Bridging Molecular Insights and Technological Innovation: The Emerging Frontiers in Urology | Chapter 1 | Newer Frontiers in Urology, Volume II

 

Background: Urology has undergone a profound transformation over the past decade, evolving from a discipline centred on anatomy and conventional surgery into one driven by molecular diagnostics, technological innovation, and digital intelligence. Advances in immunohistochemistry, genomic profiling, minimally invasive and robotic surgery, regenerative medicine, and artificial intelligence (AI) have collectively reshaped disease understanding, diagnosis, and management.

 

Objective: This work aims to synthesise contemporary advances in urology by highlighting how molecular precision, surgical innovation, and data-driven technologies converge to deliver personalised, predictive, and precision-based patient care.

 

Methods: This narrative synthesis integrates evidence and thematic insights from multiple subdomains of modern urology, including molecular pathology in bladder cancer, endourological and robotic surgical innovations, regenerative and reproductive sciences, and AI-driven clinical decision support systems. Conceptual frameworks and representative clinical applications described across the chapters of this volume are analysed to illustrate translational integration.

 

Results: Molecular diagnostics, particularly immunohistochemistry and biomarker profiling such as HER2, have shifted pathology from descriptive morphology to functional, prognostic decision-making. Technological innovations in endourology and robotics have standardised and refined surgical practice through classification systems, advanced optics, and laser technologies. Regenerative and reproductive urology now incorporates molecular endocrinology, microbiome science, antioxidants, and stem cell-based approaches. AI and machine learning models enable rapid risk stratification, image interpretation, surgical guidance, and outcome prediction, supporting complex clinical decisions while maintaining transparency and accountability.

 

Conclusion: Modern urology represents a translational convergence of biology, technology, and data science. The field is transitioning from reactive care to proactive, individualised management while emphasising ethical practice, standardisation, and equitable access. This integrated approach defines the future of urology, balancing technological advancement with clinical judgment and patient-centred care.

 

 

Author(s) Details

Venkateshen Palaniyandi
Department of Urology & Renal Transplantation, Sri Ramachandra Institute of Higher Education & Research, Chennai, India.

 

Sriram Krishnamoorthy
Department of Urology & Renal Transplantation, Sri Ramachandra Institute of Higher Education & Research, Chennai, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/mono/978-93-47485-68-8/CH1

Stereotypic Sequential Grooming and an Experimental Model of Some Human Psychoneurotic Disorders| Chapter 5 | Perspective of Recent Advances in Medical Research Vol. 5

 Some reflex patterns of animal behavior, in the way that the syntactic grooming chain pattern of rodents, have a instead complex and stereotyped sequential structure, a pertaining to syntax grooming chain is a fixed operation pattern that serially links several grooming evolutions in 4 predictable developments that follow I pertaining to syntax rule. Grooming is an innate behavior that includes many functions. It has a dual character - it reflects comfort and stress. Auto educating is highly sensitive to stressors in addition to natural and artificial anxiolytics. Researchers believe that the study of experimental subject grooming is a good tool for translational neurobiological studies by way of aberrant combing, namely the synt actic chain of grooming. Disruption of allure cephalocaudal direction maybe used as an exploratory model for some human psycho-anxious disorders.

Author(s) Details:

Giorgi Andronikashvili,
I. Beritashvili Center for Experimental Biomedicine, Georgia.

Tea Gurashvili,
I. Beritashvili Center for Experimental Biomedicine, Georgia and Alterbridge University, Tbilisi, Georgia.

Tamila Bagashvili,
I. Beritashvili Center for Experimental Biomedicine, Georgia and Ivane Javakhishvili Tbilisi State University, Georgia.

Ketevan Gogeshvili,
I. Beritashvili Center for Experimental Biomedicine, Georgia.

Giorgi Kvernadze,
I. Beritashvili Center for Experimental Biomedicine, Georgia.

Mikheil Okujava,
I. Beritashvili Center for Experimental Biomedicine, Georgia and Ilia State University, Tbilisi, Georgia.

Senera Chipashvili,
I. Beritashvili Center for Experimental Biomedicine, Georgia.

Nino Akhobadze,
I. Beritashvili Center for Experimental Biomedicine, Georgia.

Please see the link here: https://stm.bookpi.org/PRAMR-V5/article/view/9141