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& Magnussen, H
Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records
Stakeholders Interviewed Primary interviews for this study involved: Manufacturers and suppliers in the market value chain Distributors, channel partners, and integrators End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market) Industry experts, technology specialists, consultants, and regulatory professionals Senior executives (CEOs, CTOs, VPs, Directors) and product managers Interview Process Interviews were conducted via: Structured and semi-structured questionnaires Telephonic and video interactions Email correspondences Expert consultation sessions Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation
The active ingredient, tirzepatide, functions as a dual GIP and GLP-1 receptor agonist
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