Tempus

1. Sequence patient's tumor and normal DNA/RNA.

2. Analyze genomic data using Tempus xT platform.

3. Identify actionable mutations and biomarkers.

4. Match patient to targeted therapies or clinical trials.

5. Generate personalized treatment recommendations.

1. Analyze multi-omic data from a large cohort of cancer patients.

2. Apply machine learning algorithms to identify potential drug targets.

3. Validate drug targets in preclinical models.

4. Develop targeted therapies for clinical trials.

1. Screen patients for eligibility based on genomic and clinical data.

2. Match patients to relevant clinical trials.

3. Contact patients and provide information about clinical trials.

4. Facilitate patient enrollment in clinical trials.

1. Collect patient ECG data.

2. Analyze ECG data using Tempus ECG-Low EF software.

3. Identify patients with low left ventricular ejection fraction (LVEF).

4. Recommend appropriate interventions to reduce cardiovascular risk.

1. Digitize pathology slides.

2. Analyze digital pathology images using AI algorithms.

3. Assist pathologists in identifying cancerous cells and other abnormalities.

4. Generate diagnostic reports with enhanced accuracy and efficiency.

1. Analyze patient data to identify care gaps.

2. Develop and implement care pathway solutions.

3. Track and measure the impact of care pathway solutions.

4. Refine care pathways based on performance data.

5. Improve patient outcomes and reduce healthcare costs.