From Lab to AI: The Impact of ERMP۱ Knockdown on Pancreatic Cancer with Continuous Health Monitoring

Background and Aims: Pancreatic cancer emerges as a dangerous form of malignancy while offering very few available treatment possibilities. The cancer progression relationship exists between pancreatic tumors and the Endoplasmic Reticulum Metallopeptidase ۱ gene. We evaluated MIA PaCa-۲ cell autophagy and unfolded protein response (UPR) using shRNA against ERMP۱ to observe the effects. On the other hand a mobile health application was created to track genetic and biological data consistently which helped predict the development or recurrence of cancer according to individual needs. Methods: Specific shRNA enabled long-term ERMP۱ expression reduction in MIA PaCa-۲ cells which was confirmed by measuring gene expression level through RT-qPCR. Cancer-related markers were analyzed. An app for mobile health allowed users to enter their dietary habits and lifestyle data including exercise and eating habits and sleep cycles by connecting to sensors that measured biomarkers from blood testers. The mobile application uses biomarker trend analysis to review dietary modification relationships and provides individualized suggestions through this data correlation. Results: Knocking down ERMP۱ expression levels resulted in major reductions of cancer-related genes according to laboratory analysis and proved it could be a therapeutic target. Biomarkers under the application's system get monitored effectively while real-time feedback arrives through visual dashboard displays. The application alerts users while providing custom life advice through which users can modify their diet based on how their selected nutritional modifications affect designated biomarkers. Conclusion: By combining lab research findings with advanced mobile health (mHealth) tech, including AI-powered diagnostic tools and IoT monitoring systems that offer personalized diet and lifestyle advice, we can improve how we spot cancer, tailor treatments to each patient, and manage cancer care. This marks a big change in patient care focusing on individual health needs and using tech to boost health results. These systems give complete suggestions based on each patient's unique situation. This new approach puts