Quantum computing for healthcare: A review

R Ur Rasool, HF Ahmad, W Rafique, A Qayyum… - Future Internet, 2023 - mdpi.com
In recent years, the interdisciplinary field of quantum computing has rapidly developed and
garnered substantial interest from both academia and industry due to its ability to process …

Biologicalisation in manufacturing–Current state and future trends

K Wegener, O Damm, S Harst, S Ihlenfeldt, L Monostori… - CIRP Annals, 2023 - Elsevier
Biologicalisation as the convergence of biology, engineering and information technology
offers the prospect of dramatic step change scenarios for future innovative development. A …

Ultrathin, soft, bioresorbable organic electrochemical transistors for transient spatiotemporal mapping of brain activity

M Wu, K Yao, N Huang, H Li, J Zhou, R Shi… - Advanced …, 2023 - Wiley Online Library
A critical challenge lies in the development of the next‐generation neural interface, in
mechanically tissue‐compatible fashion, that offer accurate, transient recording …

Flexible switch matrix addressable electrode arrays with organic electrochemical transistor and pn diode technology

I Uguz, D Ohayon, V Arslan, R Sheelamanthula… - Nature …, 2024 - nature.com
Due to their effective ionic-to-electronic signal conversion and mechanical flexibility, organic
neural implants hold considerable promise for biocompatible neural interfaces. Current …

Neuromorphic bioelectronic medicine for nervous system interfaces: from neural computational primitives to medical applications

E Donati, G Indiveri - Progress in Biomedical Engineering, 2023 - iopscience.iop.org
Bioelectronic medicine treats chronic diseases by sensing, processing, and modulating the
electronic signals produced in the nervous system of the human body, labeled 'neural …

[HTML][HTML] Intra-body communications for nervous system applications: Current technologies and future directions

A Vizziello, M Magarini, P Savazzi, L Galluccio - Computer Networks, 2023 - Elsevier
Abstract The Internet of Medical Things (IoMT) paradigm will enable next generation
healthcare by enhancing human abilities, supporting continuous body monitoring and …

Unicorn: Unified cognitive signal reconstruction bridging cognitive signals and human language

N Xi, S Zhao, H Wang, C Liu, B Qin, T Liu - arXiv preprint arXiv …, 2023 - arxiv.org
Decoding text stimuli from cognitive signals (eg fMRI) enhances our understanding of the
human language system, paving the way for building versatile Brain-Computer Interface …

[HTML][HTML] The effect of a Mn (III) tetrakis (4-benzoic acid) porphyrin (MnTBAP) coating on the chronic recording performance of planar silicon intracortical microelectrode …

AG Hernandez-Reynoso, BS Sturgill, GF Hoeferlin… - Biomaterials, 2023 - Elsevier
Intracortical microelectrode arrays (MEAs) are used to record neural activity. However, their
implantation initiates a neuroinflammatory cascade, involving the accumulation of reactive …

[HTML][HTML] Differential expression of genes involved in the chronic response to intracortical microelectrodes

S Song, LN Druschel, ER Chan, JR Capadona - Acta Biomaterialia, 2023 - Elsevier
Abstract Brain-Machine Interface systems (BMIs) are clinically valuable devices that can
provide functional restoration for patients with spinal cord injury or improved integration for …

Parallel genetic algorithm based common spatial patterns selection on time–frequency decomposed EEG signals for motor imagery brain-computer interface

T Luo - Biomedical Signal Processing and Control, 2023 - Elsevier
Since the nonlinear and non-stationary characteristics of electroencephalogram (EEG)
signals, motor imagery based brain-computer interface (MI-BCI) have problems of poor …