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Journal of Biomedical and Techno Nanomaterials
Published by Yayasan Adra Karima Hubbi
ISSN : 30481120     EISSN : 30481155     DOI : 10.70177/jbtn
Core Subject : Science,
Biochemistry, Genetics & Molecular Biology
Journal of Biomedical and Techno Nanomaterials is an international forum for the publication of peer-reviewed integrative review articles, special thematic issues, reflections or comments on previous research or new research directions, interviews, replications, and intervention articles - all pertaining to the research fields of medicine, pharmaceuticals, biomaterials, biotechnology, diagnosis and prevention of diseases, biomedical devices, bioinformatics, and all other related fields of biomedical and life sciences. All publications provide breadth of coverage appropriate to a wide readership in Biomedical and Techno Nanomaterials research depth to inform specialists in that area. We feel that the rapidly growing Journal of Biomedical and Techno Nanomaterials community is looking for a journal with this profile that we can achieve together. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Biokimia, Genetika dan Biologi Molekuler - Biokimia, Genetika dan Biologi Molekuler (Lain-Lain)
Articles 1 Documents
 1 
Search results for , issue "Vol. 3 No. 1 (2026)" : 1 Documents clear
ARTIFICIAL INTELLIGENCE IN BIOMEDICAL NANOTECHNOLOGY: FROM DIAGNOSIS TO THERAPY OPTIMIZATION Seojin, Choi; Doudou, Sabrina; Muntasir, Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v3i1.3210

Abstract

The integration of Artificial Intelligence (AI) with biomedical nanotechnology is revolutionizing medical diagnostics and therapy optimization. The combination of AI’s computational power with the unique properties of nanomaterials enables more accurate disease detection, personalized treatment plans, and optimized therapeutic outcomes. Traditional diagnostic techniques often suffer from limitations in sensitivity, specificity, and the ability to offer personalized treatments. Nanotechnology, particularly through the development of nanoparticle-based systems, offers significant improvements in targeting, drug delivery, and imaging. AI can further enhance these capabilities by enabling real-time data analysis, predictive modeling, and personalized medicine approaches. This research explores the applications of AI in biomedical nanotechnology, focusing on its role in diagnosis, therapy optimization, and the potential for improving patient outcomes. The study employs a comprehensive review of existing literature, case studies, and computational models to assess the impact of AI-driven nanotechnologies in clinical settings. The results highlight the promising outcomes in disease diagnosis, particularly in oncology, and the potential for AI to optimize therapeutic strategies by analyzing large-scale patient data. In conclusion, the integration of AI and biomedical nanotechnology offers substantial advancements in precision medicine, facilitating more accurate, efficient, and personalized healthcare solutions.

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