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…
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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…
Shruti Singh, Rajesh Kuma, Sunil Kumar Singh, and Vikas Maharshi Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Patna, Bihar, India Corresponding author(s): Rajesh Kumar, Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Patna, Bihar 801507, India. E-mail: drrajeshm@aiimspatna.org DOI: 10.1177/0976500X241312723 Abstract Background As traditional laboratory animal use faces ethical and logistical constraints, the chick ileum has been experimented with as an alternate tissue for bioassays, which is crucial for drug discovery and pharmacology education. However, the absence of uniform bioassay protocols for chick ileum presents a significant challenge, impacting the accuracy and reliability of results in pharmacological studies. Objectives The objective of this…
Helena Lebreton1, Nadia Ladjouzi2, Hendriniaina Raveloson2, Diana Lopez-Leret3, and Joël Schlatter3 1Long-term Care Unit, Assistance Publique des Hôpitaux de Paris, Hôpital Paul Doumer, Labruyère, France 2Acute Geriatric Medicine Unit, Assistance Publique des Hôpitaux de Paris, Hôpital Paul Doumer, Labruyère, France 3Department of Pharmacy, Assistance Publique des Hôpitaux de Paris, Hôpital Paul Doumer, Labruyère, France Corresponding author(s): Joël Schlatter, Department of Pharmacy, Assistance Publique des Hôpitaux de Paris, Hôpital Paul Doumer, Labruyère 60140, France. E-mail: joel.schlatter@aphp.fr DOI: 10.1177/0976500X251314602 Abstract Background Insomnia is a significant public health problem that can affect up to 50% of older adults. Pharmacological treatments are commonly used such as benzodiazepines (BZD) and related Z-drug zopiclone. Objectives The objective…
Nagaraju Bandaru1, Mohan Gandhi Bonthu1, Alluri Pavani Gayatri2, Shashikala Metri3, Perli Kranti Kumar1, Aneesha Addanki4, Srilaksmi Nallapaty5, Karri Swathi Priya6, Dodda Tulase Nadhreddy1, and P. N. S. Gowravi7 1Department of Pharmacology and Pharmaceutical Quality Assurance, School of Pharmaceutical Sciences (SOPS), Sandip University, Nashik, Maharashtra, India 2Department of Pharmacology, Sandip Institute of Pharmaceutical Sciences, Nashik, Maharashtra, India 3Department of Pharmacology, Gokaraju Rangaraju College of Pharmacy, Hyderabad, Telangana, India 4Department of Pharmaceutical Analysis, Chalapathi Institute of Pharmaceutical Sciences, Guntur, Andhra Pradesh, India 5Department of Pharmaceutical Chemistry, College of Pharmacy, Koneru Lakshmaiah Education Foundation, Vaddesweram, Andhra Pradesh, India 6Department of Pharmacognosy, Srinivasarao College of Pharmacy, P.M. Palem, Visakhapatnam, Andhra Pradesh, India 7Department of Pharmacy Practice, Andhra University College of Pharmaceutical Sciences, Andhra…
Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. BackgroundLow back pain is a pervasive and often debilitating musculoskeletal condition that affects millions of people worldwide. Low back pain affects 619 million globally (10%) and may rise to 843 million by 2050. It causes 8% years lived with disability and 4.6% disability-adjusted life years in India, with a 1.2%–2.3%. Ayurvedic interventions offer potential relief, specifically Panchaprasrutik Basti (bowel lavage/enema). This study investigates Basti’s therapeutic effects on low back pain.PurposeTo assess Panchaprasrutik Basti’s efficacy in reducing Katishula (low back pain) using the visual analog scale (VAS). Also, the efficacy of Panchaprasrutik Basti in…
Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. The aim of this study is to investigate the efficacy of interleukin-6 (IL-6) inhibitor antibodies as a therapeutic agent to combat severe COVID-19. Given the constant evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants, the study aims to assess the potential of these inhibitors in adapting to new challenges and improving treatment outcomes. A comprehensive review of relevant literature was conducted using electronic databases such as Web of Science, PubMed, EMBASE, Scopus, and Google Scholar. The study analyzed the role of IL-6 inhibitors in combating SARS-CoV-2, focusing on…
Mulani AO, Liyakat KKS, Warade NS, et al. ML-powered internet of medical things structure for heart disease prediction. Journal of Pharmacology and Pharmacotherapeutics 2025;0(0). DOI:10.1177/0976500X241306184 Ahead of Print article withdrawn by publisher. Due to an administrative error, this article was accidentally published twice Online First with different DOIs. There was no duplication of the article in a printed version. The correct and citable version of the article remains: References Mulani AO, Sardey MP, Kinage K, Salunkhe SS, Fegade T, Fegade PG. ML-powered internet of medical things (MLIoMT) structure for heart disease prediction. Journal of Pharmacology and Pharmacotherapeutics. 2024;0(0). DOI:10.1177/0976500X241281490
Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. The aim of this study is to investigate the efficacy of interleukin-6 (IL-6) inhibitor antibodies as a therapeutic agent to combat severe COVID-19. Given the constant evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants, the study aims to assess the potential of these inhibitors in adapting to new challenges and improving treatment outcomes. A comprehensive review of relevant literature was conducted using electronic databases such as Web of Science, PubMed, EMBASE, Scopus, and Google Scholar. The study analyzed the role of IL-6 inhibitors in combating SARS-CoV-2, focusing on…
Journal of Pharmacology and Pharmacotherapeutics, Ahead of Print. The aim of this study is to investigate the efficacy of interleukin-6 (IL-6) inhibitor antibodies as a therapeutic agent to combat severe COVID-19. Given the constant evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants, the study aims to assess the potential of these inhibitors in adapting to new challenges and improving treatment outcomes. A comprehensive review of relevant literature was conducted using electronic databases such as Web of Science, PubMed, EMBASE, Scopus, and Google Scholar. The study analyzed the role of IL-6 inhibitors in combating SARS-CoV-2, focusing on…