OmniCellar

OmniCellar

Project Overview

About

OmniCellar is a high-precision platform that combines 3D bioprinted organ-on-a-chip models with aptamer-based electrochemical sensors to monitor tissue health in real time. These sensors track glucose and lactic acid levels every 30 minutes for up to a week, revealing disease progression and drug effects with exceptional accuracy. By replacing destructive lab testing with dynamic metabolic readouts, OmniCellar helps researchers predict treatment outcomes more reliably, reducing development costs and accelerating therapies for chronic and age-related diseases

Team

Anushree Chakravarty

Anushree Chakravarty

McMaster University

I am a first-year PhD student working with Dr. Boyang Zhang at McMaster University in Canada. Over the past three years I have worked with organ-on-a-chip technology. I have a bachelor's in Chemical and Biomedical Engineering where I got to practice the intersection of research and commercialization with our capstone project employing paper microfluidics as a point-of-care diagnostic tool for inflammation experienced during breastfeeding. From there, biosensors became a part of my research and I pursued OmniCellar as part of my thesis, putting together in vitro tissue engineering with biosensors.

Sadman Sakib

Sadman Sakib

McMaster University

Sadman is a postdoctoral fellow at McMaster University, leveraging a unique multidisciplinary background to tackle challenges in medical diagnostics. Born in Dhaka, Bangladesh and raised in Toronto, Canada, he earned a B.Eng in Electrical Engineering followed by a Ph.D. in Engineering Physics from McMaster. His research bridges techniques from materials science, electronics, biotechnology, and AI to engineer advanced solutions for biosensing. He has designed novel nanomaterials, biochemical assays, and portable electronics for detection of disease biomarkers, and infectious agents. This expertise is embodied in his latest innovation, the OmniCellar platform, which integrates organ-on-a-chip systems with biosensors for real-time metabolic monitoring.

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