Using AI, Socioeconomic Factors to Predict Outcomes After Allo-SCT for AML
August 16th 2025Artificial intelligence (AI) and socioeconomic factors enhance risk stratification for patients with acute myeloid leukemia (AML) post transplant, aiming to reduce hospital readmissions and disease progression.
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Clayton Irvine, PharmD, MBA, MS, discusses strategies to address payer-driven biosimilar and prior authorization challenges through integrated digital solutions, while advocating for flexible, regularly reviewed treatment pathways supported by molecular tumor boards and artificial intelligence to balance standardization with personalized, biomarker-driven oncology care.
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