Diagnostic and Prognostic Medical Devices

#biomedical #health #imaging #diagnostic #prognostic #medical-devices #WIE #IEEE #IEEE-Toronto

Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a talk on the Diagnostic and Prognostic Medical Devices, presented by Dr. Razieh (Neda) Salahandish.


Wednesday, August 16, 2023 @ 4:00 – 5:00 PM

Abstract: Clinicians are increasingly interested in employing innovative engineering tools and techniques for early-stage disease diagnosis, including infectious diseases, cancers, and brain injury disorders, to reduce economic, social, and health burdens. Integrated biosensing systems, which combine various scientific disciplines such as biology, chemistry, medicine, electrical engineering, and mechanical engineering, are viewed as effective approaches to tackle the associated medical and health concerns. While conventional laboratory-based testing remains prevalent, the appeal of routine use of low-cost and near-patient diagnostic systems opens up potential avenues for rapid disease screening, longitudinal medication effectiveness studies, biomarker discovery, and prognostics.

In this research seminar, Dr. Salahandish delves into the scientific underpinnings and outcomes of her doctoral and postdoctoral research, as well as her ongoing investigations into novel technologies for biomedical devices, with a specific focus on wearable diagnostic platforms. This includes the fabrication of compact and multiplexed electrochemical biosensing systems, utilizing screen-printing of chemically engineered nanomaterial inks, or developing nanocomposite interfaces to detect disease-related proteins, RNAs/DNAs, and metabolites.

Additionally, Dr. Salahandish will discuss the integration of biosensing strips with microfluidic systems to enable automated on-chip assay performance, as well as the development of impedance-based bi-potentiostats as custom-made handheld readout systems. The combination of these technologies creates a portable quantitative diagnostic platform. Although the clinical applications of electrochemical sensing are still in the early stages of validation, there are promising research opportunities in utilizing these biosensors for rapid detection of multiple biomarkers, wearable and in-vivo biosensing patches and chips, and tissue modeling organ-on-a-chip systems for drug discovery purposes. These advancements hold great potential in both academic and industrial realms for breakthrough developments in the future.

  Date and Time




  • Date: 16 Aug 2023
  • Time: 04:00 PM to 05:00 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
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  • Starts 08 June 2023 01:16 PM
  • Ends 16 August 2023 01:00 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
  • No Admission Charge


Razieh (Neda) Salahandish, PhD. Razieh (Neda) Salahandish, PhD.


Razieh (Neda) Salahandish, completed her Ph.D. in electrochemistry in 2018. Her doctoral research focused on the synthesis and fabrication of nano-structure-based biosensors for early-stage ultra-sensitive detection of Breast Cancer. Following her Ph.D., she worked as a post-doctoral fellow at the University of Calgary's Department of Biomedical Engineering from 2019 to 2022, where she developed in-vitro diagnostic (IVD) platforms for the early clinical diagnosis of various disease biomarkers, including a quantitative rapid detection system for COVID-19. Currently, she holds the position of Assistant Professor at the Department of Electrical Engineering and Computer Science at York University. Her research primarily revolves around the development of miniaturized electrical and electrochemical sensors, integrated microfluidics systems, smart organ-on-chip platforms, and wearable medical devices. As an entrepreneurially-minded scholar, she co-founded Criticare Dx, a startup company specializing in medical device development, in 2018. She has also collaborated with several early-stage ventures in the advanced sensing field, including CardiAI Inc, Selective Lab, and Scanbo, showcasing her enthusiasm for translational research.