Recent Articles

Open access

ISSN: 2949-866X

Design representation of pain visualization coding

This paper proposes an innovative method for visualizing pain by transforming complex pain metrics into intuitive visual codes, making pain expression more precise and easier to understand and empathize...

Ensuring data integrity: Best practices and strategies in pharmaceutical industry

The objective of this article is to examine the challenges and best strategies for incorporating data integrity in the pharmaceutical industry to ensure regulatory compliance. It highlights the importance...

Nanoliposome as a carrier for topical delivery of oxymetazoline hydrochloride: In-vitro assessment and in-vivo anti-inflammatory potential

The present investigation on nanoliposome infused with oxymetazoline hydrochloride was fabricated with phosphatidylcholine and cholesterol to effectively deliver the drug to the skin. Oxymetazoline...

Advancements in transdermal drug delivery systems: Enhancing medicine with pain-free and controlled drug release

Transdermal Drug Delivery Systems (TDDSs) provide controlled and prolonged drug release, enhance patient compliance, reduce gastrointestinal side effects, and improve drug stability. By delivering medication...

Alkaloids unveiled: A comprehensive analysis of novel therapeutic properties, mechanisms, and plant-based innovations

Alkaloids, naturally occurring compounds in a diverse range of plant species (Coffea spp., Erythroxylum coca, Cinchona spp. etc.), hold vast potential for biological, medicinal, and pharmacological...

Nanostructured lipid carriers as a drug delivery system: A comprehensive review with therapeutic applications

Recent advances in nanotechnology have enabled significant developments in health through innovative drug delivery systems. Nanostructured lipid carriers (NLCs) have emerged as a key technology in this...

Artificial Intelligence in Predicting Personalized Nanocarrier Formulations for Herbal Drugs: Bridging Phytomedicine and Precision Nanotechnology

Herbal drugs offer significant therapeutic benefits but face challenges such as poor bioavailability, low stability, and variable patient responses. Nanocarrier-based delivery systems can overcome these...

LC-MS/MS-guided profiling and network pharmacology analysis of bioactive compounds from Costus speciosus targeting type 2 diabetes: Insights from molecular docking and dynamics

Costus speciosus is a medicinal plant traditionally used in Southeast Asia for its metabolic and anti-inflammatory properties, yet the molecular mechanisms underlying its bioactivity remain underexplored....

Molecular recognition for anion detection: Progress and environmental significance

Supramolecular chemistry is the name given to the subfields of chemistry that deal with complex frameworks made up of a certain number of molecules. The host and visitor or guest involved in molecular...

Machine learning & deep learning tools in pharmaceutical sciences: A comprehensive review

Drug discovery and development is an important area of research for pharmaceutical industries and medicinal chemists. This classical approach demanded significant investments of time and resources to...

Harnessing the power of artificial intelligence in pharmaceuticals: Current trends and future prospects

Introduction of artificial intelligence (AI) technology in the field of pharmaceutical industry has been driven to discovery and development of drugs, also personalized medicine. In this article The...

Development and evaluation of empagliflozin-loaded solid lipid nanoparticles: Pharmacokinetics and pharmacodynamics for oral delivery

Type 2 diabetes mellitus is frequently treated with empagliflozin (EZN), a sodium-glucose cotransporter 2 inhibitor. Solid lipid nanoparticles (SLNs) shield the drug from gastrointestinal breakdown...

Artificial intelligence, computational tools and robotics for drug discovery, development, and delivery

The integration of Artificial Intelligence (AI) and robotics into the pharmaceutical sector is rapidly transforming drug discovery, development, and delivery (D-DDD) processes. Traditional drug development...

Smart healthcare: Artificial intelligences impact on drug development and patient care

The integration of artificial intelligence (AI) into healthcare has catalyzed significant advancements in drug development and patient care, revolutionizing traditional methodologies. This review explores...

Insulin delivery devices in diabetes management: Applications and advancements

With continuous advancements in diabetes management technology, insulin delivery devices have become increasingly central to the treatment of diabetes. This review discusses the applications and development...

Stratification of cephalosporins based on physicochemical and pharmacokinetic variables using multivariate statistical tools

Cephalosporins, a class of beta-lactam antibiotics, are commonly used in medical practice. However, their potential advantages, based on physicochemical and pharmacokinetic variables, are often overlooked....

International expert consensus on hospital intelligent pharmacy

As the rapid advancements in medical technology and increasing demands for personalized medication, Hospital Intelligent Pharmacy (HIP) integrates artificial intelligence, large-scale health data analytics,...

Assessing variation among the drug-lists of 16 cities and impact on cardiovascular disease mortality: Evidence from Anhui

This study compares the differences in city-level cardiovascular disease (CVD) drug-lists and investigates their relationship with CVD mortality rate across 16 cities in Anhui province, China....

Extracellular vesicles as carriers for protein and peptide therapeutics delivery: A review

Protein and peptide-based therapeutics hold immense potential for treating various diseases, including cancer, neurodegenerative disorders, and metabolic conditions. However, rapid degradation, poor...

Advancements in contemporary pharmacological innovation: Mechanistic insights and emerging trends in drug discovery and development

Developing a new drug and bringing it to the market is a complex and time-consuming process that involves multiple phases of drug discovery and development. However, recent advancements in various technologies,...

Enhancing drug discovery with AI: Predictive modeling of pharmacokinetics using Graph Neural Networks and ensemble learning

Accurately predicting pharmacokinetic (PK) parameters such as absorption, distribution, metabolism, and excretion (ADME) is essential for optimizing drug efficacy, safety, and development timelines....

ECLUNG consensus/guidelines development principles and methods (2024 edition)

Development and validation of a UPLC-HR-SIM method to quantify semaglutide for its pharmacokinetic study

To develop a highly sensitive and interference-resistant ultra performance liquid chromatography (UPLC) coupled with high-resolution selected ion monitoring (HR-SIM) mass spectrometry method for the...

Evaluation of the hypoglycemic and hypotensive efficacy of sodium-glucose cotransporter-2 inhibitors in patients with type 2 diabetes: A model-based dose–response network meta-analysis

To study the dose effect relationship of sodium-glucose cotransporter-2 inhibitor (SGLT-2i) in reducing blood glucose and blood pressure in type 2 diabetes mellitus (T2DM)....

Phytochemical profiling, FT-IR spectroscopy, and antioxidant evaluation of select Lamiaceae species

The present study aimed to conduct a preliminary phytochemical analysis of aqueous, ethanol, and hexane leaf extracts from Anisomeles malabarica (L.) R.Br. ex Sims, Leucas aspera (Willd.) Link., Ocimum...

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