Predict individual response to spironolactone therapy in HFpEF patients using a gradient-boosting model. Input patient data to estimate treatment effect. Provides research-based predictions for clinical validation.
Helps medical professionals stage using TNMS system. Input data from orchiectomy, tumor markers, and imaging studies. Determines T, N, M, and S categories. Provides information based on clinical criteria.
Bariatric information for healthcare professionals.
The app provides monthly, peer-reviewed articles for bariatric healthcare professionals. It delivers current information on trends, research, and products for obesity and metabolic disorder treatment.
