Use Case 1: AI-Driven Personalized Treatment Planning
How AI Works:
- AI analyzes patient genomic data, medical history, lifestyle factors, and current health status to recommend highly personalized treatment plans.
- Algorithms simulate patient-specific responses to various treatments, ensuring optimal effectiveness.
Real-World Example:
- IBM Watson for Oncology provides tailored cancer treatment recommendations, enhancing oncologists’ clinical decisions and improving patient outcomes.
Key Benefits:
- Improved treatment success rates (e.g., 30% higher response rates in cancer therapies).
- Reduction in adverse reactions and unnecessary treatments.
- Enhanced patient satisfaction through customized care.
Use Case 2: Predictive Genetic Risk Analysis
How AI Works:
- AI algorithms analyze genetic sequences to predict individual susceptibility to diseases such as diabetes, heart conditions, and cancer, facilitating early interventions and personalized preventive care.
Real-World Example:
- 23andMe uses AI to identify genetic markers associated with health risks, helping millions take preventive healthcare actions earlier.
Key Benefits:
- Early identification of disease risk, enabling preemptive interventions.
- Reduction in healthcare costs associated with late-stage disease treatments.
- Empowered patients through proactive health management.
