Improving Osteoarthritis Therapy through the design of Intra-articular Drug Delivery Systems engineered with Artificial Intelligence Tools

• Autores: Rebeca Martínez Borrajo
• Directores de la Tesis: Patricia Díaz Rodríguez (dir. tes.), Mariana Landín Pérez (dir. tes.)
• Lectura: En la Universidade de Santiago de Compostela ( España ) en 2024
• Idioma: inglés
• Tribunal Calificador de la Tesis: Antonio José Leitâo das Neves Almeida (presid.), Noemi Stefania Csaba (secret.), Edorta Santos Vizcaíno (voc.)
• Programa de doctorado: Programa de Doctorado en Investigación y Desarrollo de Medicamentos por la Universidad de Santiago de Compostela
• Materias:
  • Ciencias médicas
    • Farmacología
      • Composición de medicamentos
      • Evaluación de medicamentos
      • Preparación de medicamentos
• Enlaces
  • Tesis en acceso abierto en: MINERVA
• Resumen

  • This thesis highlights the crucial role of Artificial Intelligence (AI) tools in designing, developing, and optimizing novel formulations with potential as disease modifying osteoarthritis drugs (DMOADs). In this regard, AI tools enabled the establishment of robust protocols to prepare nanoparticles and microspheres of specific desired characteristics. The drug delivery systems developed in this thesis demonstrated its potential as DMOADs by targeting the two main hallmarks of OA: inflammation and cartilage degradation. This approach is achieved by following three independent but closely related strategies;

    inflammation control, macrophage phenotype modulation and reversing disease progression by modulating chondrocyte senescence. The use of AI tools was pivotal in achieving these advancements, offering innovative methodologies that surpassed traditional approaches in drug delivery systems design.