Using neuroevolution for designing soft medical devices by Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Igor Balaz, Andrew Adamatzky

“…The use of neuroevolution-based algorithms to automatically design initial sketches of soft actuators that can enable the movement of future medical devices, such as drug-delivering catheters, is proposed. …”
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From fitness trackers to medical devices: wearable technologies by Zhi Zhou

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Advanced Surface Modifications for Blood-Contacting Surfaces of Medical Devices by Zhongjun J. Wu, Narayana Garimella, Rolf Larsson, Eduard Brynda

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Application the Risk-Based Maintenance for Optimizing the Overall Medical Devices Safety by Khelood A. Mkalaf, Peter Gibson

Subjects: “…Overall Medical Device…”
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A Pharmacological and Toxicological Profile of Silver as an Antimicrobial Agent in Medical Devices by Alan B. G. Lansdown

“…Silver is used widely in wound dressings and medical devices as a broad-spectrum antibiotic. Metallic silver and most inorganic silver compounds ionise in moisture, body fluids, and secretions to release biologically active Ag+. …”
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Prototype analysis of a low-power, small-scale wearable medical device by Silva Pablo Dutra da, Filho Pedro Bertemes

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Artificial Intelligence Technique of Synthesis and Characterizations for Measurement of Optical Particles in Medical Devices by Walid Theib Mohammad, Sherin Hassan Mabrouk, Rania Mohammed Abd Elgawad Mostafa, Mohammad Bani Younis, Ahmad Maher Al Sayeh, Mona Abdelmoneim Abdelmabood Ebrahim, Samar Zuhair Alshawwa, Heba Abdelazezm Hassan Ismail, Manal Mahrous Abdalhamed Mohamed, Sara Wans Alshmmry, Malik Bader Alazzam, Md Kawser Ahmed

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COVID-19 and the Medical Devices in India: Trade for a Resilient Health System by Ravinder Jha, Diwas Saun, Indrani Gupta

Subjects: “…medical devices…”
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Quality Improvement of Polycarbonate Medical Device by Moldex3D and Taguchi DOE by Upoma Saha, Wael Mokhtar

Subjects: “…medical device…”
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A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration by Victor Barbosa Slivinskis, Isabela Agi Maluli, Joshua Seth Broder

“…Methods: We identified recalled medical devices (RMD) and non-recalled medical devices (NRMD) using the FDA’s website and online database. …”
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Three-dimensional histological imaging of primate brain and correlation with in vivo medical device images by Julien Dauguet

“…Thanks to this technique, it becomes possible to restore the spatial consistency of the brain and to match accurately histological slices with an in vivo medical device image such as an MRI or a PET scan. This is of high interest since it allows direct comparison between the histology, often considered as the gold standard in terms of information, and the same medical devices used in clinical routine to image human patients. …”
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Evaluation of Antibiotic Resistance and Biofilm Production among Clinical Strain Isolated from Medical Devices by Veronica Folliero, Gianluigi Franci, Federica Dell’Annunziata, Rosa Giugliano, Francesco Foglia, Rossella Sperlongano, Anna De Filippis, Emiliana Finamore, Massimiliano Galdiero

“…Microbial biofilms pose a serious threat to patients requiring medical devices (MDs). Prolonged periods of implantation carry a high risk of device-related infections (DRIs). …”
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Effect of Rating Modification on a Fuzzy-Based Modular Architecture for Medical Device Design and Development by Celestine C. Aguwa, Leslie Monplaisir, Prasanth A. Sylajakumari

“…The goal of this research is to determine the effect of customer ratings on the optimal number of modules for medical device design. Medical devices have a 90% failure rate in their first prototype tests according to the international testing body, Intertek. …”
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Medical Device-Associated Candida Infections in a Rural Tertiary Care Teaching Hospital of India by Sachin C. Deorukhkar, Santosh Saini

“…Approximately, about half all cases of HCAIs are associated with medical devices. As Candida medical device-associated infection is highly drug resistant and can lead to serious life-threatening complications, there is a need of continuous surveillance of these infections to initiate preventive and corrective measures. …”
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Survey of Notified Bodies reveals very limited use of conditional certification for high-risk medical devices by A. Dobrzynska, J. C. Rejon-Parrilla, D. Epstein, J. Aranda-López, A. G. Fraser, J. A. Blasco-Amaro

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Multiscale characterization of medical devices and pharmaceutical formulations with 3D X-ray microscopy and computed tomography by Herminso Villarraga-Gómez, Ria L. Mitchell

“…However, inspecting medical devices and pharmaceutical compounds, especially their interior, is challenging with traditional measurement systems, making X-ray imaging a valuable non-destructive method for examining their internal structures. …”
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CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software by Frank E. Rademakers, Elisabetta Biasin, Nico Bruining, Enrico G. Caiani, Rhodri H. Davies, Stephen H. Gilbert, Eric Kamenjasevic, Gearóid McGauran, Gearóid O’Connor, Jean-Baptiste Rouffet, Baptiste Vasey, Alan G. Fraser

“…Abstract The European CORE–MD consortium (Coordinating Research and Evidence for Medical Devices) proposes a score for medical devices incorporating artificial intelligence or machine learning algorithms. …”
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Multi-Scale Characterisation and Mechanical Adhesion in PVD-Deposited Ca-SZ Coating for Implantable Medical Devices by Alex Tchinda, Richard Kouitat-Ndjiwa, Pierre Bravetti

“…Oral implantology faces a multitude of technical challenges in light of current clinical experience, underlining the need for innovation in implantable medical devices in both mechanical and biological terms. …”
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Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology by Ayako Yagahara, Masahito Uesugi, Hideto Yokoi

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Reflections on the US FDA's Warning on Direct-to-Consumer Genetic Testing by Seon-Hee Yim, Yeun-Jun Chung

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