A5071713639- Modular Robots and Swarm Intelligence
- Evolutionary Algorithms and Applications
- Embedded Systems Design Techniques
- Antibiotics Pharmacokinetics and Efficacy
- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Cellular Automata and Applications
- Algorithms and Data Compression
- Interconnection Networks and Systems
- Parallel Computing and Optimization Techniques
- Gene expression and cancer classification
- Analytical Methods in Pharmaceuticals
- Pharmaceutical studies and practices
- Cancer therapeutics and mechanisms
- Neuroscience and Neural Engineering
- Antimicrobial Resistance in Staphylococcus
- Pneumonia and Respiratory Infections
- Genetic Associations and Epidemiology
- Computational Drug Discovery Methods
- Genetic Mapping and Diversity in Plants and Animals
- Bacterial Identification and Susceptibility Testing
- Tuberculosis Research and Epidemiology
- Quantum Information and Cryptography
- Chronic Myeloid Leukemia Treatments
- Gene Regulatory Network Analysis
HES-SO University of Applied Sciences and Arts Western Switzerland
2015-2025
Y-Parc (Switzerland)
2008-2017
Embedded Systems (United States)
2012-2015
École Normale Supérieure - PSL
2014
University of Geneva
2009
École Polytechnique Fédérale de Lausanne
2002-2007
In this paper, we present the quantum key distribution (QKD) network designed and implemented by European project SEcure COmmunication based on Quantum Cryptography (SECOQC) (2004–2008), unifying efforts of 41 research industrial organizations. The paper summarizes SECOQC approach to QKD networks with a focus trusted repeater paradigm. It discusses architecture functionality prototype, which has been put into operation in Vienna 2008 publicly demonstrated framework conference held from...
We report the first real world implementation of a Quantum Key Distribution (QKD) system over 43dB-loss transmission line in Swisscom fibre optic network.The QKD is capable continuous and autonomous operation uses coherent one-way (COW) protocol.This brings together three key concepts for future systems: simple high-speed protocol; high performance detection; integration, both at component level as well connectivity with standard networks.Here, we show laboratory field trial results this...
Abstract Background Model-informed precision dosing (MIPD) combines population pharmacokinetic knowledge with therapeutic drug monitoring (TDM) to optimize dosage adjustment. It could improve target concentration attainment over empirical TDM, still widely practised for broad-spectrum antibiotics. Objectives To evaluate the respective performance of TDM and MIPD in achieving piperacillin exposure. Methods Measurements from 80 courses intermittent infusions, each two samples, were...
A cellular hardware implementation of a spiking neural network with run-time reconfigurable connectivity is presented. It implemented on compact custom FPGA board, which provides powerful platform for and software design. Complementing the system, CPU synthesized takes care interfacing external world. The board are demonstrated in form controller embedded Khepera robot task obstacle avoidance. Finally, future implementations new multi-cellular discussed.
This paper introduces the ubichip, a custom reconfigurable electronic device capable of implementing bio- inspired circuits featuring growth, learning, and evolution. The ubichip is developed in framework Perplexus, European project that aims to develop scalable hardware platform made bio-inspired devices for simulating large-scale complex systems. In this paper, we describe configurability architectural mechanisms will allow implementation evolv- able developmental cellular neural systems...
Pharmacokinetic models can inform drug dosing of vancomycin in neonates to optimize therapy. However, the model selected needs describe intended population provide appropriate dose recommendations. Our study aims identify pharmacokinetic (PopPK) model(s) with best performance predict exposure our hospital. Relevant published PopPK for were based on demographics and strategy. The predictive was evaluated Tucuxi using a local cohort 69 neonates. Mean absolute error (MAE), relative bias (rBias)...
Multiple drug concentrations concurrent detection and quantification based on electrochemical sensors are of great importance for therapeutic monitoring (TDM) the development personalized therapy. Cyclic voltammogram (CV) results obtained by can be used to offer quantitative information about concentrations. Several approaches have been proposed single-concentration CV Machine Learning (ML) models with lower training difficulty. However, insufficient measured dataset hinders application...
Fault tolerance is a crucial operational aspect of biological systems and the self-repair capabilities complex organisms far exceeds that even most advanced electronic devices. While many processes used by nature to achieve fault cannot easily be applied silicon-based systems, in this paper we show mechanisms loosely inspired operation multicellular can transported provide capabilities. Features such as dynamic routing, reconfiguration, on-chip reprogramming invaluable for realization...
Abstract Motivation Generation of genotype data has been growing exponentially over the last decade. With large size recent datasets comes a storage and computational burden with ever increasing costs. To reduce this burden, we propose XSI, file format reduced footprint that also allows computation on compressed show how can improve future analyses. Results We xSqueezeIt (XSI) for reduction 4-20× compared BCF demonstrate its potential ‘compressive genomics’ UK Biobank whole-genome sequencing...
This paper introduces Perplexus, a European project that aims to develop scalable hardware platform made of custom reconfigurable devices endowed with bio-inspired capabilities. will enable the simulation large-scale complex systems and study emergent behaviors in virtually unbounded wireless network computing modules. The final infrastructure be used as tool for three applications: neurobiological modeling, culture dissemination cooperative collective robotics. Perplexus provide novel...
It is recommended that therapeutic monitoring of vancomycin should be guided by 24-hour area under the curve concentration. This can done via Bayesian models in dose-optimization software. However, before these incorporated into clinical practice critically ill, their predictive performance needs to evaluated. study assesses for ill.Retrospective cohort study.Single-center ICU.Data were obtained all patients ICU between 1 January, and 31 May 2020, who received IV vancomycin. The three...
Daptomycin is a candidate for therapeutic drug monitoring (TDM). The objectives of this work were to implement and compare two pharmacometric tools daptomycin TDM precision dosing. A nonparametric population PK model developed from patients with bone joint infection was implemented into the BestDose software. published parametric imported Tucuxi. We compared performance models in validation dataset based on mean error (ME) absolute percent (MAPE) individual predictions, estimated exposure...
Quantum Key Distribution (QKD) consists in the exchange of a secrete key between two distant points [1]. Even if quantum distribution systems exist and commercial are reaching market [2], there still improvements to be made: simplify construction system; increase secret rate. To this end, we present new protocol for QKD tailored work with weak coherent pulses at high bit rates [3]. The advantages system that setup is experimentally simple it tolerant reduced interference visibility photon...
Therapeutic Drug Monitoring (TDM) is a key concept in precision medicine. The goal of TDM to avoid therapeutic failure or toxic effects drug due insufficient excessive circulating concentration exposure related between-patient variability the drug's disposition. We present TUCUXI - an intelligent system for TDM. By making use embedded mathematical models, software allows compute maximum likelihood individual predictions concentrations from population pharmacokinetic data, based on patient's...
In recent years two main platforms emerged as powerful key players in the domain of parallel computing: GPUs and FPGAs. Many researches investigate interaction benefits coupling them with a general purpose processor (CPU), but very few, only recently, integrate same computational system. Even less research are focusing on direct [1]. This paper presents an open source framework enabling easy integration GPU FPGA resources; Our work provides data transfer between minimal CPU coordination at...
Background The end tuberculosis (TB) strategy requires a novel patient treatment approach contrary to the one-size-fits-all model. It is well known that each patient’s physiology different and leads various rates of drug elimination. Therapeutic monitoring (TDM) offers way manage dosage adaptation but trained pharmacologists, which scarce in resource-limited settings. Objective We will develop an automated clinical decision support system (CDSS) help practitioners with rifampicin, one...