PrecisionRad™ Intelligence: Predictive Radiation Oncology
Reducing uncertainty in radiotherapy through AI-driven genomic intelligence integrated with medical imaging to predict treatment outcomes before therapy begins.
Our Vision
PrecisionRad™ Intelligence transforms radiation oncology from anatomical targeting to predictive, biology-based treatment planning. We provide clinicians with computational tools to model tumor radiosensitivity, forecast normal tissue toxicity, and design precise, adaptive treatment plans based on each patient's unique genetic profile.
Challenge → Solution Matrix
Conventional radiotherapy is powerful, but it often treats all patients with the same condition in the same way, failing to account for critical biological differences. PrecisionRad™ Intelligence was built to solve these fundamental challenges:
**Standardized Planning Approaches**:
**Unseen Biological Factors**:
**Static Treatment Plans**:
**Risk of Normal Tissue Toxicity**:
**Fragmented Data**:
Common Problem
Standardized Planning Approaches:
Current protocols often treat tumors of the same type uniformly, overlooking critical biological differences that influence treatment effectiveness.
Our Solution
AI-Enhanced Treatment Planning & Quality Assurance
- Increase Efficiency: Streamline the complex treatment planning process.
- Improve Quality: Enhance treatment plan consistency and quality for better patient outcomes.
- Standardize Best Practices: Promote uniform, high-quality care across the institution.
- Enable Innovation: Establish a clear pathway to advanced, adaptive, and personalized radiotherapy.
- Enhance Reputation: Position the clinic as an innovative leader in oncology.
Technology Foundation
Core technological capabilities enabling advanced genomic insights.
AI-Powered Radio-Genomics: Advanced AI analyzes the functional impact of variants in DNA Damage Response (DDR) pathways to generate quantitative radiosensitivity scores.
Core Capabilities
5 advanced AI-powered capabilities designed to transform your workflow
PrecisionRad utilizes its analyze_single_variant
AI capability to directly enhance treatment planning and QA by:
- Informing target definition: If specific tumor sub-regions are identified (e.g., through multi-sample analysis or imaging-genomic correlation) to harbor mutations predicted by the AI to confer high radioresistance (e.g., specific TP53 gain-of-function variants with strong pathogenic scores), these regions can be delineated as biological targets for dose escalation (dose painting).
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Guiding selection of OAR constraints: Germline variants analyzed by
analyze_single_variant
that indicate heightened sensitivity of certain normal tissues to radiation can inform more conservative dose constraints for those specific OARs during planning. -
Contributing to QA by providing biological rationale: When AI-driven plans incorporate dose escalation to genomically-defined resistant areas, the underlying
analyze_single_variant
predictions (pathogenicity, delta_score) provide a verifiable biological basis for these advanced planning decisions, enhancing the QA process.
Value for Every Team
9 benefits across 3 stakeholder groups
For the Radiation Oncologist
Evidence-Based Decisions: Make treatment decisions based on predictive models of biological response, not just anatomical boundaries.
Integrated Data Analytics: Combine genomics, radiomics, and clinical outcomes into a single, actionable intelligence platform.
Adaptive Treatment Excellence: Implement truly adaptive radiotherapy that responds to biological changes in real-time.
Concluding Thoughts
PrecisionRad™ Intelligence represents a new era of precision radiation oncology. By integrating deep genomic insights with advanced imaging analysis, we are transforming radiation oncology from a standardized practice into a discipline of predictive, personalized medicine. Our mission is to provide clinicians with the intelligence to deliver the right dose, to the right target, at the right time, with optimal precision.
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