Enterprise Quantum
for Health & Pharma
Quantum computing has enormous potential to accelerate drug discovery. With the pharmaceutical industry spending around 15% of sales on R&D, this could mean billions in added value. Quantum technology could also unlock new efficiencies across the entire value chain in healthcare and pharma.
Clinical Trial Patient Selection
When selecting patients for clinical trials, the goal is to identify patients for whom treatment is most likely to be effective, with minimal risk of complications.
However, there are a huge number of features that can be used to build a model for patient selection, including biomarkers, demographic data and other variables. Knowing which features will drive the most successful patient outcomes would improve trial results and speed up the drug discovery process.
Quantum-Ready Applications® for Health and Pharma
Research and Development
Clinical Trials
In-Market
Healthcare
Research and Development
Clinical Trials
In-Market
Healthcare
Key Challenges
Zapata Solutions
Automated Literature Analysis
Apply quantum-boosted natural language processing to search research literature for relevant studies.
Protein Folding Simulation
Develop new quantum-boosted techniques for exploring the space of protein configurations.
Molecular Generation
Leverage quantum-enhanced generative modeling to generate novel molecular structures and drug candidates with specific functionalities.
Protein Design
Optimize the sequence of amino acid–rotamers in a protein active site to improve the functionality and minimize the energy function, without altering the backbone structure.
Genomic Sequencing Analysis
Accelerate genomic sequencing by applying quantum and quantum-inspired generative modeling techniques to reduce the dimensionality of the genome space.
Orquestra® Benefits for Health and Pharma
Orchestration Across Environments
Leverage the quantum and other heterogenous classical compute resources best suited for your tasks, without getting locked into any one hardware platform. Deploy across hybrid backends at enterprise scale.
Data Management & Velocity
Store, retrieve, and analyze large datasets. Streamline data management from ingestion to export to accelerate data velocity.
Open Framework
Keep what works now. Integrate existing and future solutions with a framework optimized for extensibility, interoperability, and innovation.
Workflow Development and Deployment
One unified platform to go from research to development to deployment with extensible, scalable, modular workflows.
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