Blood Diagnostic Bot

Student Presenter(s): Manmeet Multani, Justin Catagua, Luis Carrasco, Navjeet Singh, Ercibel Rubio, Eugene Atiase, and Evan Katradis
Faculty Mentor: Sophie Christman
School/College: Engineering and Computing Sciences, Old Westbury

Our research summary in the technical communication class required creating a dynamic and practical research project that includes software and hardware engineering that entrepreneurs will market. Our product, Blood Diagnostic Bot (BDB), will enhance the user experience when extracting blood from users. The use of BDB will be simple and effective. The analysis and interpretation of blood samples can be made at a fixed setting 24/365. BDB will extract blood and examine the chemical and physical characteristics of blood. The device is equipped with multiple sensors and the blood's chemical composition to display data related to the customer’s benchmarks. We aim to market to geriatrics and athletes and expand the product to the public. A product like the BDB in Rutgers takes blood samples with a success rate of 87%. The robot can use near-infrared and ultrasound imaging to locate blood vessels, insert and inject the needle, and pump the blood into the centrifuge. Lastly, the analyzer contains an acrylic chip to house the blood sample and determine the cell count. VitalFlow’s Blood Diagnostic Bot will continue to produce robotic and microfluidic (lab on a chip) systems with precision and accuracy. The difference is that BDB will provide home convenience and a broader panel of tests. The primary conclusion of this research is to enable users to make life easier by communicating conveniently with health professionals from their homes and receiving fundamental feedback.