IOT-ENHANCED CANCER TREATMENT: A STUDY OF HEREDITARY RISK, LIFESTYLE FACTORS, AND REAL-TIME MONITORING TECHNOLOGIES

Abstract

Shaping the universe of the Internet of Things (IoT) means rewriting how cancer treatment is given to patients. Research approach followed in this study is based on the comprehensive examination of IoT in carrying out cancer interventions through its part of real-time data collection and processing. Genetic predisposition determines cancer. Nevertheless, it is primarily unscrupulous management of such determinants in preventive care. IoT wearables and health monitoring wearables take pictures and allow continuous tracking of high-risk patients for cancer so that any deviation can activate proper preventive measures. Based on what is now understood, healthcare professionals stop the route of mere treatment of disease and rearrange their models into more and more predictive ones. Along the way, with the development of these devices, it becomes possible for the genetic mutation and the biomarker to be monitored in real-time. Lifestyle risk factors are mostly linked with cancer growth and development, including diet, activity, and exposure to carcinogens. IoT devices with wearable sensors and mobile health apps can define to patients exactly how active they are and the behaviours they are in their environment. For instance, air pollution sensors can detect an amount of pollutants that are linked to lung cancer, and fitness trackers can incentivize behavior as safety procedures. Such a change raises consumer engagement, which fosters the development of improved practices and reduction in risk factors. The unique characteristic of IoT in oncology, direct monitoring, provides real-time and constant feedback of various physiological states of the patients. Smart implants and biosensors are among the networked devices that generate real-time information about tumors, efficacy of treatment, and side effects. With this constantly growing amount of data, strategic planning is enhanced so that the treatment programs can be modified more effectively and accurately. Real-time monitoring enables deviation from the conventional cancer treatment to more sophisticated medicine, under strict monitoring and observation of any genetic hazards and lifestyle habits. The approach results in improved clinical outcomes and allows patients to take an active role in the self-management of their health. With the development of such IoT technologies, there is unlimited potential for revolutionizing the prevention and treatment of cancer, ultimately paving the way for the future of personalized, preventive, and patient-centered oncology.