Publications
410 results found
Rawson TM, Ahmad R, Toumazou C, et al., 2019, Artificial intelligence can improve decision-making in infection management, Nature Human Behaviour, Vol: 3, Pages: 543-545, ISSN: 2397-3374
Antibiotic resistance is an emerging global danger. Reaching responsible prescribing decisions requires the integration of broad and complex information. Artificial intelligence tools could support decision-making at multiple levels, but building them needs a transparent co-development approach to ensure their adoption upon implementation.
Ming D, Rawson T, Sangkaew S, et al., 2019, Connectivity of rapid-testing diagnostics and surveillance of infectious diseases (vol 97, pg 244, 2019), BULLETIN OF THE WORLD HEALTH ORGANIZATION, Vol: 97, ISSN: 0042-9686
Yu L-S, Rodriguez-Manzano J, Malpartida-Cardenas K, et al., 2019, Rapid and sensitive detection of azole-resistant Aspergillus fumigatus by tandem-repeat loop-mediated isothermal amplification, Journal of Molecular Diagnostics, Vol: 21, Pages: 286-295, ISSN: 1525-1578
Invasive human fungal infections caused by multi-azole resistant Aspergillus fumigatus are associated with increasing rates of mortality in susceptible patients. Current methods of diagnosing infections caused by multi-azole resistant A. fumigatus are, however, not well suited for use in clinical point-of-care testing or in the field. Loop-mediated isothermal amplification (LAMP) is a widely used method of nucleic acid amplification with rapid and easy-to-use features, making it suitable for use in different resource settings. Here, we developed a LAMP assay to detect a 34 bp tandem repeat, named TR34-LAMP. TR34 is a high-prevalence allele that, in conjunction with the L98H single nucleotide polymorphism, is associated with the occurrence of multi-azole resistance in A. fumigatus in the environment and in patients. This process was validated with both synthetic double stranded DNA and genomic DNA prepared from azole-resistant isolates of A. fumigatus. Use of our assay resulted in rapid and specific identification of the TR34 allele with high sensitivity, detecting down to 10 genomic copies per reaction within 25 minutes. Fluorescent and colorimetric detections were used for the analysis of 11 clinical isolates as cross validation. These results show that the TR34-LAMP assay has the potential to accelerate the screening of clinical and environmental A. fumigatus to provide a rapid and accurate diagnosis of azole resistance, which current methods struggle to achieve.
Ming D, Rawson T, Sangkaew S, et al., 2019, Connectivity of rapid-testing diagnostics and surveillance of infectious diseases, Bulletin of the World Health Organization, Vol: 97, Pages: 242-244, ISSN: 0042-9686
The World Health Organization (WHO) developed the ASSURED criteria to describe the ideal characteristics for point-of-care testing in low-resource settings: affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free and deliverable.1 These standards describe. Over the last decade, widespread adoption of point-of-care testing has led to significant changes in clinical decision-making processes. The development of compact molecular diagnostics, such as the GeneXpert® platform, have enabled short turnaround times and allowed profiling of antimicrobial resistance. Although modern assays have increased operational requirements, many devices are robust and can be operated within communities with minimal training. These new generation of rapid tests have bypassed barriers to care and enabled treatment to take place independently from central facilities. Here we describe the importance of connectivity, the automatic capture and sharing of patient healthcare data from testing, in the adoption and roll-out of rapid testing.
Miscourides N, Georgiou P, 2019, ISFET Arrays in CMOS: A Head-to-Head Comparison Between Voltage and Current Mode, IEEE SENSORS JOURNAL, Vol: 19, Pages: 1224-1238, ISSN: 1530-437X
Rodriguez-Manzano J, Moniri A, Malpartida-Cardenas K, et al., 2019, Simultaneous single-channel multiplexing and quantification of carbapenem-resistant genes using multidimensional standard curves, Analytical Chemistry, Vol: 91, Pages: 2013-2020, ISSN: 0003-2700
Multiplexing and quantification of nucleic acids, both have, in their own right, significant and extensive use in biomedical related fields. Currently, the ability to detect several nucleic acid targets in a single-reaction scales linearly with the number of targets; an expensive and time-consuming feat. Here, we propose a new methodology based on multidimensional standard curves that extends the use of real-time PCR data obtained by common qPCR instruments. By applying this novel method-ology, we achieve simultaneous single-channel multiplexing and enhanced quantification of multiple targets using only real-time amplification data. This is obtained without the need of fluorescent probes, agarose gels, melting curves or sequencing analysis. Given the importance and demand for tackling challenges in antimicrobial resistance, the proposed method is ap-plied to four of the most prominent carbapenem-resistant genes: blaOXA-48, blaNDM, blaVIM and blaKPC, which account for 97% of the UK's reported carbapenemase-producing Enterobacteriaceae.
Liu C, Avari PE, Oliver N, et al., 2019, COORDINATING LOW-GLUCOSE INSULIN SUSPENSION AND CARBOHYDRATE RECOMMENDATIONS FOR HYPOGLYCAEMIA MINIMISATION, Publisher: MARY ANN LIEBERT, INC, Pages: A85-A85, ISSN: 1520-9156
Gonzalez AG, Herrero P, Georgiou P, 2019, A CONTROLLER FOR BLOOD GLUCOSE REGULATION BASED ON MODULATION OF INSULIN SENSITIVITY IN PEOPLE WITH TYPE I DIABETES, Publisher: MARY ANN LIEBERT, INC, Pages: A48-A48, ISSN: 1520-9156
Herrero P, Reddy M, Georgiou P, et al., 2019, A BETTER CARE FOR DIABETES, Publisher: MARY ANN LIEBERT, INC, Pages: A7-A7, ISSN: 1520-9156
Uduku C, Li K, Daniiels J, et al., 2019, DEVELOPMENT OF AN ADAPTIVE, REAL-TIME, INTELLIGENT SYSTEM TO ENHANCE SELF-CARE OF CHRONIC DISEASE (ARISES), Publisher: MARY ANN LIEBERT, INC, Pages: A69-A69, ISSN: 1520-9156
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- Citations: 1
Li K, Chen J, Herrero P, et al., 2019, A DEEP NEURAL NETWORK PLATFORM FOR PREDICTING BLOOD GLUCOSE LEVELS, Publisher: MARY ANN LIEBERT, INC, Pages: A80-A80, ISSN: 1520-9156
Rawson T, Ming D, Gowers S, et al., 2019, Public acceptability of computer-controlled antibiotic management: an exploration of automated dosing and opportunities for implementation, Journal of Infection, Vol: 78, Pages: 75-86, ISSN: 0163-4453
Georgiou P, Mourkioti G, Alexandropoulos D, 2019, Impact of the excited state on the dynamics of spin-polarized quantum-dot vertical cavity surface emitting lasers
Experimental demonstrations of laser devices emulating the inhibitory and excitatory behavior of neurons by means of polarization [1] or wavelength [2] switching, advocate that lasers will play a significant role in the field of neuromorphic photonics. Manipulation of both output wavelength and polarization dynamics within a single device, offers additional degrees of freedom in terms of excitatory and inhibitory behavior of artificial neurons, but pose a challenge. This can be potentially realized by QD spin Vertical-Cavity Surface-Emitting Lasers (VCSELs) utilizing the polarization dynamics of both Ground State (GS) and Excited State (ES).The polarization dynamics of spin VCSELs have been researched extensively due to their ability to control the output polarization via either optical pumping of spin polarized carriers and/or electrical injection [3]. The research has focused primarily in Quantum Well (QW)- spin VCSELs while it has recently been extended to QD-spin VCSELs as well. However, the impact of ES on the dynamics QD spin VCSEIs has not yet been studied..
Yu LS, Rodriguez-Manzano J, Moser N, et al., 2019, A CMOS-based lab-on-chip diagnostic system for rapid detection and worldwide monitoring of azole-resistant aspergillus fumigatus, Pages: 650-651
Rapid detection of azole-resistant Aspergillus fumigatus is urgently needed to prevent the spread of resistance caused by the misuse of drugs and fungicides. Current methods for detections of azole resistance are time-consuming and lab-dependent, which delays the treatment and promotes antifungal resistance in the long term. We report a newly developed rapid and portable diagnostics method via a combination of highly specific and sensitive isothermal amplification chemistries with an integrated Lab-on-Chip (LoC) platform. Compared to current diagnostic systems, our LoC platform has several advantages: (1) The system directly identifies the tandem repeat regions, which causes resistance to azole drugs in A. fumigatus; (2) Our LoC device is faster (detection time <30 min) than any current molecular-based commercial kits, which usually takes hours from samples to results; (3) Compared to conventional PCR instruments, our platform requires no optical constituents, which enables portability and low cost; (4) Our system can be controlled by a smartphone application (app) leveraging on cloud connectivity and global positioning system (GPS) to enable worldwide azole resistance surveillance [1] (Figure 1).
Tripathi P, Moser N, Georgiou P, 2019, A Neuron-Based ISFET Array Architecture with Spatial Sensor Compensation, IEEE International Symposium on Circuits and Systems (IEEE ISCAS), Publisher: IEEE, ISSN: 0271-4302
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- Citations: 5
Rodriguez-Manzano J, Miscourides N, Malpartida-Cardenas K, et al., 2019, Rapid detection of <i>Klebsiella pneumoniae</i> using an auto-calibrated ISFET-array Lab-on-Chip platform, IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, ISSN: 2163-4025
Cacho-Soblechero M, Karolcik S, Haci D, et al., 2019, Live Demonstration: A Portable ISFET Platform for PoC Diagnosis Powered by Solar Energy, IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, ISSN: 2163-4025
Liu C, Vehí J, Avari P, et al., 2019, Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal., Sensors, Vol: 19, Pages: 4338-4338
Guemes A, Herrero P, Georgiou P, 2019, A Novel Glucose Controller Using Insulin Sensitivity Modulation for Management of Type 1 Diabetes, IEEE International Symposium on Circuits and Systems (IEEE ISCAS), Publisher: IEEE, ISSN: 0271-4302
Daniels J, Georgiou P, 2019, A Data-Driven Detection System for Predicting Stress Levels from Autonomic Signals, IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, ISSN: 2163-4025
Douthwaite M, Garcia-Redondo F, Georgiou P, et al., 2019, A Time-Domain Current-Mode MAC Engine for Analogue Neural Networks in Flexible Electronics, IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, ISSN: 2163-4025
Zeng J, Georgiou P, 2019, Current-Mode ISFET Array with Row-Parallel ADCs for Ultra-High Speed Ion Imaging, IEEE International Symposium on Circuits and Systems (IEEE ISCAS), Publisher: IEEE, ISSN: 0271-4302
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- Citations: 7
Karolcik S, Miscourides N, Georgiou P, 2019, Live Demonstration: A Portable High-Speed Ion-Imaging Platform Using a Raspberry Pi, IEEE International Symposium on Circuits and Systems (IEEE ISCAS), Publisher: IEEE, ISSN: 0271-4302
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- Citations: 1
Miscourides N, Georgiou P, 2019, Mismatch compensation in ISFET arrays using a parasitic Programmable Gate, IEEE International Symposium on Circuits and Systems (IEEE ISCAS), Publisher: IEEE, ISSN: 0271-4302
Moser N, Keeble L, Rodriguez-Manzano J, et al., 2019, ISFET Arrays for Lab-on-Chip Technology : A Review, 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Publisher: IEEE, Pages: 57-60
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- Citations: 14
Cicatiello C, Moser N, Boutelle M, et al., 2019, Live Demonstration : A Portable Multi-Ion Platform with Integrated Microfluidics, IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, ISSN: 2163-4025
Cacho-Soblechero M, Georgiou P, 2019, A programmable, highly linear and PVT-insensitive ISFET array for PoC diagnosis, IEEE International Symposium on Circuits and Systems (IEEE ISCAS), Publisher: IEEE, ISSN: 0271-4302
Hu Y, Georgiou P, 2018, Trapped charge cancellation for CMOS ISFET sensors via Direct Tunnelling, IEEE Biomedical Circuits and Systems Conference (BioCAS) - Advanced Systems for Enhancing Human Health, Publisher: IEEE, Pages: 69-72, ISSN: 2163-4025
Douthwaite M, Georgiou P, 2018, An Asynchronous Auto-biasing Circuit for Wearable Electrochemical Sensors, IEEE Biomedical Circuits and Systems Conference (BioCAS) - Advanced Systems for Enhancing Human Health, Publisher: IEEE, Pages: 279-282, ISSN: 2163-4025
Cacho-Soblechero M, Lande TS, Georgiou P, 2018, A fully-digital ISFET front-end with In-Pixel Sigma Delta Modulation, IEEE Biomedical Circuits and Systems Conference (BioCAS) - Advanced Systems for Enhancing Human Health, Publisher: IEEE, Pages: 73-76, ISSN: 2163-4025
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