NovAccess Global Inc. announced the formation of its Precision Medicine Division to enable more enhanced and accelerated personalised therapeutics and treatment protocols. Using AI, Big Data and Predictive technologies to power its new Precision Medicine Division, NovAccess Global will search through licensed databases to identify patient data (phenotypic, clinical and genomic) for analysis as part of its own and its clients therapeutic drug development and its clients' therapeutic treatment purposes. This service platform also will be marketed to external pharmaceutical and biotechnology companies, private payers, federal and national/international health agencies and healthcare providers.

Beyond the glioblastoma/brain tumor segment, NovAccess Global will target cardiology and oncology patient data, with an emphasis on obtaining oncology and cardiology patient data sets from different countries around the world that will include underrepresented patient populations. The Precision Medicine Division has begun developing a platform to allow the analysis of patient data in a manner that will meet the most stringent data privacy requirements. Overall, NovAccess Global expects to have its patient data platform available for commercial use by the end of the first quarter of 2024.

NovAccess Global intends to also use AI within its Precision Medicine Division to identify the most optimal antigens use for dendritic cell vaccines. Antigens are the molecules that trigger the immune response, and they need to be specific for the tumor cells and not the normal cells. AI can analyze the genomic and proteomic data of tumor cells and find the most suitable antigens for each patient.

It is NovAccess Global's belief that AI can help to optimize the dose and timing of dendritic cell vaccines. The dose and timing of the vaccine can affect the efficacy and safety of the treatment. AI can use mathematical models and machine learning algorithms to predict the optimal dose and timing based on various factors such as the patient's characteristics, the tumor type and stage, and the immune status.