Advancement of a Precision Diagnostic Tool for Detecting Muscle Atrophy-Associated Small Molecules.

The management of musculoskeletal diseases is essential for reducing pain and disability, preventing disease progression, maintaining independence, and promoting mental well-being. By effectively managing these conditions and facilitating individualized therapy approaches, society as a whole will benefit from reduced healthcare costs and improved economic productivity. Early detection and proactive care are vital for the management […]

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Developing a User-Friendly Digital Platform for Coastal and Conservation Guardian Volunteers

This project will be conducted in collaboration with Island Nature Trust (INT) to develop a user-friendly digital platform for volunteers in their Coastal Guardian and Conservation Guardian Programs. Currently, the organization faces an innovation challenge in coordinating and supporting a geographically dispersed network of volunteers, many of whom have limited technical experience. Also, existing processes […]

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Performance-Based Control of Early-Age Cracking in High-SCM Flat Slabs Using Experimental Characterization and Numerical Modelling

This project will help a structural engineering firm reduce unwanted cracking in newly cast concrete floor slabs. The intern will test several concrete mixes that are commonly used by the partner, including one that has cracked in real buildings and others that have performed well. In the laboratory, the intern will measure how much each […]

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L2M – AI scribe tool for mental health professionals

This project develops an AI-powered clinical scribe designed specifically for mental-health therapists. Many therapists spend excessive time on documentation, often losing 5–10 hours per week to paperwork. Existing medical transcription tools are not built for psychotherapy and fail to meet privacy or workflow needs. Our project will create and test a privacy-first, therapist-friendly prototype that […]

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Data-driven recovery of at-risk bumblebee species: pinpointing optimal release and recovery sites across Ontario

This project will help protect at-risk bumble bee species in Ontario by identifying the best places to release captive-reared queens back into the wild. Bumble bees are essential pollinators, but many species are declining due to habitat loss and environmental change. While Wildlife Preservation Canada (WPC) has successfully reared several native species, choosing safe and […]

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L2M – NeviSight

NeviSight is an AI-powered platform that transforms retinal imaging into faster, more accurate, and more accessible eye disease detection. Designed as a decision-support tool, it aims to integrate seamlessly with existing fundus cameras and clinical workflows, providing clinicians with real-time lesion segmentation and risk insights. Our completed prototype combines a proprietary hybrid AI model with […]

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Automated Structural Analysis and Change Detection for No-Code Automation Workflows

This project focuses on developing and evaluating automated methods for analyzing complex no-code automation workflows used in enterprise environments. Platforms such as Workfront Fusion and Make.com allow organizations to build powerful automations quickly, but as these workflows grow in size and importance they often become difficult to understand, maintain, and safely modify. Changes are frequently […]

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NouLife: Synthesis of Linked Conjugates

In 2023, Innovotech acquired a 60% interest in NouLife Sciences Inc., a company that developed the intellectual property for the linking of two antioxidant molecules commonly used in skin care products – alpha lipoic acid and acetyl-L-carnitine – into one molecule. The linking of the two molecules has been indicated by NouLife to increase the […]

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L2M Launch – Commercialization of Natural Polymer-Based Wound Dressings

In collaboration with the Lab2Market Launch program, our goal is to transition our natural polymer-based wound dressing from the lab bench to commercial scale. Designed specifically for individuals with chronic wounds and fragile skin conditions, our hydrogel-based dressing aims to fill a critical gap in the market. Through the program, we seek to deepen our […]

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L2M Launch – Wonder Guard: An AI-Powered Catheter Sensor System to Detect and Predict Infection

Wonder Guard is an AI-powered catheter sensor system that is capable of detecting and predicting infection. We are developing an infection surveillance system using electrochemical DNA biosensors and AI-driven analytics to make assisted diagnoses. The device is a module add-on to existing hospital catheter systems that can continuously produce and analyze data to monitor UTIs, […]

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