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Research & Pubications

Nanotechnology in Cosmetic Formulations: Recent Advances, Applications, and Safety Perspective

Characterization, Synthesis, and Biological Activities of Silver Nanoparticles Produced via Green Synthesis Method Using Cordycep Millitaris

Characterization, Synthesis, and Biological Activities of Silver Nanoparticles Produced via Green Synthesis Method Using Cordycep Millitaris

Romaisa irfan | Frontier in Medical & Health Research, 2025 | Vol 3, Issue 10

Brief Description: This comprehensive review examines how nanotechnology-based delivery systems are revolutionizing cosmetic formulations. The paper covers applications in sunscreens, moisturizers, fragrances, and oral care, while addressing safety considerations

Romaisa irfan | Frontier in Medical & Health Research, 2025 | Vol 3, Issue 10

Brief Description: This comprehensive review examines how nanotechnology-based delivery systems are revolutionizing cosmetic formulations. The paper covers applications in sunscreens, moisturizers, fragrances, and oral care, while addressing safety considerations and biocompatibality. 


[View Full Paper] → links to https://fmhr.net/index.php/fmhr/article/view/1878[Download PDF] → links to https://fmhr.net/index.php/fmhr/article/download/1878/1508/3455

Characterization, Synthesis, and Biological Activities of Silver Nanoparticles Produced via Green Synthesis Method Using Cordycep Millitaris

Characterization, Synthesis, and Biological Activities of Silver Nanoparticles Produced via Green Synthesis Method Using Cordycep Millitaris

Characterization, Synthesis, and Biological Activities of Silver Nanoparticles Produced via Green Synthesis Method Using Cordycep Millitaris

Muhammad Afzal, Tayyaba Khan, Noshaba Mehmood, Romaisa Irfan, et al. | NANO, 2025 | Vol 21, Issue 11

DOI: 10.1142/S1793292025500365

🏆 Scopus Indexed

📊 Web of Science

Brief description : This research demonstrates a cost-effective and environmentally friendly green synthesis method for producing silver nanoparticles using Cordyceps militaris

Muhammad Afzal, Tayyaba Khan, Noshaba Mehmood, Romaisa Irfan, et al. | NANO, 2025 | Vol 21, Issue 11

DOI: 10.1142/S1793292025500365

🏆 Scopus Indexed

📊 Web of Science

Brief description : This research demonstrates a cost-effective and environmentally friendly green synthesis method for producing silver nanoparticles using Cordyceps militaris. The study includes comprehensive characterization using FTIR, UV-Vis spectroscopy, SEM, and GC-MS, along with evaluation of biological activities including antioxidant and antimicrobial properties.


View Full Paper] → links to https://www.worldscientific.com/doi/abs/10.1142/S1793292025500365[Download PDF] → links to ResearchGate or journal PDF

Nanoparticles-Based Delivery System for CRISPR-Mediated Gene Disruption and to Deliver CRISPR Cas9 Components to Cancer Cells

Characterization, Synthesis, and Biological Activities of Silver Nanoparticles Produced via Green Synthesis Method Using Cordycep Millitaris

Nanoparticles-Based Delivery System for CRISPR-Mediated Gene Disruption and to Deliver CRISPR Cas9 Components to Cancer Cells

Zainab Qaisar, Arbaz Akhtar, Romaisa Irfan, et al. | Journal of Medical & Health Sciences Review, 2025 | Vol 2, Issue 1
DOI: 10.62019/72qcvv27

Brief description: This research article explores an innovative lipid nanoparticle-based delivery system for CRISPR-Cas9 gene editing components targeting cancer cells. The study demonstrates signif

Zainab Qaisar, Arbaz Akhtar, Romaisa Irfan, et al. | Journal of Medical & Health Sciences Review, 2025 | Vol 2, Issue 1
DOI: 10.62019/72qcvv27

Brief description: This research article explores an innovative lipid nanoparticle-based delivery system for CRISPR-Cas9 gene editing components targeting cancer cells. The study demonstrates significant gene editing efficiency (>65%) in glioblastoma models and enhanced tumor-targeted delivery through antibody modification, achieving substantial tumor growth inhibition and improved survival outcomes.


[View Full Paper] → links to https://jmhsr.com/index.php/jmhsr/article/view/129[Download PDF] → (check if available on the journal site)

Hepcidin-Lead Axis in Patients with Chronic Kidney Disease

Detection and Analysis of Brain Tumors on the Basis of their Area and Density by Segmentation

Nanoparticles-Based Delivery System for CRISPR-Mediated Gene Disruption and to Deliver CRISPR Cas9 Components to Cancer Cells

Rabia Nazir, Muhammad Sarwar, Romaisa Irfan, et al. | The Research of Medical Science Review, 2024 | Vol 2, Issue 3
Pages: 1427-1436

Brief description: This clinical research investigates the bidirectional relationship between hepcidin, lead exposure, and chronic kidney disease progression in 75 participants. The study demonstrates signifi

Rabia Nazir, Muhammad Sarwar, Romaisa Irfan, et al. | The Research of Medical Science Review, 2024 | Vol 2, Issue 3
Pages: 1427-1436

Brief description: This clinical research investigates the bidirectional relationship between hepcidin, lead exposure, and chronic kidney disease progression in 75 participants. The study demonstrates significant correlations between elevated serum hepcidin levels, blood lead concentrations, and renal impairment markers, suggesting potential therapeutic strategies through hepcidin monitoring and lead exposure mitigation.


[View Full Paper] → links to https://medicalsciencereview.com/index.php/Journal/article/view/249[Download PDF] → (check if available)

Detection and Analysis of Brain Tumors on the Basis of their Area and Density by Segmentation

Detection and Analysis of Brain Tumors on the Basis of their Area and Density by Segmentation

Detection and Analysis of Brain Tumors on the Basis of their Area and Density by Segmentation

Neelam Shahzadi, Romaisa Irfan, Zainab Qaisar, Tabinda Razzaq, Afriaz Khan | Journal of Computing & Biomedical Informatics, 2024 | Vol 8, Issue 1

🏆 Scopus Indexed

Brief description: This computational research presents a computer-aided diagnosis system for automated brain tumor detection and classification using MRI image analysis. The stu

Neelam Shahzadi, Romaisa Irfan, Zainab Qaisar, Tabinda Razzaq, Afriaz Khan | Journal of Computing & Biomedical Informatics, 2024 | Vol 8, Issue 1

🏆 Scopus Indexed

Brief description: This computational research presents a computer-aided diagnosis system for automated brain tumor detection and classification using MRI image analysis. The study employs advanced image processing techniques including preprocessing, skull stripping, segmentation, and feature extraction to classify tumors as malignant or benign based on texture and shape characteristics, achieving high accuracy.


[View Full Paper] → links to https://jcbi.org/index.php/Main/article/view/745[Download PDF] → links to https://jcbi.org/index.php/Main/article/view/745/596



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