Vince S. Siu

ORCID: 0000-0003-4652-1189
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About
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Research Areas
  • Biosensors and Analytical Detection
  • Context-Aware Activity Recognition Systems
  • Plasmonic and Surface Plasmon Research
  • Mobile Health and mHealth Applications
  • Advanced biosensing and bioanalysis techniques
  • Metabolomics and Mass Spectrometry Studies
  • Telemedicine and Telehealth Implementation
  • Electronic Health Records Systems
  • IoT and Edge/Fog Computing
  • Dialysis and Renal Disease Management
  • Radiopharmaceutical Chemistry and Applications
  • Cell Image Analysis Techniques
  • Advanced Biosensing Techniques and Applications
  • Image Processing Techniques and Applications
  • Machine Learning in Healthcare
  • Nanowire Synthesis and Applications
  • Gold and Silver Nanoparticles Synthesis and Applications
  • COVID-19 diagnosis using AI
  • Prostate Cancer Treatment and Research
  • Bone health and treatments
  • Advanced Chemical Sensor Technologies
  • Dementia and Cognitive Impairment Research
  • Enhanced Oil Recovery Techniques
  • Nanofabrication and Lithography Techniques
  • Biomedical and Engineering Education

IBM (United States)
2017-2024

IBM Research - Thomas J. Watson Research Center
2018-2022

Brown University
2009-2014

John Brown University
2014

The University of Texas MD Anderson Cancer Center
2005

In this work, we report the design, fabrication, and characterization of novel biochemical sensors consisting nanoscale grooves slits milled in a metal film to form two-arm, three-beam, planar plasmonic interferometers. By integrating thousands interferometers per square millimeter with microfluidic system, demonstrate sensor able detect physiological concentrations glucose water over broad wavelength range (400–800 nm). A sensitivity between 370 630 nm/RIU (RIU, refractive index units),...

10.1021/nl203325s article EN Nano Letters 2011-12-26

Innovations in healthcare, diagnostics, sensors and data analysis with Artificial Intelligence (AI) learning / recommendations offer opportunities for improved personalized lower costs benefits to the medical industry. The age of human health monitoring has begun. Human using fluidic diagnostic monitoring, non-invasive sensors, wearables (electronic sensors), implanted sound, visual images, combinations these trends individuals healthcare guidance. data, analytics from solutions are...

10.1109/ectc.2018.00231 article EN 2018-05-01

The recently discovered bactericidal properties of nanostructures on wings insects such as cicadas and dragonflies have inspired the development similar nanostructured surfaces for antibacterial applications. Since most applications require covering a considerable amount area, practical fabrication method needs to be cost-effective scalable. However, reported nanofabrication methods either expensive equipment or high temperature process, limiting cost efficiency scalability. Here, we report...

10.1063/1.5003817 article EN Applied Physics Letters 2017-12-18

Abstract A non-invasive method for the detection of glucose is sought by millions diabetic patients to improve personal management blood over a lifetime. In this work, synergistic advantage combining plasmonic interferometry with an enzyme-driven dye assay yields optical sensor capable detecting in saliva high sensitivity and selectivity. The sensor, coined “plasmonic cuvette,” built around nano-scale groove-slit-groove (GSG) interferometer coupled Amplex–red/Glucose–oxidase/Glucose...

10.1515/nanoph-2013-0057 article EN Nanophotonics 2014-05-21

This paper highlights the design philosophy and architecture of Health Guardian, a platform developed by IBM Digital team to accelerate discoveries new digital biomarkers development health technologies. The Guardian allows for rapid translation artificial intelligence (AI) research into cloud-based microservices that can be tested with data from clinical cohorts understand disease enable early prevention. connected mobile applications, wearables, or Internet things (IoT) devices collect...

10.1109/icdh55609.2022.00015 preprint EN 2022-07-01

This paper reports on a low-cost, quantitative, point-of-care solution for the early detection of nitrite, common biomarker urinary tract infections (UTIs). In healthy individual, nitrite is not found in urine. However, subject with suspected UTI will produce their urine since bacteria present convert nitrate into nitrite. Traditionally, monitored by dipsticks that are either read eye or using reflectance spectrophotometer. Both methods provide semiquantitative positive negative result at...

10.1021/acsomega.1c07205 article EN cc-by-nc-nd ACS Omega 2022-03-22

This paper presents a cost-effective, quantitative, point-of-care solution for urinalysis screening, specifically targeting nitrite, protein, creatinine, and pH in urine samples. Detecting nitrite is crucial the early identification of urinary tract infections (UTIs), while regularly measuring protein-to-creatinine (UPC) ratios aids managing kidney health. To address these needs, we developed portable, transmission-based colorimeter using readily available components, controllable via...

10.3390/bios14020070 article EN cc-by Biosensors 2024-01-30

This paper presents a data-centric and security-focused data fabric designed for digital health applications. With the increasing interest in research, there has been surge volume of Internet Things (IoT) derived from smartphones, wearables, ambient sensors. Managing this vast amount data, encompassing diverse types varying time scales, is crucial. Moreover, compliance with regulatory contractual obligations essential. The proposed comprises an architecture toolkit that facilitate...

10.1109/icdh60066.2023.00021 preprint EN 2023-07-01

The food industry such as meat producers and plant product processors have tremendous interest in detecting pathogenic organisms <i>E.coli, Listeria</i>, <i>Salmonella</i> very low concentrations down to a single cell. These when they are the right environment can start multiplying exponentially. For example, <i>E.coli</i> cells double every 20 minutes posing danger for their growth over many hours. We designed an optical device that attaches smartphone providing imaging processing achieves...

10.1117/12.2529829 article EN 2019-09-09

Artificial intelligence (AI) has shown great promise in revolutionizing the field of digital health by improving disease diagnosis, treatment, and prevention. This paper describes Health Guardian platform, a non-commercial, scientific research-based platform developed IBM Digital team to rapidly translate AI research into cloud-based microservices. The can collect health-related data from various devices, including wearables mobile applications. Its flexible architecture supports...

10.1109/icdh60066.2023.00019 preprint EN 2023-07-01

In this work, we report the design, fabrication and characterization of novel biochemical sensors consisting nanoscale grooves slits milled in a metal film to form planar plasmonic interferometry. By integrating thousands interferometers per square millimeter with microfluidic system, demonstrate sensor able detect physiological concentrations glucose water over broad wavelength range (400-800 nm). A sensitivity between 370-630 nm/RIU (RIU, Refractive Index Units), relative intensity change...

10.1109/lec.2012.6410977 article EN 2012-08-01
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