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Publications associées (31)

A guide to preclinical evaluation of hydrogel-based devices for treatment of cartilage lesions

Dominique Pioletti, Peyman Karami, Theofanis Stampoultzis, Yanheng Guo

The drive to develop cartilage implants for the treatment of major defects in the musculoskeletal sys-tem has resulted in a major research thrust towards developing biomaterial devices for cartilage repair. Investigational devices for the restoration of ar ...

ELSEVIER SCI LTD2023

Medical and Personal Characteristics Can Predict the Risk of Lung Metastasis

Michele De Palma, Nahal Mansouri

Aims: Understanding the correlations between underlying medical and personal characteristics of a patient with cancer and the risk of lung metastasis may improve clinical management and outcomes. We used machine learning methodologies to predict the risk o ...

2023

Machine learning and its impact on psychiatric nosology: Findings from a qualitative study among German and Swiss experts

The increasing integration of Machine Learning (ML) techniques into clinical care, driven in particular by Deep Learning (DL) using Artificial Neural Nets (ANNs), promises to reshape medical practice on various levels and across multiple medical fields. Mu ...

2023

Radiation Performance of Antennas Implanted in Small Animals for Neuroengineering

Anja Skrivervik, Stéphanie Lacour, Mingxiang Gao, Zvonimir Sipus, Kangling Wu, James Daniel Rosenthal

Wireless data communication could improve the performance and reliability of biomedical implants used in fundamental neuroscience research by removing infection-prone transcutaneous cabling. The small size of common research animals like mice and rodents, ...

IEEE2023

Wireless Powering Efficiency of Deep-Body Implantable Devices

Anja Skrivervik, Denys Nikolayev, Zvonimir Sipus, Mingxiang Gao, Erdem Cil

The wireless power transfer (WPT) efficiency to implanted bioelectronic devices is constrained by several frequency-dependent physical mechanisms. Recent works have developed several mathematical formulations to understand these mechanisms and predict the ...

Institute of Electrical and Electronics Engineers2022

Ultra-high voltage, low power and energy recovering electronics for dielectric elastomer actuators

Raphaël Johannes Charles Mottet

Heart failure is a cardiovascular disease affecting between 1 and 2% of the population of developed countries alone - more than 10 million people - with this number bound to increase due to the ageing of the population. This condition starts to develop its ...

EPFL2022

Hardware-Friendly Random Forest Classification of iEEG Signals for Implantable Seizure Detection

Alexandre Schmid, Keyvan Farhang Razi

Early and accurate detection of epileptic seizures is an extremely important therapeutic goal due to the severity of complications it can prevent. To this end, a low-power machine learning-based seizure detection implemented on an FPGA is proposed in this ...

IEEE2022

Advances in visual prostheses: engineering and biological challenges

Diego Ghezzi, Eleonora Borda

Vision is an extraordinary sense through which we can appreciate the beauty of the world we live in, gain invaluable knowledge and communicate with others using visual expression and arts. On the contrary, blindness is a threatening medical condition disru ...

IOP Publishing Ltd2022

Performance of the new SmartCardia wireless, wearable oximeter: a comparison with arterial SaO2 in healthy volunteers

Francisco Javier Rincon Vallejos, Srinivasan Murali, Julien Pidoux

Background Our goal was to evaluate the performance of a new wearable arm located pulse oximeter. Methods Twelve volunteers were monitored with three pulse oximeters and underwent desaturation to 70% SaO(2). We compared the accuracy of SpO(2) reading from ...

BMC2022

Implantable Neuro-Modulation Devices and Technology

Alexandre Schmid

Implantable electronic medical devices that operate in closed-loop allow efficient neuro-modulation. Area and power are to be carefully balanced to improve the system autonomy and safety. New digital modulation schemes with implementation in the front-end ...

IEEE, ELECTRON DEVICES SOC & RELIABILITY GROUP2021

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A guide to preclinical evaluation of hydrogel-based devices for treatment of cartilage lesions

Dominique Pioletti, Peyman Karami, Theofanis Stampoultzis, Yanheng Guo

ELSEVIER SCI LTD2023

Medical and Personal Characteristics Can Predict the Risk of Lung Metastasis

Michele De Palma, Nahal Mansouri

2023

Machine learning and its impact on psychiatric nosology: Findings from a qualitative study among German and Swiss experts

2023