Nayanashri Thalanki Anantha

Current title:
Research Associate I
Degrees:

  • Master of Health Sciences in Clinical Engineering, Bloorview Research Institute, University of Toronto, Canada
  • Bachelor of Technology in Biomedical Engineering, Vellore Institute of Technology University, India

Affiliations:
Princess Margaret Cancer Research Centre, University Health Network

Nayana Thalanki received her undergraduate degree in Biomedical Engineering from Vellore Institute of Technology University (Vellore, India). She completed her fourth-year thesis from the PRISM Lab at the Holland Bloorview Kids Rehabilitation Hospital (Toronto, Canada). She continued at the same lab to obtain a master’s degree in Clinical Engineering. She joined the DaCosta lab in 2017 after having worked in pediatric rehab research and medical product development in a start-up industry.

The DaCosta lab has a strong focus in translational research and commercialization, with the intent that meaningful research benefits the target population at large. My part is to enable this by working closely with the clinical team that focuses on validation of our research via clinical studies. Although we are a research lab, we have implemented and practice industry standard Quality Management Systems (QMS) and Agile project management methodologies in our research – specifically medical device development. Most importantly, all our product development is clinically user-driven to ensure maximum compliance. We leverage our clinical liaisons to obtain user needs as well as periodic feedbacks (focus groups) during our design and development process. Our current project involves the design, development and evaluation of a Hand-held fluorescence imaging platform surgical guidance and margin assessment.

Design and development life cycle of a medical product

In addition to the design engineering process, I also work on algorithm development and image analysis within our clinical projects. This includes feature extraction and classification methodologies in fluorescence image data to differentiate between tissue types, quantify fluorescence and identify cancerous tissue among others.