Cota Medical

1. Upload patient's genomic data and clinical history.

2. The AI platform analyzes the data and identifies relevant biomarkers.

3. The platform generates a list of recommended treatments with predicted efficacy.

4. Oncologist reviews the recommendations and selects the optimal treatment plan.

1. Input patient's medical history, lab results, and lifestyle data.

2. The AI platform calculates a risk score based on predictive models.

3. The platform generates a report with personalized recommendations for risk reduction.

4. Healthcare provider implements preventive measures based on the report.

1. Input genetic and proteomic data for the rare disease.

2. The AI platform analyzes the data and identifies potential drug targets.

3. The platform searches for existing drugs that interact with the identified targets.

4. Researchers validate the potential drug repurposing candidates in preclinical studies.

1. Input clinical trial protocol and inclusion/exclusion criteria.

2. The AI platform analyzes patient data and identifies potential participants.

3. The platform generates a list of eligible patients with contact information.

4. Clinical trial organizers contact and enroll the identified patients.

1. Integrate continuous glucose monitoring (CGM) data and patient activity data.

2. The AI platform identifies patterns and predicts glucose fluctuations.

3. The platform generates personalized recommendations for diet and exercise.

4. Patient follows the recommendations and monitors their glucose levels.