Computational Modeling of Personalized Cancer Treatments Integrating Genomics, Immunotherapy, and Targeted Treatments using DEMATEL Method

The advent of precision medicine has marked a new Head and neck in cancer treatment, where therapeutic approaches are customized of each patient tumor individual genetics and molecular based on the characteristics. Standard practice now involves genomic profiling, which allows clinicians to pinpoint specific genetic mutations and alterations responsible for driving cancer growth. Armed with this information, targeted therapies can be chosen to disrupt these particular pathways. Additionally, liquid biopsies provide a noninvasive method for monitoring genetic changes over time, assisting in treatment adjustments and the identification of resistance mechanisms. The research significance lies not only in these individual advancements but in their synergistic integration. Comprehensively understanding the genomic landscape allows for the identification of actionable targets, which can then be exploited by targeted therapies. The interplay between genomics and immunotherapy, as well as the potential additive or synergistic effects of combined treatments, are areas of active investigation. Furthermore, the incorporation of personalized therapies into clinical practice represents a shift towards more individualized and effective treatment strategies. This is particularly crucial in head and neck cancer, where heterogeneity in tumor biology necessitates tailored approaches for optimal outcomes. As these advancements progress, ongoing clinical trials play a pivotal role in validating their efficacy, safety, and long-term impact on patient survival and quality of life. Personalized Medicine and Genomic Profiling, Public Health Initiatives and Prevention, Epidemiology and Risk Factors, Clinical Presentation and Diagnosis and Treatment Modalities. the DEMATEL-based ranking of Advancements in Personalized Therapies for Head and Neck Cancer, Personalized Medicine and Genomic Profiling secure the top position, while Clinical Presentation and Diagnosis obtain the lowest rank.