Clinical Scorecard: Breaking the Biomarker Bottlenecks: Part 1

At a Glance

Key Highlights

• Companion diagnostics can increase patient response likelihood to over 90%.
• AI and computational pathology are enhancing disease segmentation and treatment personalization.
• Collaborative efforts are essential to overcome barriers in companion diagnostics access.

Guideline-Based Recommendations

Diagnosis

• Implement companion diagnostics to guide therapy decision-making.

Management

• Utilize AI to improve diagnostic accuracy and treatment personalization.

Monitoring & Follow-up

• Regularly assess the effectiveness of companion diagnostics in clinical settings.

Risks

• Address potential high costs and side effects of ineffective treatments.

Patient & Prescribing Data

Patients with cancer requiring targeted therapies.

Precision medicine aims to ensure patients receive the right therapy from the start.

Clinical Best Practices

• Foster collaborations between diagnostic and pharmaceutical companies.
• Standardize molecular diagnostic assays across laboratories.
• Enhance infrastructure for efficient processing of complex diagnostic data.

References

• AstraZeneca Companion Diagnostics Approvals