Rudy Alejandro Herrera Rosales

Minimally invasive surgery has undergone significant transformation with the emergence of next-generation laparoscopy, characterized by the integration of ergonomic optimization, advanced visualization technologies, and intelligent assistance systems. This review aims to analyze the current state and future perspectives of laparoscopic surgery through these three core domains, emphasizing their combined impact on surgical performance, intraoperative safety, and clinical outcomes. A narrative review of high-impact literature published from 2020 onward was conducted, focusing on technological advancements and their application across diverse healthcare settings. The findings indicate that ergonomics remains a critical factor influencing surgeon performance and long-term sustainability, while innovations in visualization—such as three-dimensional imaging and fluorescence guidance—enhance spatial perception and operative precision. Additionally, the incorporation of artificial intelligence is redefining surgical workflows by enabling real-time analysis, safety assessment, and decision support. Despite these advances, disparities in access and implementation persist, particularly in middle-income regions such as Mexico, Colombia, and Ecuador. The evidence suggests that a progressive and context-adapted integration of these technologies is essential to ensure both innovation and accessibility. Ultimately, next-generation laparoscopy represents a shift toward a more integrated, data-driven, and human-centered surgical paradigm.

Tumor adaptation and therapeutic resistance remain central challenges in modern oncology despite significant advances in targeted therapy and immunotherapy. Contemporary evidence indicates that resistance is not an isolated pharmacologic failure but an emergent property of evolving tumor ecosystems characterized by intratumoral heterogeneity, clonal selection, immune modulation, and tumor microenvironmental support. This review synthesizes landmark mechanistic and translational studies to construct an integrated framework linking evolutionary dynamics, signaling plasticity, immune escape, and precision oncology implementation. Across targeted therapies, resistance frequently develops through pathway reactivation, bypass signaling, and adaptive rewiring under selective pressure. In immunotherapy, resistance involves immune editing, checkpoint regulation complexity, impaired antigen presentation, and stromal-mediated immune exclusion. The tumor microenvironment further stabilizes therapy-tolerant populations through niche protection and cytokine-driven suppression. Genome-driven oncology provides a translational pathway for personalization; however, effective precision strategies must be dynamic and iterative, accounting for tumor evolution rather than relying on static baseline profiling. This integrative perspective supports improved therapeutic reasoning, multidisciplinary decision-making, and context-adapted implementation in diverse healthcare systems, including emerging oncology infrastructures in Latin America. Understanding resistance as an evolutionary and ecological phenomenon strengthens both clinical strategy design and advanced oncology education.

Minimally invasive and robotic-assisted surgery has evolved into a defining component of contemporary operative care, reshaping technical performance, institutional organization, and health system strategy. This review analyzes the clinical impact, ethical implications, and structural transformation associated with robotic integration in surgery, synthesizing high-impact literature across randomized trials, systematic analyses, implementation research, innovation frameworks, and economic evaluations. Evidence indicates that robotic platforms offer measurable advantages in selected high-complexity procedures, particularly in anatomically confined surgical fields, while demonstrating heterogeneous benefits across broader procedural categories. The distribution of evidence highlights a strong emphasis on technological evolution and operational implementation, with comparatively fewer long-term randomized comparative trials. Economic analyses reveal context-dependent cost-effectiveness, closely linked to procedural volume and institutional capacity. Ethical and regulatory considerations, including accountability, algorithmic transparency, and informed consent adaptation, emerge as increasingly relevant as AI-assisted functionalities expand. In middle-income healthcare systems such as those of Mexico, Colombia, and Ecuador, robotic adoption reflects both technological advancement and structural challenges related to sustainability and equitable access. The findings support the importance of structured innovation governance, particularly staged evaluation models, to ensure responsible diffusion. Robotic-assisted minimally invasive surgery should therefore be understood not solely as a technical enhancement, but as a multidimensional transformation requiring coordinated clinical, economic, and regulatory alignment.