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ISSN: 2949-866X

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...

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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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Design, optimization, and characterization of Zolmitriptan loaded liposomal gels for intranasal delivery for acute migraine therapy

Zolmitriptan is the primary drug for the treatment of Migraine. However, the bioavailability of the drug is low and requires repetitive administration leading to side effects. Zolmitriptan's bioavailability...

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A critical review on zinc oxide nanoparticles: Synthesis, properties and biomedical applications

ZnO-NPs is an inorganic metal oxide that meets as medicine, a preservative in packaging, as well as an antibacterial agent without risk. The qualities of ZnO-NPs are influenced by their size, shape,...

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Optimization of microwave-assisted green synthesis of zinc oxide nanoparticles using Ocimum americanum and Euphorbia hirta extracts: In vitro evaluation of antioxidant, anti-inflammatory, antibacterial, cytotoxicity, and wound healing properties

This investigation optimized the microwave-assisted green synthesis of zinc oxide nanoparticles utilizing Ocimum americanum and Euphorbia hirta extracts for enhanced wound healing applications. The...

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Exploring nanoformulation drug delivery of herbal actives for enhanced therapeutic efficacy: A comprehensive review

In this present review we have focused on nanoformulation drug delivery approach to deliver active drug constituents. As it can minimizes the limitations associated with conventional therapies such...

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Formulation development and evaluation of floating microspheres of drotaverine hydrochloride as gastroretentive dosage form

The aim of the current research work is to formulate and characterized the floating microspheres of drotaverine hydrochloride (DRH). DRH is an antispasmodic drug which has a short residence in the intestine...

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Enhancing monoclonal antibodies with natural products: Mechanisms and applications

Monoclonal antibodies (mAbs) have revolutionized therapeutic strategies across a broad spectrum of diseases, yet their efficacy remains constrained by challenges such as suboptimal tumor penetration...

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AI-driven insights into the microbiota: Figuring out the mysterious world of the gut

This review delves into the fascinating realm of microbial insights enabled by artificial intelligence (AI), unveiling the mysteries of the intricate gut environment. Research into the human microbiome...

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Development, optimization, and in-vivo bioavailability study of erlotinib hydrochloride loaded microsponge for colon targeting

The present investigation aimed to develop as well as optimize microsponge containing erlotinib hydrochloride (ETB) that was composed of ethyl cellulose (EC) and pectin. The water solubility and enzymatic...

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Trends in research on AI-aided drug discovery from 2009 to 2023: A 15-year bibliometric analysis

In recent years, the rapid advancement of artificial intelligence technology has brought opportunities for the acceleration and improvement of the drug discovery process by aiding in all stages of drug...

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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...

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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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