Authors: Shailesh Yadav
Abstract: Personalized medicine, which tailors medical treatment to individual patient characteristics, has been significantly enhanced by advances in artificial intelligence (AI). AI enables the integration and analysis of vast amounts of patient data, facilitating precise diagnostics and personalized therapeutic interventions. The adoption of AI in personalized medicine is reshaping traditional healthcare business models by introducing new value creation mechanisms, revenue streams, and stakeholder dynamics. This paper explores the evolving business models that support AI-enabled personalized medicine, focusing on value propositions, revenue generation, partnerships, and challenges in commercialization. The analysis highlights how innovative business frameworks are essential to translating AI technologies into sustainable healthcare solutions that improve patient outcomes and deliver economic value. Strategic implications for startups, established healthcare providers, and payers are discussed, alongside considerations for regulatory environments and ethical dimensions. The paper concludes by outlining future trends and opportunities for business innovation in AI-driven personalized healthcare.
DOI: http://doi.org/10.61137/ijsret.vol.8.issue6.567
