https://preferpub.org/index.php/kindle/issue/feed Kindle 2026-01-30T12:44:55+0330 PreferPub preferpub@gmail.com Open Journal Systems <p>PreferPub is a reputable international publisher that specializes in peer-reviewed academic works. All books will undergo a rigorous, blinded peer review by at least two academic professionals. Although PreferPub receives academic books directly for review and potential publication, it also facilitates the indexing of books from other publishers and sources, including Kindle, OpenAIRE, and others, if accepted through our peer review process.</p> <p>PreferPub is a prestigious international academic publisher dedicated to the dissemination of cutting-edge research and scholarly knowledge. 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Its dedication to academic excellence, commitment to collaboration, and global accessibility make it a preferred choice for researchers and authors seeking a reputable platform to disseminate their scholarly works.</p> <p>International Standard Name Identifier (<em>ISNI</em>): 0000 0005 0681 0933</p> https://preferpub.org/index.php/kindle/article/view/Book65 AI for Self-Diagnosis, Self-Monitoring, and Personalized Medicine 2026-01-30T12:39:10+0330 Mehrdad Farrokhi preferpub@gmail.com Horrieh Abbasmofrad preferpub@gmail.com Mitra Karami preferpub@gmail.com Hossein Boustani Hezarani preferpub@gmail.com Seyed Shahabedin Alemohammad preferpub@gmail.com Javaneh Atighi preferpub@gmail.com Peyman Alipoor preferpub@gmail.com Maryam Savardashtaki preferpub@gmail.com Mahya Naghipoor-Alamdari preferpub@gmail.com Farhad Shafiei preferpub@gmail.com Delaram Naderi preferpub@gmail.com Omid Fakharzadeh Moghadam preferpub@gmail.com Behnaz Shirgir preferpub@gmail.com Maryam Masoumzadeh preferpub@gmail.com Asma Sepahdar preferpub@gmail.com Zahra Tajik preferpub@gmail.com Mehdi Mohammadpour preferpub@gmail.com Ardeshir Zargar preferpub@gmail.com Behzad Paeizi preferpub@gmail.com Farzad Esfandyari preferpub@gmail.com Hamed Sabzehie preferpub@gmail.com Mina Ghazali preferpub@gmail.com Amirali Mohammadi preferpub@gmail.com Meisam Sargazi preferpub@gmail.com Reza Judi Chelan preferpub@gmail.com Amirreza Sabahizadeh preferpub@gmail.com Amirhossein Bahador preferpub@gmail.com Negareh Salehabadi preferpub@gmail.com Sanaz Amiri Marbini preferpub@gmail.com Saman Abdollahpour preferpub@gmail.com Parsa Farzan preferpub@gmail.com Khadijeh Harati preferpub@gmail.com <p>The integration of Artificial Intelligence into healthcare is fundamentally reshaping how we approach personal wellness, moving from reactive treatment to proactive, continuous self-management. AI algorithms, particularly those leveraging machine learning and deep learning, excel at processing vast, complex datasets, including genomic information, real time wearable sensor data, electronic health records, and lifestyle inputs, to derive insights far beyond human cognitive capacity. This capability empowers individuals with sophisticated self-diagnosis tools, often via conversational AI interfaces or analysis of uploaded medical imagery, offering preliminary risk assessments and identifying patterns indicative of specific conditions before symptoms become severe. Furthermore, AI drives continuous self-monitoring by creating intelligent digital health companions. These systems analyze streams of data from smartwatches or home diagnostics to track vital signs, sleep quality, and activity levels, flagging subtle deviations from an established baseline. This constant vigilance allows for immediate, personalized feedback, such as recommending a dietary change or suggesting a consultation, thereby enhancing adherence to health protocols. The ultimate promise lies in personalized medicine. By integrating individual biological profiles with population level data, AI can predict how a specific person will respond to different drugs or therapies. This moves healthcare away from one size fits all treatments toward highly tailored interventions, optimizing efficacy while minimizing adverse effects. This revolution promises a future where health management is deeply integrated, highly accurate, and uniquely tailored to the individual’s evolving biological needs, fostering unprecedented autonomy in one’s health journey.</p> 2026-01-30T00:00:00+0330 Copyright (c) 2026 PreferPub and Kindle