Case Study: Precision Medicine
Domain — Healthcare
Company — Oncora Medical
Article — https://appliedradiationoncology.com/articles/varian-oncora-pair-up-to-accelerate-precision-medicine
Opportunity: to help physicians make informed treatment and patient care decisions
Impacts:
- Minimize risk of toxicity
- Maximize chance for cure
- Improve care for patients
Of the problem types introduced in the lecture, which one does this use case most closely align?
Prescriptive — recommend an optimal cancer treatment plan for each patient
Prediction — predicting the outcome of cancer treatment plans
How did the company/organization use data science to achieve the desired impact?
Using historical treatment data to build predictive models that help design an optimal treatment plan for cancer patients
What was their impact hypothesis?
By predicting the outcome of new patient treatment, we can minimize the risk of toxicity and maximize the chance for cure
What was their data science solution path? Can you think of any other solution paths they may have or could have considered?
Aggregate vast amounts of historical patient data in conjunction with oncologists at Cancer Center to build predictive models and prescribe treatment plans for patients.
What data did they use?
Historical data and current patient data from many of the top Cancer Centers in the US, as well as other oncology data sources.
