Therapy analytics research concepts
OraDigit is exploring how governed quantitative context could support therapy-workflow research. No public tool predicts patient outcomes, stratifies patient risk, or recommends treatment.
Research questions, not treatment decisions
Future work may study quantitative trends and workflow representations under approved governance. Qualified professionals remain responsible for treatment planning, interpretation, and care.
- Response Prediction Models
Train AI models to forecast patient response to radiopharmaceutical therapy, immunotherapy, or chemoradiation using historical imaging and lab data. - Treatment Pathway Optimization
Analyze multimodal datasets to recommend optimal therapy routes, timelines, and combinations for specific cancer profiles. - AI for Dosimetry Planning
Use AI-enhanced image analysis to support radiation dose estimation, toxicity risk modeling, and therapy planning for nuclear medicine treatments. - Progression Risk Modeling
Forecast likelihood of recurrence, metastasis, or therapy resistance through statistical and deep learning approaches. - Outcome Dashboarding
Interactive dashboards for oncologists, radiologists, and administrators to track key performance and therapy metrics in real time.
Key Use Cases in Oncology & Nuclear Medicine
- Oncology Care Teams
Support for early detection, personalized plans, and therapy effectiveness monitoring using ML-enhanced imaging and patient data. - Radiopharmaceutical Trials
Analytics platform for efficacy prediction, dose-response evaluation, and trial arm comparison for novel compounds. - Radiology-Therapy Research
Study how imaging observations and therapy-workflow context could be represented without recommending what should be done. - Theranostics Research
Predictive models and dosimetric tools for institutions advancing theranostic workflows in precision medicine.
Why OraDigit?
- Domain-Driven Models
Built by healthcare professionals with over 15 years of PET/CT and nuclear medicine experience. - Project-Specific Evaluation
Any future model work would require governed datasets, intended-use definitions, validation, and compatibility review. - Security and Governance
Privacy, audit, de-identification, and institutional-review requirements must be established for each approved project. - Built for Collaboration
Designed to work seamlessly with oncologists, physicists, and imaging specialists.