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ISSN: 2949-866X

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)....

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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...

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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...

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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...

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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...

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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...

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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...

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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...

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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...

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

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Recycled based nanomaterials (RNMs):Synthesis strategies, functionalization and advancement

A large amount of waste has been produced by urbanization, industrial growth and global overpopulation. This is observed as a major global issue in need of immediate attention. Furthermore, the whole...

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Artificial intelligence and internet influence on drug utilization: Exploring self-medication trends in South Indian pharmacy students

Self-medication refers to usage of drugs by population to cure self-diagnosed medical illnesses or symptoms without seeking medical advice. AI has become the prevailing technology in recent times, experiencing...

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Schematized study for tackling COVID-19 with Machine Learning (ML), Artificial Intelligence (AI), and Internet of Things (IoT)

The novel Coronavirus (COVID-19) is caused by the newly identified strain of the coronavirus family severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), whose target organ is the lungs. It...

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Nanoliposome: As a smart nanocarrier in transdermal drug delivery system

In the current advancement of drug delivery systems, nanoliposome vesicles act as a modernized technology for the encapsulation of bioactive agents. The prerequisite to expand biocompatible, structured,...

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Revolutionizing of bioactive natural products in prostate cancer research and care: Promising discoveries and future directions

Globally, prostate cancer (PCa) is one of the most common cancers to strike men. Diet and lifestyle appear to have a significant impact on PCa biology and carcinogenesis. PCa is the major reason of...

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A review on electromedicine its various properties and emerging application in various fields

Electromedicine can be defined as the study of different types of electrical therapies used for the treatment of various medical ailments. Electromedicine has been practiced for hundreds of years, according...

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Artificial Intelligence: A promising tool in diagnosis of respiratory diseases

Respiratory diseases (RD) are a major healthcare issue and is predicted to be leading cause of mortality by 2030. Artificial intelligence (AI) has been recently gained interest -in scientific fields....

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Computer vision to enhance healthcare domain: An overview of features, implementation, and opportunities

The emergence of Artificial Intelligence (AI) has already brought several advantages to the healthcare sector. Computer Vision (CV) is one of the growing modern AI technologies. The distribution and...

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Evolution of pharmaceuticals using 3D and 4D printing

This overview examines the latest developments and applications of 3D and 4D printing in the health care and pharmaceutical field. The technique of creating a 3D object from a 3D model in the required...

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Nanoliposome enabled topical gel-based drug delivery system of ivermectin: Fabrication, characterization, in vivo and in vitro investigation

Nanoliposomes loaded with ivermectin possess the ability to deliver the drug to an intended area, ensuring optimal stability and eventual release at that precise location. The nanoliposome's size range...

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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....

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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...

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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,...

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A systematic review on the effectiveness of Zingiber officinale in reducing dental caries

According to the Global Burden of Disease Study and the World Health Organization, dental caries is one of the most prevalent oral diseases globally. It is well known that dental caries are associated...

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Comprehensive evaluation of PD-1 inhibitors marketed in China based on a Quick Guideline for drug evaluation and selection in Chinese Medical Institutions (second edition)

To conduct a comprehensive evaluation of PD-1 inhibitors for the treatment of advanced non-small cell lung cancer on the market in China, using A Quick Guideline for Drug Evaluation and Selection in...

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