PIONEERING ADVANCEMENTS IN UROLOGY: ARTIFICIAL INTELLIGENCE, GENOMIC INSIGHTS, NOVEL TREATMENTS, DIAGNOSTICS, AND TARGETED THERAPIES TRANSFORMING PATIENT CARE

Autores/as

  • Breno Oliveira Gois Universidade Tiradentes
  • Rodolpho Bicalho Bento Centro Universitário do Pará - CESUPA
  • Bianca Maria de Negreiros Kastrup UNESA
  • Afrânio Côgo Destefani Higher School of Sciences EMESCAM
  • Vinícius Côgo Destefani DynMolLab

DOI:

https://doi.org/10.51891/rease.v10i8.15190

Palabras clave:

Urology. Artificial Intelligence. Genomics. Therapeutics. Diagnostic Techniques. Urological.

Resumen

Recent advancements in urology are transforming patient care by integrating artificial intelligence (AI), genomic insights, and novel therapeutic approaches. This review explores the significant strides made in the field, particularly the application of AI in enhancing diagnostic precision and treatment strategies. The role of genomics in identifying molecular targets and pathways has enabled the development of targeted and personalized treatments, revolutionizing the management of urological disorders. We highlight novel pharmacological and non-pharmacological treatments that have shown efficacy in improving patient outcomes. Additionally, advancements in diagnostic methodologies, including non-invasive tests and precision imaging, have facilitated early and accurate disease detection. The review also addresses the emerging trends in biological therapies and the use of portable monitoring devices that support continuous care. By synthesizing current research, this article provides a comprehensive overview of the cutting-edge technologies and approaches that are setting the stage for future innovations in urology, aiming to enhance patient outcomes and optimize care delivery.

Biografía del autor/a

Breno Oliveira Gois, Universidade Tiradentes

Universidade Tiradentes.

Rodolpho Bicalho Bento, Centro Universitário do Pará - CESUPA

Centro Universitário do Pará - CESUPA.

Bianca Maria de Negreiros Kastrup, UNESA

UNESA - Estácio. 

Afrânio Côgo Destefani, Higher School of Sciences EMESCAM

Santa Casa de Misericórdia de Vitoria Higher School of Sciences EMESCAM.

Vinícius Côgo Destefani, DynMolLab

Molecular Dynamics and Modeling Laboratory (DynMolLab).

Publicado

2024-08-12

Cómo citar

Gois, B. O., Bento, R. B., Kastrup, B. M. de N., Destefani, A. C., & Destefani, V. C. (2024). PIONEERING ADVANCEMENTS IN UROLOGY: ARTIFICIAL INTELLIGENCE, GENOMIC INSIGHTS, NOVEL TREATMENTS, DIAGNOSTICS, AND TARGETED THERAPIES TRANSFORMING PATIENT CARE. Revista Ibero-Americana De Humanidades, Ciências E Educação, 10(8), 1213–1221. https://doi.org/10.51891/rease.v10i8.15190