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Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. BackgroundRheumatoid arthritis (RA) affects nearly 4% of the world’s population, along with an increasing rate of new cases.PurposeThe current work was focused on investigating the anti-arthritic efficacy of theCurcuma xanthorrhizarhizome extract (CXRE) …Read Original Source

Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. BackgroundThe Internet of Things (IoT) and wireless sensor networks (WSNs) are now being explored and used in various sectors, thanks to recent technological advancements.PurposeThe healthcare sector is one of the areas we will examine in this research. …Read Original Source

Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. Epidermal growth factor receptor (EGFR) plays an active role during the progression of oral squamous cell carcinoma (OSCC). OSCC is the most common head and neck cancer. Cetuximab, which is an inhibitor of EGFR, was approved by the Food and Drug …Read Original Source

Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. BackgroundPharmacogenomics aims to optimise drug therapy based on genetic makeup, but traditional clinical trial design faces challenges with complexity, cost and data integration.PurposeThis study explores integrating generative artificial intelligence (AI), specifically large language models (LLMs) like Llama3 8B, Mistral 7B v0.3 and Phi-3 Mini 3.8B, into pharmacogenomics clinical trial design through Retrieval-Augmented Generation frameworks and local knowledge bases to address the challenges.Materials and MethodsWe conducted a comparative analysis of LLMs, evaluating the accuracy, relevancy, response time and operational efficiency with a case study that assessed LLMs’ capacity to address key trial design…

Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. Background: Lumbar canal stenosis (LCS) is a degenerative spinal condition causing narrowing of the spinal canal, leading to nerve compression. Symptoms include pain, stiffness, tingling, numbness, and difficulty walking, which worsen with standing and improvement with sitting. Conventional treatments offer symptomatic relief, while surgery carries risks and a high recurrence rate. Ayurveda provides a holistic, non-surgical approach through Shodhana (purification) and Shamana Chikitsa (palliative care). Purpose: This study evaluates the effectiveness of Ayurvedic therapies, including Panchakarma and oral medications, in managing lumbar canal stenosis. Methods: A 68-year-old male presented with lower back…

Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. BackgroundVaricocelectomy is one of the main complications that, if left untreated, results in male infertility. Various approaches have been adopted to manage it, but there is a variation in the consensus.PurposeThis systematic review aims to summarize the evidence on the various clinical trials and post-varicocelectomy recovery for patients consuming different supplements or regimens.Materials and MethodsAn organized and systematic literature search was conducted in five electronic databases from their inception till 2021. Upon applying the PICOT format and student inclusion criteria, only n = 13 articles fulfilled the eligibility criteria and were selected…

Adamu T. Bekele1, Sheila Almaraz Postigo2, Kaleab Asres3, Ephrem Engidawork1, and Atanasio Pandiella2 1Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia 2Centro de Investigación del Cáncer, CIBERONC, IBSAL and CSIC, University of Salamanca, Spain 3Department of Pharmaceutical Chemistry and Pharmacognosy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia Corresponding author(s): Adamu T. Bekele, Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Zambia Street, P.O. Box 9086, Addis Ababa, Ethiopia. Email: adamubkl@gmail.com DOI: 10.1177/0976500X241312720 Abstract Background Plants are attractive sources of anti-cancer agents. However, there is limited data…

Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. BackgroundMachine Learning-powered Internet of Medical Things (MLIoMT) is a burgeoning framework poised to transform healthcare, particularly in the timely identification of heart disease.PurposeThis article proposes an innovative MLIoMT structure aimed at leveraging machine learning (ML) algorithms for heart disease detection.MethodsThrough the integration of wearable sensors, mobile applications, cloud computing, and advanced ML techniques, MLIoMT enables continuous monitoring of vital signs and cardiac health indicators in real time. By analyzing this data stream, abnormalities indicative of heart disease can be detected early, facilitating timely intervention and personalized healthcare recommendations. The MLIoMT framework employs…

Pooja Basnal1,2, Preeti Borkar1,2, Sonia Manda2,3, and Pratyendra Pal4 1Department of Samhita and Siddhant, Mahatma Gandhi Ayurved College Hospital and Research Centre, Wardha, Maharashtra, India 2Datta Meghe Institute of Higher Education Research, Wardha, Maharashtra, India 3Department of Panchkarma, Mahatma Gandhi Ayurved College Hospital and Research Centre, Wardha, Maharashtra, India 4Department of Samhita and Siddhant, Om Ayurvedic Medical College and Hospital, Betul, Madhya Pradesh, India Corresponding author(s): Pooja Basnal, Department of Samhita and Siddhant, Mahatma Gandhi Ayurved College Hospital and Research Centre, Salod, Hirapur, Wardha, Maharashtra 442001, India. E-mail: basnalpooja10@gmail.com DOI: 10.1177/0976500X241309446 Abstract Background The most common condition that restricts movement is low back pain, which is particularly common in…

Katari Pavan Kumar and Areti Anka Rao Department of Pharmacy, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India Corresponding author(s): Areti Anka Rao, Department of Pharmacy, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh 522302, India. E-mail: kataripavankumar@gmail.com DOI: 10.1177/0976500X241289642 Abstract Background Ritlecitinib (RIT) is a novel kinase inhibitor with promising therapeutic applications in the treatment of autoimmune disease alopecia areata. Accurate quantification of RIT in biological matrices is essential for pharmacokinetic studies and drug development. Objectives This study aims to develop and validate a sensitive and specific liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the quantitation of RIT in rat plasma and to apply this method in a…