Molecular Health - Dataome Technology
Reliable predictions to anticipate risks. Interlinked data to find new targets and design novel drugs. Real-world evidence to evaluate success. These capabilities eliminate the uncertainties that limit drug development but are data-intensive and experimentally inaccessible. Molecular Health Dataome Technology offers powerful solutions to transform drug development. By merging world-class biomedical data, AI-powered analytics, and subject matter expertise, we deliver insights that go beyond human and experimental limitations.
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Analytical Power Meets Comprehensive and Connected Data
Accelerate drug development and reduce costs by exploring in depth the complete data and information landscape around your product.
- Understand the biology of complex disease and identify better target-disease relationships
- Investigate molecular disease subtypes to identify and address responder patient populations
- Reveal new promising targets for the development of novel therapies
- Augment the value of pipeline drug candidates and portfolio drugs
- Optimize clinical trial structure, size, and relevant study cohorts
- Anticipate risks and mitigate failure of candidates at clinical stage
What Makes Dataome Technology Unique
- Proprietary data capture and structure creates an unmatched and evolving knowledge base
- In-house curation by biomedical experts to link and deliver otherwise inaccessible data
- Stringent data quality assurance via highly standardized data capture and assimilation
- Tailored design of in silico disease models to connect drug therapies to patient outcomes
- Disease agnostic knowledge base with in-depth focus on CNS diseases and oncology
- Access to real-world data from millions of patients to generate and validate relevant hypotheses
- An extended, powerful portfolio of advanced analytical and AI technologies
- Extensive quality certifications and medical device approval
- Proven and published [1–3] track record of successful projects with industry, academia and regulators
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