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📢 Latest Update: New special issue call for papers on "Emerging Technologies in Research" - Submit by March 31, 2025

📢 Latest Update: New special issue call for papers on "Emerging Technologies in Research" - Submit by March 31, 2025

March 2025

Volume 2, Issue 3 - $2025

Volume 2 Issue 3 Cover

Issue Details:

Volume 2 Issue 3
Published:Invalid Date

Editorial: March 2025

Welcome to the 2025 issue of Journal of Pharmaceutical Research and Integrated Medical Sciences. This issue showcases the remarkable breadth and depth of contemporary research across multiple disciplines. From cutting-edge applications of machine learning in climate science to the revolutionary potential of quantum computing in drug discovery, our featured articles demonstrate the power of interdisciplinary collaboration in addressing global challenges.

We are particularly excited to present research that bridges traditional academic boundaries, reflecting our journal's commitment to fostering innovation through cross-disciplinary dialogue. The integration of artificial intelligence with environmental science, the application of blockchain technology to supply chain management, and the convergence of urban planning with smart city technologies exemplify the transformative potential of collaborative research.

As we continue to navigate an era of rapid technological advancement and global challenges, the research presented in this issue offers both insights and solutions that will shape our future. We thank our authors, reviewers, and editorial board members for their continued dedication to advancing knowledge and promoting scientific excellence.

Dr. Arpan Kumar Tripathi
Editor-in-Chief
Journal of Pharmaceutical Research and Integrated Medical Sciences

Articles in This Issue

Showing 5 of 5 articles
Research PaperID: JPRIMS320049

Advances In Nanoparticle-Based Drug Delivery Systems: A Pharmaceutics Perspective

Hemkanti Patel, Harshalata Kanwar

Nanoparticle-mediated drug delivery systems have revolutionized the science of pharmaceutics by overcoming pivotal issues related to traditional drug administration, including solubility limitations, fast degradation, and systemic toxicity. Such systems employ several nanoscale carriers, like liposomes, polymeric nanoparticles, dendrimers, and solid lipid nanoparticles, each for increasing drug stability, bioavailability, and target-oriented delivery to the desired tissue or cellular receptors. The inclusion of surface modifications, for example, ligand functionalization and PEGylation, have greatly enhanced nanoparticle circulation time, decreased immune clearance, and enabled targeted delivery of drugs with high accuracy, thus improving therapeutic efficacy while lowering toxicity. In addition, novel developments in hybrid nanoparticle platforms that combine organic and inorganic components have enhanced the functionality of drug carriers, enabling improved tunability in drug release kinetics. Besides that, the establishment of stimuli-sensitive nanoparticles that respond to physiological signals like pH, temperature, or enzymatic actions has made high-level and target-specific drug delivery possible, still enhancing therapeutic impacts. In contrast to these prospects, however, issues like scaling up production for large quantities, high cost, regulatory challenges, and long-term toxicity are outstanding impediments against extensive clinical up-take. Overcoming these limitations by sustained research in the fields of nanotechnology, materials science, and biomedical engineering is imperative for the optimal use of nanoparticle-based drug delivery platforms. With progressive development, such systems are well-positioned to become a revolutionizing force behind precision medicine, especially in cancer treatment, neurodegenerative disorders, and infectious diseases, paving the way to more efficacious and patient-specific therapeutic regimens

FICIConventional AntibioticsCefiximeHerbal ExtractsSynergistic Activity
3,815 views
1,141 downloads

Contributors:

 Hemkanti Patel
,
 Harshalata Kanwar
Research PaperID: JPRIMS320050

Nanosome: As Carrier for Drug DeliveryV

V Madhukar, D. K. Biswas, Arpan Tripathi

Inquisitions made in the field of new delivery system leads to prevent various problem and difficulties associated with conventional therapy and could led to the development of several vesicular systems. Advancements in this field have led to the emergence of nanorange delivery system among which Nanosome have achieved the prime importance as they are not taken up by the RES by which the rapid clearance of the drug is inhibited, the major drawback associated with other vesicular systems. A Nanosome is a phospholipids Bilayer vesicle that is nanometer in size and made up of one or more lipid bilayers. Because they share molecular traits with mammalian cell membranes, they are generally non-toxic, non-antigenic, and biodegradable. The current review deals with the classification, properties, method of preparation, and mode of transport and characterization parameters of Nanosome with an overlook on its applications.

Precision Medicine Applications.ArticleStimuli-Responsive NanoparticlesPEGylation and Surface ModificationBioavailability EnhancementTargeted Drug DeliverNanoparticle-Based Drug Delivery
3,491 views
1,154 downloads

Contributors:

 V Madhukar
,
 D. K. Biswas
,
 Arpan Tripathi
Research PaperID: JPRIMS320051

Exploring The Role of Artificial Intelligence in Early Diagnosis of Diabetes

v Madhukar, Deepak Biswas

Increasing accuracy and efficiency together with diagnosis predictability makes artificial intelligence (AI) revolutionize healthcare sector operations. This paper explores how artificial intelligence (AI) detects early-stage diabetes mellitus as a metabolic chronic disease that shows increasing global prevalence. The objective of this research study evaluates how different artificial intelligence approaches including machine learning, deep learning, and natural language processing (NLP) function in terms of methods, accuracy level as well as data collection protocols and their practical clinical benefits. Research indicates that ensemble machine learning models alongside convolutional neural networks (CNNs) demonstrate superior identification abilities for detecting diabetes problems early on. The data quality issues along with generalization problems and limitations for clinical practice require further investigation.

PharmacosomesNiosomesLiposomesMicrocapsuleMicroparticleNanosome+1 more
3,604 views
1,154 downloads

Contributors:

 v Madhukar
,
 Deepak Biswas
Research PaperID: JPRIMS320052

Development of Biodegradable Polymers for Environmental Sustainability

Neha Mandle, Shahbaz Rathor

Biodegradable polymers present an environmentally safe alternative to reduce plastic waste by replacing traditional petroleum-based plastics. This review covered their classification, synthesis, properties, applications, and limitations, with examples of natural polymers, for example, starch and cellulose, and synthetic polymers like polylactic acid (PLA), polyhydroxyalkanoates (PHA), polybutylene succinate (PBS), and polycaprolactone (PCL). Different synthesis techniques, including bacterial fermentation, polymerization, and blending, were discussed for their advantages and disadvantages. These polymers have many uses in industry, including packaging, agriculture, biomedical applications, and textiles, but some limiting conditions exist, such as high processing costs, mechanical strength, and biological dependence for breakdown. To overcome these obstacles, a range of factors such as cheap feedstocks, genetic engineering, and improved processing, including green catalysts and nanocomposites, are worth investigating. It is also important to contextualize biodegradability in real-world cases that will shed light on the actual impact these polymers will have on the environment. If we continue this innovative research, amending policies, and work together as a sector, then biodegradable polymers will lead sustainable initiatives and drive us in the right direction towards a circular economy.

Data Quality.Clinical ImplementationPredictive ModelingConvolutional Neural Networks (CNNs)Natural Language Processing (NLP)Deep Learning (DL)+4 more
3,844 views
1,304 downloads

Contributors:

 Neha Mandle
,
 Shahbaz Rathor
Research PaperID: JPRIMS320053

Mechanistic Insights into Enzyme Catalysis and Biochemical Reactions

Rashmi Chanda, Harshalata Kanwar

This study discusses the complex mechanisms through which enzymes catalyze biochemical reactions, highlighting their efficiency, specificity, and structural flexibility. Acid-base catalysis, covalent catalysis, metal ion catalysis, and transition state stabilization are some of the distinct yet combined catalytic techniques that enzymes use to lower activation energy and speed up reactions. Our understanding of enzyme-substrate interactions, conformational change, and reaction kinetics has significantly increased thanks to advancements in structural biology techniques including X-ray crystallography, cryo-electron microscopy (cryo-EM), and molecular dynamics simulations. The understanding developed through enzymology has deep-rooted impacts across a range of disciplines, from drug development where enzyme inhibitors are key to the treatment of diseases like HIV and hypertension to biotechnology, where designed enzymes are transforming industrial catalysis, biofuel manufacture, and bioremediation. Furthermore, the coupling of artificial intelligence (AI) and machine learning is opening up possibilities for predictive modeling and the development of new biocatalysts with designed functions. Although enzyme research has come a long way, it is still challenging to capture transient catalytic states, elucidate enzyme behavior in cellular environments, and maximize enzyme efficiency for synthetic purposes. With continued advances in research, enzymes will continue to be at the center of scientific and technological innovations, leading the way in medicine, industry, and green chemistry.

circular economybiodegradable plasticsgreen technologypolymer synthesisenvironmental sustainabilitypolybutylene succinate (PBS)+4 more
4,076 views
1,235 downloads

Contributors:

 Rashmi Chanda
,
 Harshalata Kanwar

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