Proscia Concentriq

1. Scan the breast biopsy using a whole slide scanner.

2. Upload the digital slide to Concentriq AP-Dx.

3. The AI algorithm automatically detects and classifies cancerous cells.

4. The pathologist reviews the AI findings and makes a final diagnosis.

5. Generate a diagnostic report and integrate with EMR.

1. Analyze tumor samples from patients enrolled in clinical trials.

2. Use Concentriq LS to quantify the expression of immune checkpoint markers.

3. Correlate biomarker expression with patient response to immunotherapy.

4. Identify predictive biomarkers for patient stratification.

5. Develop companion diagnostics for personalized immunotherapy.

1. Scan the patient's biopsy using a whole slide scanner.

2. Upload the digital slide to Concentriq AP.

3. Invite an expert pathologist to review the case remotely.

4. The expert pathologist annotates the slide and provides a diagnosis.

5. Generate a diagnostic report and integrate with EMR.

1. Scan a set of control slides using a whole slide scanner.

2. Upload the digital slides to Concentriq AP.

3. Use AI algorithms to quantify the expression of key biomarkers.

4. Compare the results to expected values and identify any discrepancies.

5. Implement corrective actions to improve diagnostic accuracy.

1. Analyze patient tissue samples using digital pathology and AI.

2. Quantify cellular features and biomarker expression.

3. Correlate these features with clinical outcomes using machine learning.

4. Develop a predictive model to stratify patients based on their likelihood of response.

5. Use the model to optimize clinical trial design and improve patient outcomes.

1. Analyze tissue samples from disease models.

2. Use Concentriq LS to identify cellular changes and biomarker expression patterns.

3. Apply AI algorithms to identify potential drug targets.

4. Validate the targets using in vitro and in vivo experiments.

5. Develop new drugs that target these pathways.