To improve human health by accelerating the world’s transition to precision medicine
To improve the success of drug discovery and development through Genomics, AI and Quantum Computing
“The ability to generate a very good quality technical sequence of the human genome exists. But there is a massive gap between having the data in front of us and knowing what it all means”.
Quote from December 2020 interview with Dr. Eric Green, head of the National Human Genome Research Institute (Leading US genomic research organization.)
The life sciences industry is under pressure due to increasing costs and time required to bring average drug to market. Traditional methods of conducting clinical trials may not be sustainable as high rates of failure exceed revenues from new drugs.
Collaboration with Fortune 100 company for groundbreaking development of our cutting-edge genomics driven AI platform, dedicated to transforming the drug development process by enabling pharmaceutical companies to bring drugs to the market faster.
Platform is expected to dramatically cuts costs as well as reduce development time for new therapeutics. Potential annual savings of billions of dollars in research and development costs for world’s leading life science companies.
Spearheaded by GNQ’s Chief Technology Officer, we are collaborating with industry leaders in leveraging quantum computing capabilities to optimize drug development.
Combine proprietary genomics insights, AI along with quantum computing in the hybrid cloud for number of applications:
By combining AI-driven insights with domain expertise and a commitment to data privacy and ethical considerations, you can accelerate research processes, enhance genomic insights, and contribute to advancements in precision medicine and healthcare.
Collaborating with quantum computing providers like IBM can be valuable, as it gives you access to cutting-edge quantum hardware and expertise. Additionally, partnerships with healthcare institutions, clinical researchers, and regulatory bodies will be crucial for successfully integrating these technologies into the healthcare ecosystem.