From classic computational studies to IFPTMLmodelling of effectivity, safety, toxicity, and cost aspects in different cancer therapies

• Autores: Li Chen
• Directores de la Tesis: Bairong Shen (dir. tes.), Humberto González Díaz (dir. tes.), José Javier Meana Martínez (tut. tes.)
• Lectura: En la Universidad del País Vasco - Euskal Herriko Unibertsitatea ( España ) en 2024
• Idioma: español
• Tribunal Calificador de la Tesis: Enrique Onieva Caracuel (presid.), Jose Angel Ruíz Orgega (secret.), Tatiana Suárez Cortés (voc.)
• Programa de doctorado: Programa de Doctorado en Farmacología por la Universidad del País Vasco/Euskal Herriko Unibertsitatea
• Materias:
  • Ciencias agrarias
    • Ciencias veterinarias
      • Farmacología
• Enlaces
  • Tesis en acceso abierto en: ADDI
• Resumen

  • In this doctoral thesis, I utilized FAERS data analysis methods to complete a neurotoxicity study on taxane drugs, a safety study on platinum drugs, and a cardiotoxicity study on ALK inhibitors. Additionally, I conducted a cost-effectiveness analysis to evaluate the economic value of gefitinib in Chinese patients with non-small cell lung cancer. Furthermore, I applied the IFPTML method to analyze safety and efficacy of the ovarian cancer treatments data in the hospital. This analysis led to the development of a prediction model, demonstrating the potential application of IFPTML in evaluating the safety and efficacy of a wider range of anti-tumor therapeutic drugs.