TECHNOLOGY

AI/Quantum Computing

Spearheaded by GNQ’s Chief Technology Officer, we are collaborating with industry leaders in leveraging quantum computing capabilities to optimize drug development.

ARTIFICIAL INTELLIGENCE

AI models to infer knowledge gaps and generate hypotheses.
Identifying genes associated with specific cellular behaviors.
Speed up the research process and ultimately enhance MNH’s genomic and epigenetic insights.
Generating insights from large amounts of structured and unstructured technical literature.
Developing and deploying federated learning models to derive insights from disparate health data without compromising security and privacy of health data.
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QUANTUM COMPUTING

Combine proprietary genomics insights, AI along with quantum computing in the hybrid cloud for number of applications:

Design target drug molecules personalized by genomic profiles.
Provide genomic, epigenetic and microbiome-based insights in a point of care setting to improve diagnostic predictions in hormonal, cardiovascular, metabolic and auto immune disease.
Improve clinical trials outcomes by providing genomic stratification in cohort selection.
Simulate pharmacokinetics in silico (virtually) to improve drug safety and efficacy predictions before conducting clinical trials.
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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.