To the Editor, Drug utilization is an important field of drug policy and an integral part of public health internationally. This area of research attracts increasing interest but the pioneering work was done 50 years ago when the first drug consumption report from six European countries for the period of 1966-1967 showed great differences in drug utilization between population groups (WHO, 1968). These results gave important stimulus for creation of Anatomical Therapeutic Chemical (ATC) classification and technical unit of measurement called the Defined Daily Dose (DDD) which is specified as "the assumed average maintenance dose per day for a drug used for its main indication in adults" that dealt with the objections against traditional units of measurement in drug utilization studies (WHO, 2016). The ATC/DDD methodology has in the meantime proved its suitability in drug utilization monitoring and research. As mentioned previously, consumption of pharmaceuticals is often used as a basis for comparison between countries. Based on our professional expertise, we decided to analyze the consumption of cardiovascular medicines by DDD in the Czech Republic and Slovak Republic within all ATC groups reported to OECD (OECD, 2016a). According to OECD indicator results, the Slovak Republic showed in 2014 a higher pharmaceutical consumption by DDD in ATC group C (cardiovascular system) compared to the Czech Republic (OECD, 2016a).
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J Med Chem
January 2025
Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Retrosynthesis is a strategy to analyze the synthetic routes for target molecules in medicinal chemistry. However, traditional retrosynthesis predictions performed by chemists and rule-based expert systems struggle to adapt to the vast chemical space of real-world scenarios. Artificial intelligence (AI) has revolutionized retrosynthesis prediction in recent decades, significantly increasing the accuracy and diversity of predictions for target compounds.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Clinical Product Development, Waymark, San Francisco, California.
Importance: Rising prescription medication costs under Medicaid have led to increased procedural prescription denials by health plans. The effect of unresolved denials on chronic condition exacerbation and subsequent acute care utilization remains unclear.
Objective: To examine whether procedural prescription denials are associated with increased net spending through downstream acute care utilization among Medicaid patients not obtaining prescribed medication following a denial.
Front Med (Lausanne)
January 2025
Department of Cardiology, Heart Center, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Introduction: In recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. Concurrently, the integration of artificial intelligence with the medical field has garnered increasing attention from medical experts. This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence.
View Article and Find Full Text PDFFront Oncol
January 2025
Hepatobiliary and Echinococcosis Surgery Department, Digestive and Vascular Surgery Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Background: Nanotechnology has increasingly been applied in the diagnosis and treatment of hepatocellular carcinoma (HCC) over the past two decades. This study aims to explore the utilization of nanotechnology in HCC through a bibliometric analysis, identifying key themes, trends, and contributions in this field.
Methods: The study utilized VOSviewer and CiteSpace software to perform a bibliometric analysis, evaluating scholarly contributions related to nanotechnology in HCC.
Expert Opin Drug Deliv
January 2025
School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning, China.
Introduction: Transdermal patches offer a unique advantage by providing extended therapeutic benefits while maintaining stable plasma drug concentration. The efficacy and safety of patches depend significantly on their ability to adhere to the skin, a feature influenced by various external and internal factors.
Areas Covered: The review primarily focuses on the fundamental aspects of adhesion in transdermal patches, including basic information about the skin, the underlying principles of adhesion, drug delivery, and adhesion characteristics of pressure sensitive adhesives (PSAs), adhesion issues, impact factors, strategies to improve patch adhesion, and relevant molecular mechanisms.
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