CTOs on the Move

Genia Photonics

www.geniaphotonics.com

 
Genia Photonics Inc. is a Lasalle, QC-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
  • Number of Employees: 0-25
  • Annual Revenue: $1-10 Million

Executives

Name Title Contact Details

Similar Companies

Wuhan General Group

Wuhan General Group, Inc. through its wholly-owned subsidiary MJ MedTech is a nutraceutical biotechnology company that researches, develops and commercialises a range of CBD-based products under the Dr. AnnaRx™ and Medspresso™ brands.

Global Nephrology Solutions

While GNS offers a full suite of management services, what makes us unique is our ability to leverage our large Nephrology network, plus state-of-the-art data analytics to customize and benchmark our offering while reducing overhead. We begin with a practice assessment to understand your practice`s strengths and weaknesses and then provide specialized resources to support local management to improve practice operations. Given our growing national footprint, we are able to adopt best demonstrated practices while utilizing local and national benchmarks.

Integris Health, Inc.

INTEGRIS Health is Oklahoma's largest privately owned health system.

Royal Oaks Lifecare Community

Royal Oaks Lifecare Community is one of the leading companies in Healthcare, Pharmaceuticals, and Biotech industry. Royal Oaks Lifecare Community is based in Sun City, AZ. You can find more information on Royal Oaks Lifecare Community at www.royaloakslife.com

Genalyte

Since 2007, Genalyte has been guided by the vision of taking a single drop of blood, performing panels of tests and returning accurate and reproducible results within a few minutes. We launched our first instrument in 2012 in the pharmaceutical industry and academia for a range of healthcare applications including autoimmune disease monitoring, screening of cancer biomarkers, testing for infectious agents and detecting anti-drug antibodies. By reducing tests to a microscopic size in a highly multiplex environment on the surface of silicon chips we are able to generate more information from a smaller sample in less time than conventional techniques.