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Radiopharmaceutical Indication Prioritization

Pricing Strategy for Inpatient Therapy

Cardiovascular Disease State Assessment with EVERSANA Management Consulting

The client developed predictive and prognostic tests for determining the risk of cardiovascular disease in various patient groups. Before further investing in product development, the client needed to assess the potential for success in CVD by…

Assess MPS II Diagnosis and Treatment Referral Pathways and Identify Potential Patients via Predictive Modeling

Top features from the designed predictive model align well with the human phenotype ontology associations for MPS II. The top treatment centers across the country for MPS II patients based on patient volume and mapped referrals.

Finding APDS Patients Using Predictive Models

  Summary of typical APDS symptoms (left) and importance of features output by the predictive model for patients over the age of 12 (right).

Machine Learning Model Using Insurance Claims Data to Help Predict ALS Diagnosis

Poster presented at Mayo Clinic Annual Conference 2019 outlining model performance and feature importance in the prediction of future ALS diagnosis.

Predictive Modeling for Treatment of Relapsing-Remitting Multiple Sclerosis (RRMS)

SHAP values of factors influencing the first-line class of DMTs of treated patients.

Assessing the Telehealth Treatment Landscape and Building Predictive Models (AI/ML) to Identify Patients/Providers Most Likely to Use Telehealth

Patient segments were identified using telehealth proactivity and telehealth accessibility as the two major axes.