AI Solutions
for Health & Pharma
AI, quantum techniques and other Big ComputeTM have enormous potential to accelerate drug discovery. With the pharmaceutical industry spending around 15% of revenue on R&D, this could mean billions in added value. Quantum-enhanced AI 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.
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
Molecular Structure Analysis
Analyze structural relationships between molecules using optimization techniques enhanced by generative modeling.
Catalytic Reaction Simulation
Accelerate ab initio transition state analysis of potential catalyst materials using quantum chemical simulation methods.
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.
Use Case Timeline (est.)
Orquestra® Benefits for Health and Pharma
Orchestration Across Environments
Leverage the heterogenous 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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