Secure Medical Diagnostics via Digital DNA Sequencing and Machine Learning
Abstract
This paper presents a cutting-edge web-based healthcare management system that offers safe and effective healthcare services while bridging the gap between hospitals, physicians, and patients. Hospitals can use the platform to manage physicians, register patients, and set service fees. Convenient hospital and doctor selection, safe payment processing, and a personalized token that allows encrypted contact with the selected physician are all available to patients. Patients and physicians may communicate easily thanks to the system's encrypted chat interface. Doctors use the Smith-Waterman method to examine DNA sequences uploaded by patients, producing accurate diagnosis results. The platform is managed by an administrator, who guarantees efficient operations and strong security compliance. The system uses the AES encryption method to safeguard private patient data, guaranteeing data integrity and confidentiality throughout transmission and storage. The technology provides a novel and individualized approach to contemporary healthcare by fusing secure communication channels with cutting-edge DNA analysis capabilities, promoting efficiency, security, and confidence in medical services.
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Copyright (c) 2025 Sushalini Ravi, Daphney Joann, Kayalvizhi Loganathan, Harinie Sekar

This work is licensed under a Creative Commons Attribution 4.0 International License.