Recent Articles

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ISSN: 2949-866X

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...

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...

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...

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...

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)...

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...

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...

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...

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,...

Construction and Application of an Intelligent Pharmacy Based on Robotic-Arm Automatic Dispensing Machines and a Pre-Dispensing Mode

This study aimed to enhance pharmacy operational efficiency, reduce errors, and improve patient experience by constructing and evaluating an Intelligent Pharmacy system integrating robotic-arm automatic...

The risk of hyperammonemic encephalopathy on epilepsy and psychiatric Patients: insight from FAERS data and published case reports

Valproate-associated hyperammonemic encephalopathy (VHE) is a serious adverse event. However, its risk profiles and clinical features remain poorly characterized across different patient populations....

Exploration of the mechanism of “Psoralea corylifolia Linn.-Epimedium brevicornu Maxim.” herb pair in the treatment of liver cancer based on network pharmacology

Liver cancer treatment remains challenging, and the anti-liver cancer mechanism of the “Psoralea corylifolia Linn.-Epimedium brevicornu Maxim.” herb pair is unclear. This study aims to elucidate its...

Artificial intelligence assisted design of nanomedicines for colorectal cancer diagnosis and therapy: Advances, challenges, and future directions

Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide, with an increasing incidence in both high- and low-income countries. Despite advances in...

“Generative artificial intelligence in pharmaceutical drug development: A systematic review of time and cost efficiency across discovery, preclinical, and clinical phases”

The pharmaceutical drug development process is notoriously complex, lengthy, and costly, often requiring more than a decade and billions of dollars to bring a single compound to market. Generative artificial...

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,...

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...

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...

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