Recent Articles

Open access

ISSN: 2949-866X

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....

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,...

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...

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....

Understanding AI adoption in the German pharmaceutical sector: Insights from expert interviews

The increasing complexity and competitiveness of the pharmaceutical industry are driving the need for innovative technological solutions. This article explores the use of Artificial Intelligence (AI)...

Correlation Study on Serum TT3 and FT3 Levels with Disease Severity in Elderly Tuberculosis Patients — Exploration of the Value of Thyroxine Level-Guided Anti-TB Individualized Medication

Tuberculosis (TB) remains a major global public health issue, with elderly patients (≥65 years) at higher risk of severe progression—driven by immune decline, polypharmacy, and impaired drug metabolism,...

CARE-Cirrhosis: A Multi-Level Explainability Framework Integrating Predictive Modeling and Personalized Clinical Recommendation in Cirrhosis Care

This study introduces CARE-Cirrhosis (Cirrhosis Ascites Risk Prediction and Explainability with Recommendation Engine), a unified methodological framework that systematically integrates predictive modeling,...

Diabetes-associated metabolic-immune signature stratifies survival and immunotherapy response in pancreatic adenocarcinoma through multi-omics integration

Pancreatic adenocarcinoma (PAAD) poses a significant threat, especially to patients with diabetes mellitus (DM). While numerous studies have explored prognostic factors for pancreatic cancer, research...

Trophoblast-derived CD81 decreased eNOS expression in endothelial cell during preeclampsia development

Trophoblast shallow invasion and maternal vascular endothelial cell damage are recognized as key pathophysiological changes associated with preeclampsia (PE). Our previous study demonstrated that CD81...

Innovative practices and reflections on the development of hospital-led co-constructed state key laboratories

Focusing on the development of the State Key Laboratory for Complex, Severe, and Rare Diseases since its restructuring, this paper explores its practices in fully integrating the advantages of multi-party...

DDI-LLM: Predicting unseen Drug–Drug Interactions using Large Language Models and molecular graphs

This article introduces DDI-LLM, a hybrid pipeline that combines open-source Large Language Models (MedGemma) with molecular graph representations for the prediction of Drug–Drug Interactions (DDIs)...

Hydrogel Nanoparticles in Drug Delivery: A Review

Hydrogel nanoparticles (HNPs) have emerged as a promising class of drug delivery systems due to their unique physicochemical properties, including high water content, biocompatibility, and tunable drug...

Network pharmacology and molecular simulation-based analysis of Citrus aurantium metabolites targeting breast cancer pathways

Citrus aurantium is a plant known for its diverse bioactive constituents, yet its therapeutic potential in hormone-dependent breast cancer remains underexplored. This study applied a network pharmacology...

The impact of artificial intelligence on remote healthcare: Enhancing patient engagement, connectivity, and overcoming challenges

The incorporation of advanced telemedicine technologies is helping artificial intelligence transform remote healthcare in the enhancement of patient care, diagnostics, monitoring, and overall medical...

Capitalization of digital healthcare: The cornerstone of emerging medical practices

The digital healthcare sector in India is rapidly transforming, driven by strategic government initiatives and technological advancements. In 2020, the market was valued at approximately $1.5 billion...

Identifying potentiators of adverse reactions to antiretroviral drugs in a primary care model

Adverse drug reactions (ADRs) in Antiretroviral Treatment (ART) are influenced by multiple potentiators related to the patient, the disease, the drug, the environment and medical treatment, these ADRs...

Opportunities and challenges of machine learning in anticaner drug therapies

Antitumor drug therapies encounter substantial costs and intricate challenges, imposing a financial strain on patients and potentially leading to serious adverse effects. These issues have prompted...

A review on intervention of AI in pharmaceutical sector: Revolutionizing drug discovery and manufacturing

Artificial intelligence (AI) is designed to mimic human intelligence in machines. The growth of information technology and advancement in the computing power of computers provided a great platform for...

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...

Review of the latest progress of AI and machine learning methods in the free energy kinetics estimation and synthesis analysis for organic chemistry applications

The accurate prediction of free energy, kinetics, and reaction outcomes in organic chemistry has long presented significant computational challenges, which are often limited by the prohibitive cost...

Development and application of a digital intelligent platform for clinical trial management

This study leverages the existing hospital-based developed Clinical Trial Management System (CTMS) information management platform to create an integrated and targeted platform for the digital and intelligent...

A theoretical study of 8-hydroxy quinoline with fullerenes and carbon nanotubes as nano vectors for drug delivery

In recent years, the use of nanotubes as drug delivery nanocarriers has been investigated and studied. In this study, C60 fullerene and nine different nanotubes were used as carriers of the drug molecule...

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...

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