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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 4 Documents
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Search results for , issue "Vol. 2 No. 4 (2025)" : 4 Documents clear
ARTIFICIAL INTELLIGENCE IN MEDICINE: A DEEP LEARNING CONVOLUTIONAL NEURAL NETWORK FOR PATHOLOGICAL IMAGE ANALYSIS AND CANCER GRADING Smith, James; Harris, Oliver; Anurogo, Dito
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i4.2480

Abstract

The histopathological analysis of tissue slides is the gold standard for cancer diagnosis and grading. However, this process is labor-intensive, time-consuming, and prone to inter-observer variability, which can affect clinical outcomes. The advent of artificial intelligence (AI), particularly deep learning, presents a transformative opportunity to enhance diagnostic precision and efficiency in pathology. This study aimed to develop, train, and validate a deep learning convolutional neural network (CNN) for the automated analysis of pathological images to accurately classify malignancies and provide reliable cancer grading. A robust CNN model was trained on a comprehensive, curated dataset of thousands of annotated digital histopathology slides from multiple cancer types. The model’s performance was rigorously evaluated against the consensus diagnoses of expert pathologists using key metrics, including accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC-ROC). Our developed CNN model demonstrated exceptional performance, achieving an overall accuracy of 98.7% in distinguishing malignant from benign tissues. For cancer grading, the model yielded a Cohen’s Kappa score of 0.92, indicating almost perfect agreement with expert pathologists. The model also showed high robustness to variations in staining and image acquisition protocols. This research confirms that a deep learning CNN can function as a highly accurate and reliable tool for automated pathological image analysis and cancer grading. Integrating such AI systems into clinical workflows could significantly augment the capabilities of pathologists, leading to improved diagnostic consistency, reduced workload, and ultimately, better patient care.
TARGETED GENE SILENCING OF KRAS ONCOGENES IN PANCREATIC CANCER USING SIRNA-LOADED GOLD NANOPARTICLES Ahmed, Shakib; Islam, Zahidul; El Balqis, Fatimah
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i4.2516

Abstract

Pancreatic cancer, predominantly driven by mutations in the KRAS oncogene, remains one of the most lethal malignancies due to its resistance to conventional therapies. RNA interference (RNAi) using small interfering RNA (siRNA) presents a powerful strategy to silence oncogenes, but its clinical application is liited by the poor stability and inefficient delivery of naked siRNA. This study aimed to develop and validate a targeted nanodelivery system using gold nanoparticles (AuNPs) to efficiently deliver KRAS-specific siRNA and induce potent gene silencing in pancreatic cancer cells. A nanoconjugate was synthesized by attaching thiol-modified siRNA targeting the G12D-mutant KRAS gene to PEGylated gold nanoparticles. The physicochemical properties of the siRNA-AuNPs were characterized. The platform’s efficacy was evaluated in vitro using the PANC-1 human pancreatic cancer cell line. KRAS expression was quantified via qRT-PCR and Western blot, while cellular viability and apoptosis were assessed using MTT and flow cytometry assays, respectively. The synthesized siRNA-AuNPs exhibited excellent stability and were efficiently internalized by the cancer cells. This targeted delivery resulted in a significant downregulation of KRAS mRNA and protein expression by over 75% (p < 0.01) compared to controls. Consequently, this oncogene silencing led to a substantial inhibition of cancer cell proliferation and a marked increase in apoptosis. Gold nanoparticles serve as a highly effective and robust vector for the targeted delivery of siRNA. This nanomedicine platform successfully silences the critical KRAS oncogene, inducing cell death in pancreatic cancer cells and representing a promising new avenue for targeted cancer therapy.
PHARMACEUTICAL NANOTECHNOLOGY: FORMULATION AND IN VIVO EVALUATION OF CURCUMIN-LOADED NANOSUSPENSIONS FOR ENHANCED ANTI-INFLAMMATORY EFFICACY Issusilaningtyas, Elisa; Williams, Sarah; Muntasir, Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i4.2523

Abstract

Curcumin, a natural polyphenol derived from Curcuma longa, is well-regarded for its potent anti-inflammatory properties. However, its therapeutic application is severely hampered by its extremely low aqueous solubility and poor oral bioavailability, which leads to suboptimal absorption and limited clinical efficacy. Pharmaceutical nanotechnology offers a promising strategy to overcome these biopharmaceutical challenges. This research aimed to formulate a stable curcumin nanosuspension to significantly enhance its dissolution rate and bioavailability, and to subsequently evaluate its improved anti-inflammatory efficacy in an in vivo model. A curcumin nanosuspension was prepared using the high-pressure homogenization technique, stabilized with Poloxamer 188. The formulation was characterized for particle size, polydispersity index (PDI), and zeta potential. An in vivo anti-inflammatory study was conducted using the carrageenan-induced paw edema model in Wistar rats, comparing the efficacy of the nanosuspension against a conventional coarse curcumin suspension. The optimized nanosuspension exhibited a narrow particle size distribution with a mean diameter of 210 nm and a zeta potential of -28.5 mV, indicating good physical stability. The in vivo evaluation demonstrated that the curcumin nanosuspension produced a significantly greater inhibition of paw edema (72.4%) compared to the coarse curcumin suspension (28.1%) at the same dose (p < 0.01). Formulating curcumin into a nanosuspension is a highly effective strategy for overcoming its inherent bioavailability limitations. This nanotechnological approach dramatically enhances curcumin’s anti-inflammatory activity, validating its potential as a powerful therapeutic agent for inflammatory conditions.
DEVELOPMENT OF PH-RESPONSIVE POLYMERIC MICELLES FOR TARGETED DOXORUBICIN DELIVERY TO HYPOXIC TUMOR MICRO-ENVIRONMENTS Saida, Fathimath; Dorji, Jigme; Ríos, David
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i4.2973

Abstract

Hypoxic tumor micro-environments are characterized by abnormal vascularization and acidic extracellular pH, which significantly reduce the effectiveness of conventional chemotherapy and contribute to therapeutic resistance. Doxorubicin, although widely used, suffers from severe systemic toxicity and limited selectivity toward hypoxic tumor regions. This study aims to develop pH-responsive polymeric micelles capable of selectively delivering doxorubicin to hypoxic tumor micro-environments by exploiting endogenous acidity as a biological trigger. An experimental laboratory-based design was employed involving the synthesis of amphiphilic block copolymers, micelle self-assembly, physicochemical characterization, and in vitro biological evaluation under normoxic and hypoxic conditions. Particle size, stability, drug loading, and pH-dependent release behavior were systematically assessed, followed by cytotoxicity, cellular uptake, and three-dimensional tumor spheroid studies. The developed micelles exhibited uniform nanoscale size, high encapsulation efficiency, minimal drug leakage at physiological pH, and accelerated drug release under mildly acidic conditions representative of hypoxic tumors. Enhanced intracellular doxorubicin accumulation, deeper tumor penetration, and significantly increased cytotoxicity under hypoxia were observed compared to non-responsive micelles and free drug. These findings demonstrate that pH-responsive polymeric micelles provide an effective and biologically informed platform for targeted chemotherapy in hypoxic tumor micro-environments, offering promising potential for improving therapeutic efficacy while reducing systemic toxicity.  

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