the pharmacokinetics, toxicity, and effectiveness of medications (53). These models can aid in the prioritization of drug candidates for subsequent research, thereby diminishing the expenses and time needed for preclinical and clinical studies and ultimately enhancing the efficacy of drug development.…”

Section: Drug Discovery and Developmentmentioning

confidence: 99%

A Perspective Review of Cancer Therapy (Part II): Adoptive Cell Transfer, Metabolic Therapy, and Artificial Intelligence

Pajuelo

2023

Sci Insights

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In recent years, there has been significant advancement in cancer therapy, with the emergence of novel and inventive methods that provide hope to patients. An advanced approach is adoptive cell transfer, which utilizes the immune system’s potential by modifying T cells to identify and eliminate cancer cells. The implementation of this individualized method has demonstrated encouraging effects across different cancer types, resulting in enhanced prognoses for numerous individuals. Metabolic therapy has emerged as a possible treatment technique, alongside adoptive cell transfer. This therapeutic method seeks to interrupt the growth and survival of cancer cells by specifically targeting their abnormal metabolism. Moreover, artificial intelligence (AI) is transforming cancer care by assisting in the identification of diseases, forecasting the likely course of illness, and devising treatment strategies. Artificial intelligence algorithms employ extensive data analysis to identify patterns and anomalies that may not be readily apparent to human specialists in isolation. Oncologists can enhance patient outcomes and reduce unwanted effects by integrating adoptive cell transfer, metabolic therapy, and AI technologies to provide personalized treatments.

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“…Moreover, theranostics can enhance patient outcomes and decrease healthcare expenses. Integrating diagnosis and therapy can prevent unnecessary treatment procedures and redundant diagnostic testing, resulting in quicker recovery periods and substantial financial savings (53). In addition, the utilization of nanoparticles enables precise drug delivery, minimizing the risk of adverse effects by specifically targeting affected areas while preserving healthy cells.…”

Section: Theranostics: Simultaneous Therapy and Diagnosismentioning

confidence: 99%

A Perspective Review of Cancer Therapy (Part I): Immunotherapy, Gene Therapy, and Nanotechnology

Pajuelo

2023

Sci Insights

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The application of genomic profiling approaches has propelled the advancement of precision medicine, enabling the development of personalized treatment programs that are specifically customized for each particular patient. This method considers the distinct genetic composition of each tumor, allowing for the detection of crucial driver mutations and possible weaknesses that might be targeted for therapeutic purposes. Furthermore, immunotherapy has emerged as a promising approach in cancer treatment, utilizing the potential of the immune system to identify and eradicate cancerous cells. Medical breakthroughs like CAR-T cell therapy have already demonstrated exceptional efficacy in treating hematologic malignancies. Moreover, state-of-the-art technologies such as CRISPR-Cas9 gene editing offer potential for directly altering tumor cells or augmenting the efficacy of current treatments. The future of cancer therapy is focused on developing more precise and targeted techniques to enhance patient outcomes and ultimately overcome this destructive illness. This involves continual research and cooperation among scientists, physicians, and pharmaceutical corporations on a worldwide level.

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Beyond Tissue replacement: The Emerging role of smart implants in healthcare

Cited by 10 publications

References 311 publications

Merging Humans and Neuroprosthetics through Regenerative Peripheral Nerve Interfaces

Merging Humans and Neuroprosthetics through Regenerative Peripheral Nerve Interfaces

A Perspective Review of Cancer Therapy (Part II): Adoptive Cell Transfer, Metabolic Therapy, and Artificial Intelligence

A Perspective Review of Cancer Therapy (Part I): Immunotherapy, Gene Therapy, and Nanotechnology

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