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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 6 Documents
 1 
Search results for , issue "Vol. 3 No. 1 (2026)" : 6 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.
MICRO AND NANO-ELECTROMECHANICAL SYSTEMS (BIO-MEMS/NEMS) FOR BIOMEDICAL APPLICATIONS Sok, Vanna; Kiri, Ming; Dara, Ravi
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.v3i1.3558

Abstract

Micro and nano-electromechanical systems (Bio-MEMS/NEMS) have emerged as pivotal technologies in the biomedical field, offering the potential for precise diagnostics, targeted drug delivery, and real-time monitoring of biological systems. These systems integrate mechanical, electrical, and biological components at micro- and nanoscale levels, enabling the development of highly sensitive, compact devices. Despite their promise, challenges related to material selection, biocompatibility, and scalability remain critical barriers to their widespread adoption in medical applications. The aim of this study is to explore the potential of Bio-MEMS/NEMS for various biomedical applications, including disease diagnosis, therapeutic interventions, and health monitoring. The research focuses on evaluating the performance, functionality, and biocompatibility of these systems in clinical environments. A systematic review of existing literature and case studies was conducted, focusing on Bio-MEMS/NEMS technologies used in diagnostic devices, biosensors, and drug delivery systems. Experimental data from in vitro and in vivo studies were analyzed to assess device performance and safety. The findings highlight the remarkable capabilities of Bio-MEMS/NEMS, particularly in terms of sensitivity, precision, and integration with biological systems. However, challenges such as biofouling, tissue integration, and long-term stability remain unresolved. Bio-MEMS/NEMS present significant opportunities for advancing medical technologies, but further research is necessary to overcome existing limitations and ensure the safe and effective application of these systems in clinical practice.
PERSONALIZED NANOMEDICINE APPROACHES ENABLED BY BIOINFORMATICS AND MACHINE LEARNING Li, Zhang; Mei, Chen; Jing, Wang
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.v3i1.3559

Abstract

Personalized nanomedicine has emerged as a promising approach to tailor treatments to individual patients, enhancing therapeutic efficacy while minimizing side effects. The integration of bioinformatics and machine learning (ML) has the potential to revolutionize this field by enabling more precise and efficient drug delivery systems, biomarker identification, and therapeutic strategies. However, the full potential of these technologies in personalized nanomedicine remains underexplored. This study aims to explore how bioinformatics and machine learning can enable personalized nanomedicine approaches, particularly in the areas of drug delivery optimization, patient-specific treatment planning, and biomarker discovery. The research investigates the application of these technologies in identifying individualized treatment strategies and improving patient outcomes. A systematic review of the current literature on bioinformatics, machine learning, and personalized nanomedicine was conducted. Case studies and experimental research using these technologies were analyzed to identify trends, applications, and challenges. Machine learning models were applied to bioinformatics datasets to predict drug responses and optimize nanomedicine formulations. The study found that bioinformatics and ML significantly enhance the accuracy of drug efficacy predictions, biomarker identification, and the design of personalized nanomedicine treatments. Furthermore, these technologies have improved patient-specific therapy optimization in clinical trials. The combination of bioinformatics and machine learning holds great promise for advancing personalized nanomedicine, offering tailored therapeutic solutions that improve patient outcomes and treatment efficiency.
BIOMIMETIC NANOMATERIALS FOR ADVANCED BIOMEDICAL IMPLANTATION Thai, Aom; Chai, Nong; Chai, Som
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.v3i1.3560

Abstract

Biomimetic nanomaterials, inspired by natural systems, have gained significant attention in the field of biomedical implants due to their ability to mimic the properties of biological tissues. These materials offer advantages such as enhanced biocompatibility, improved mechanical properties, and the potential to promote tissue regeneration. The integration of biomimetic nanomaterials into biomedical implants could revolutionize the field of medical devices by improving their functionality and longevity. This study aims to explore the development and application of biomimetic nanomaterials for advanced biomedical implantation. The research focuses on evaluating their mechanical, biological, and functional properties to determine their suitability for use in medical implants. A systematic review of the latest studies on biomimetic nanomaterials for biomedical applications was conducted. Materials such as hydroxyapatite, collagen-based nanomaterials, and nanostructured metals were analyzed for their properties, performance, and potential for use in various implant types. In vitro and in vivo studies were included to assess biocompatibility and efficacy. The findings demonstrate that biomimetic nanomaterials significantly improve the performance of biomedical implants. These materials exhibit superior biocompatibility, enhanced cell adhesion, and promote better tissue integration compared to conventional materials. Biomimetic nanomaterials offer promising solutions for advanced biomedical implants. Their ability to closely mimic biological tissue properties enhances implant functionality and integration, leading to improved patient outcomes.
PRECLINICAL EVALUATION OF NANOMATERIAL-BASED THERAPEUTICS FOR TRANSLATIONAL MEDICINE Teo, Ryan; Tan, Ethan; Lee, Ava
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.v3i1.3561

Abstract

Nanomaterial-based therapeutics have shown immense promise in translational medicine, offering innovative solutions for targeted drug delivery, cancer therapy, and regenerative medicine. The unique properties of nanomaterials, including their high surface area, biocompatibility, and ability to be engineered for specific functions, make them ideal candidates for improving the precision and efficacy of medical treatments. However, the preclinical evaluation of these nanomaterials is critical to ensuring their safety, efficacy, and clinical applicability. This study aims to evaluate the preclinical performance of nanomaterial-based therapeutics in the context of translational medicine. The research focuses on assessing the pharmacokinetics, biocompatibility, and therapeutic efficacy of nanomaterials in animal models to determine their potential for clinical translation. A series of preclinical tests were conducted using animal models to assess the pharmacokinetics, biodistribution, and toxicity of various nanomaterials. Therapeutic efficacy was evaluated through specific disease models, including cancer and wound healing, using both in vitro and in vivo techniques. The study demonstrated that nanomaterial-based therapeutics exhibited promising pharmacokinetics and high therapeutic efficacy, with minimal toxicity. Nanomaterials showed targeted drug delivery and enhanced therapeutic outcomes in preclinical models, particularly in cancer therapy. Nanomaterial-based therapeutics hold significant potential for advancing translational medicine. Preclinical evaluations confirm their promise for targeted therapy, though further research on long-term safety and clinical translation is needed.
INTEGRATION OF NANOTECHNOLOGY AND REGENERATIVE MEDICINE FOR NEXT-GENERATION HEALTHCARE SOLUTIONS Iqbal, Kiran; Shah, Ahmed; Hussain, Sara
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.v3i1.3562

Abstract

Nanotechnology and regenerative medicine are two rapidly evolving fields with the potential to transform healthcare by providing advanced solutions for tissue repair, disease treatment, and personalized medicine. The integration of nanotechnology with regenerative medicine offers the opportunity to enhance the efficacy of stem cell therapies, drug delivery systems, and tissue engineering, enabling more precise and effective treatments. Despite promising results, challenges remain regarding the scalability, biocompatibility, and long-term safety of nanomaterials in clinical applications. This study aims to explore the integration of nanotechnology with regenerative medicine to develop next-generation healthcare solutions. It focuses on evaluating the potential applications, challenges, and future directions of nanomaterial-based therapies in tissue regeneration and disease management. A systematic review of the current literature on nanotechnology and regenerative medicine was conducted. The review included studies on nanomaterials used for tissue engineering, drug delivery, and stem cell therapies. In vitro and in vivo research data were analyzed to assess the effectiveness and biocompatibility of nanomaterial-based approaches. The findings indicate that nanomaterial-based systems significantly improve the performance of regenerative medicine therapies, offering enhanced tissue regeneration, targeted drug delivery, and better integration with biological systems. However, issues like material stability and immune response remain. The integration of nanotechnology and regenerative medicine holds significant potential for advancing healthcare solutions. Addressing the current challenges will be critical for the successful translation of these technologies into clinical practice.

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