Intelligent Pharmacy最新文献

{"title":"Recycled based nanomaterials (RNMs):Synthesis strategies, functionalization and advancement","authors":"Tapasvi Gupta ,&nbsp;Suman Sharma ,&nbsp;Reetika Rawat ,&nbsp;Shipra Sharma ,&nbsp;Divya Sharma ,&nbsp;Divyanshi Sharma ,&nbsp;Anshika Saxena","doi":"10.1016/j.ipha.2024.06.002","DOIUrl":"10.1016/j.ipha.2024.06.002","url":null,"abstract":"<div><h3>Background</h3><div>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 medicine and healthcare system has been impacted by the advancements in the realm of biomedicine. This has made it possible to significantly improve the results of biological approaches for the early diagnosis and treatment of various illnesses.</div></div><div><h3>Purpose</h3><div>Various recycled nanomaterials (RNMs) have been developed specifically for biomedical applications including vaccines, medication delivery and imaging modalities. RNMs are prepared with various wastes and offer a cutting-edge strategy for avoiding harmful environmental effects as well as implementing a circular economy, which is essential for achieving sustainable growth. Additionally, these can also be employed as a novel, safe substitute with exceptional potential for numerous biomedical uses.</div></div><div><h3>Conclusion</h3><div>This review highlights the properties of biomedical recycled nanomaterials and their potential applications in the early detection and prevention of various diseases. The therapeutic actions of these materials include antimicrobial, anticancer, and antioxidant properties, and their use as nanodrugs and nano-vaccines is also discussed. The design of RNMs is constantly improving, expanding their therapeutic applications for precision medicine.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 6","pages":"Pages 821-829"},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141411584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence and internet influence on drug utilization: Exploring self-medication trends in South Indian pharmacy students","authors":"B.S. Nikitha,&nbsp;K. Roopa,&nbsp;Shababiang L. Kynshi,&nbsp;Riya Singh Chauhan,&nbsp;B.S. Girish,&nbsp;R. Srinivasan","doi":"10.1016/j.ipha.2024.06.001","DOIUrl":"10.1016/j.ipha.2024.06.001","url":null,"abstract":"<div><h3>Background</h3><div>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 significant growth. Following the COVID-19 pandemic, there has been a surge in AI adoption, driven by concerns about visiting hospitals. Despite awareness of its potential drawbacks, relying on AI and online resources for medical and therapeutic purposes has become widespread.</div></div><div><h3>Objectives</h3><div>This study determines the use of AI and Internet in self-medication as well as perceives the knowledge, attitudes, and self-medication practices among south Indian Pharmacy students.</div></div><div><h3>Methods</h3><div>This is a cross-sectional study that included pharmacy students to evaluate the trends and practices of self-medication. A self-designed questionnaire was adopted that contained four sections including Consent, demographic details, AI in medications, Knowledge-Attitude-Practice sections. The data was collected both manually and via e-links.</div></div><div><h3>Results</h3><div>The study included a total of 527 participants, among which 278 (52.8%) were females. 472 (89.56%) used internet and AI for diagnosing their condition, whereas 396 (75.14%) used to self-medicate. 315 (59.8%) had good knowledge and 521 (98.9%) exhibited positive attitude towards self-medication. The practice of self-medication was high – 217 (41.2%) practiced self-medication within one month, 149 (28.3%) within two or three months, 101 (19.2%) within 6 months and 60 (11.4%) practiced a year ago.</div></div><div><h3>Conclusion</h3><div>The study participants used more internet and AI for self-diagnosing as well as self-medicating than consulting the medical professionals. Majority had good knowledge and positive attitude with high prevalence of self-medication practices. Self-medication awareness and public health education has to be carried out in order to avoid unexpected reactions by self-medications.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 6","pages":"Pages 814-820"},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational studies demonstrating dithymoquinone of Nigella sativa as a potential anti-dengue agent: Short review","authors":"Miah Roney ,&nbsp;Mohd Fadhlizil Fasihi Mohd Aluwi","doi":"10.1016/j.ipha.2024.02.006","DOIUrl":"10.1016/j.ipha.2024.02.006","url":null,"abstract":"<div><p>Dengue is acute tropical infectious illness, which is spread by mosquitoes, has presented a significant threat to public health worldwide. Unfortunately, there are no drugs that have been clinically proven to be effective at treating or preventing dengue. The development of some drugs is significantly hampered by our incomplete understanding of dengue pathogenesis. This short review provides a brief description of potential action against DENV of dithymoquinone to develop an anti-DENV inhibitor. In-vitro, in-vivo and clinical trials are required to establish the effectiveness and safety of dithymoquinone as an anti-dengue therapy, even though computational studies have demonstrated antiviral activity against DENV.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 3","pages":"Pages 335-338"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949866X24000297/pdfft?md5=d5d6414aa3c39298d4774c997fe4538d&pid=1-s2.0-S2949866X24000297-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140464943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating technology and trust: Trailblazing role of AI in reframing pharmaceutical digital outreach","authors":"Shashi Verma ,&nbsp;Ritesh Kumar Tiwari ,&nbsp;Lalit Singh","doi":"10.1016/j.ipha.2024.01.005","DOIUrl":"10.1016/j.ipha.2024.01.005","url":null,"abstract":"<div><h3>Background</h3><p>The growing significance of social media in commercial enterprises is bringing this theme to the attention of decision-makers. These days, businesses use Facebook, Twitter, and YouTube as part of their marketing strategies. This encourages communication between consumers and marketers. Similar communication tactics are used in the pharmaceutical sector. However, because this is a healthcare-related industry, there are a lot of rules that apply to it, especially to its marketing department.</p></div><div><h3>Purpose</h3><p>The purpose of this study is to assess the pharmaceutical industry's online presence on social media sites like Facebook, Twitter, and YouTube, as well as to describe the various digital engagement tactics that are employed.</p></div><div><h3>Conclusion</h3><p>The study's conclusions indicate that not all pharmaceutical businesses use social media, and that certain platforms are more popular than others. It's interesting to note that different social media platforms underwent different digital engagement techniques, and that the level of involvement was unrelated to the size of the companies. This study offers insights into the social media organization of pharmaceutical businesses and ostensibly supplies a framework and technique for further research in this area. Furthermore, a few of the constraints found offer guidance for future research directions.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 3","pages":"Pages 435-440"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949866X24000054/pdfft?md5=79ea02eb5383d182dbe4722962b193cf&pid=1-s2.0-S2949866X24000054-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139540716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combat against antibiotic resistance is a challenge in Bangladesh","authors":"Miah Roney,&nbsp;AKM Moyeenul Huq,&nbsp;Mohd Fadhlizil Fasihi Mohd Aluwi","doi":"10.1016/j.ipha.2024.02.002","DOIUrl":"10.1016/j.ipha.2024.02.002","url":null,"abstract":"<div><p>To the Editor, Antibiotics are a class of drug used to treat or prevent infections caused by bacteria; they function by either eradicating the organism or stopping its growth. Penicillin, cephalosporins, macrolides, fluoroquinolones, and urinary anti-infectives are examples of common antibiotics. To effectively treat the illness, it's critical to take antibiotics as directed by a physician and to finish the entire course of treatment. Antibiotic resistance is a serious issue in Bangladesh as a result of subpar healthcare practices, antibiotic abuse, and overuse. Antibiotic resistance is the result of bacteria changing and becoming resistant to an antibiotic's effects. Moreover, one of Bangladesh's biggest challenges is the fight against antibiotic resistance. Therefore, the purpose of this letter is to raise awareness of the antibiotic resistance in Bangladesh.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 3","pages":"Pages 305-307"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949866X2400025X/pdfft?md5=436f20a5a87e2d23dff34de95b97d8c1&pid=1-s2.0-S2949866X2400025X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139892285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI in Indian healthcare: From roadmap to reality","authors":"Sushanta Kumar Das,&nbsp;Ramesh Kumari Dasgupta,&nbsp;Saumendu Deb Roy,&nbsp;Dibyendu Shil","doi":"10.1016/j.ipha.2024.02.005","DOIUrl":"10.1016/j.ipha.2024.02.005","url":null,"abstract":"<div><p>India's vast and diverse population strains its healthcare system. Amidst these complexities, Artificial Intelligence (AI) emerges as a beacon of hope. This transformative technology promises to revolutionize healthcare, starting with early disease detection and accurate diagnoses. AI, driven by vast medical data, paints a deeper picture of individual health. By analyzing health patterns, it can detect hidden cancers and tuberculosis early, saving lives through proactive treatment. AI's power extends beyond individual diagnoses. It can scan populations, identifying risk factors and predicting outbreaks before they erupt. This foresight allows for targeted resource allocation and preventive measures, mitigating outbreak impact. AI can even personalize healthcare, shaping treatment plans based on a patient's unique lifestyle and medical history. This maximizes treatment efficacy, minimizes adverse reactions, and improves patient’s well-being. Imagine AI as a trusted medical advisor, suggesting the most effective treatment options for each individual. However, AI's promise comes with challenges. Data privacy, reliable infrastructure, and biased algorithms need effective solutions. India, with its strong tech ecosystem and commitment to innovation, is well-positioned to tackle these challenges. By investing in AI research, strengthening data infrastructure, and establishing ethical frameworks, India can unlock AI's immense potential to revolutionize its healthcare landscape. This will be a dividend for millions, ensuring India's healthcare system transforms with the brushstrokes of AI, leading to a healthier and more affordable future for all.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 3","pages":"Pages 329-334"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949866X24000285/pdfft?md5=96b3242823873ed03b6d82afe967f43f&pid=1-s2.0-S2949866X24000285-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140463058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A study on fused deposition modeling (FDM) and laser-based additive manufacturing (LBAM) in the medical field","authors":"Minhaz Ahmad,&nbsp;Mohd Javaid,&nbsp;Abid Haleem","doi":"10.1016/j.ipha.2024.02.010","DOIUrl":"10.1016/j.ipha.2024.02.010","url":null,"abstract":"<div><p>Fused deposition modelling (FDM) and laser-based additive manufacturing (LBAM) are the essential technologies of 3D Printing under the technological platform of additive manufacturing (AM). This process involves layering tiny layers of a chosen material until the desired three-dimensional shape is achieved. FDM and LBAM have been commercialised and are also being deployed in a variety of medical fields. These technologies are worthwhile in reducing expenditures, increasing precision, and lowering operating and post-operative hazards, and the most crucial part is customisation. FDM is witnessing significant growth as an AM technology primarily because of its exceptional ability to construct functional parts with complex geometries. This study aims to investigate the effect of different process parameters such as build orientation, layer thickness, raster angle, air gap, printing speed, infill density, and extrusion temperature on the mechanical properties of FDM printed parts. This paper explores FDM and LBAM, the technological developments that have various applications in the medical field. Using a laser beam to fuse or melt successive layers of wire or powder material together to form three-dimensional objects is known as LBAM. It is one adaptable manufacturing process that is widely used to create metallic components with improved characteristics. By implementing FDM or LBAM technologies, surgeons can provide patients with precise and better information. The patient's adaption period for customised prostheses/implants is shorter, less painful, and less stressful. Where regular implants are often insufficient for some patients with complex circumstances, the ability to quickly manufacture personalised implants by using these technologies is quite helpful. This paper provides readers with an insight into the capabilities of FDM and LBAM in the medical field.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 3","pages":"Pages 381-391"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949866X24000339/pdfft?md5=97fc2242f00198ee8c2758496049fe39&pid=1-s2.0-S2949866X24000339-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140464489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization and characterization of xanthan gum based multiparticulate formulation for colon targeting","authors":"M Koteswara Rao Sandu ,&nbsp;Subhabrota Majumdar ,&nbsp;Shayeri Chatterjee ,&nbsp;Rana Mazumder","doi":"10.1016/j.ipha.2024.02.007","DOIUrl":"10.1016/j.ipha.2024.02.007","url":null,"abstract":"<div><p>To optimize and characterize xanthan gum multi-particulate formulation for colon targeting, which increases the residence time at the absorbing surface of the colon. Xanthan gum was dispersed in cold water containing drug and was permitted to expand for 2 ​h. Sodium alginate was blended well in 10 ​ml of water. Xanthan gum solution containing the drug was added to sodium alginate solution and 0.3 ​ml of glutaraldehyde was added to the dispersion, with constant stirring. Then, polymer-drug solution was added dropwise into 5% w/v calcium chloride solution with continuous stirring, producing microspheres filtered by Whatman filter paper and dried at 30 ​°C–40 ​°C. Microspheres were performed by chemical cross-linking with glutaraldehyde, which increased the maximum drug entrapment efficiency up to 73.63 ​± ​0.65% with an increasing concentration of xanthan gum polymer 0.7% w/v for the optimized F6 batch. Better results were found by increasing the polymer concentration along with the glutaraldehyde concentration. The kinetics of drug release for the F6 batch was considered as an optimized batch because the regression value was found to be 0.997 in the peppas model. The accelerated stability study on the optimized F6 batch performed to learn whether the drug has any change during its period of usability. The polysaccharide remains intact in the stomach and intestine and the drug was released in the colon with low toxicity and biodegradability. The present studies showed that optimizing and characterizing xanthan gum multi-particulate formulation for colon targeting gives metronidazole the most effective and controlled delivery.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 3","pages":"Pages 339-345"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949866X24000303/pdfft?md5=f16f178f386c67539620debfc741c5aa&pid=1-s2.0-S2949866X24000303-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140469539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent advances in anticancer approach of traditional medicinal plants: A novel strategy for cancer chemotherapy","authors":"Priyanka Bajpai ,&nbsp;Shazia Usmani ,&nbsp;Rakesh Kumar ,&nbsp;Om Prakash","doi":"10.1016/j.ipha.2024.02.001","DOIUrl":"10.1016/j.ipha.2024.02.001","url":null,"abstract":"<div><h3>Background</h3><p>Cancer is the second leading cause of death worldwide. Although great advancements have been made in the treatment and control of cancer progression, significant deficiencies and room for improvement remain. Several undesired side effects sometimes occur during chemotherapy. Natural therapies, such as the use of plant-derived products in cancer treatment, may reduce adverse side effects.</p></div><div><h3>Methods</h3><p>Currently, a few plant products are being used to treat cancer. However, a myriad of plant products exist that have shown very promising anti-cancer properties in vitro but have yet to be evaluated in humans. Further study is required to determine the efficacy of these plant products in treating cancers in humans.</p></div><div><h3>Results</h3><p>This review will focus on the various traditional medicinal plants and their chemical compounds that have, in recent years, shown promise as anticancer agents and will outline their potential mechanism of action.</p></div><div><h3>Conclusions</h3><p>The current manuscript discusses natural products currently in clinical use, and under clinical trials, for cancer chemotherapy and chemoprevention. Future research focusing on natural anticancer agents can open a new horizon in cancer treatment, which will play a great role in enhancing the survival rate of cancer patients.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 3","pages":"Pages 291-304"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949866X24000248/pdfft?md5=3a415df7a4e97b2a8ae73ab2beb505a7&pid=1-s2.0-S2949866X24000248-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139813290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Realizing the potential of AI in pharmacy practice: Barriers and pathways to adoption","authors":"Md Ismail Ahamed Fahim ,&nbsp;Tamanna Shahrin Tonny ,&nbsp;Abdullah Al Noman","doi":"10.1016/j.ipha.2024.02.003","DOIUrl":"10.1016/j.ipha.2024.02.003","url":null,"abstract":"<div><p>Artificial intelligence (AI) has immense potential to revolutionize pharmacy operations by simplifying procedures, improving efficiency, and expediting pharmaceutical research. Nevertheless, obstacles such as steep expenses, absence of faith in AI, worries about unemployment, threats to privacy, and the incapacity to substitute human decision-making have impeded acceptance. This text discusses the future of AI in the field of pharmacy, obstacles that are preventing its usage, and methods to make its integration easier. The expansion of large data in healthcare offers chances for AI to obtain understanding, but examining and implementing information still presents difficulties. Significant obstacles such as costly implementation, safety concerns, restrictions on data exchange by regulations, and absence of interpersonal interaction need to be resolved. Methods to facilitate acceptance involve upgrading medical instruction to center around AI, involving interested parties, allocating resources for research and development, creating safeguarded machine learning methods, and carefully incorporating AI to enhance, rather than replace, pharmacy personnel. Although additional effort is required to establish confidence in AI and address genuine worries, specific actions can tap into AI's capacity to enhance effectiveness, lower expenses, expedite drug exploration, and improve healthcare for patients. Responsible and moral adoption requires tackling obstacles through cooperation among interested parties and gradual incorporation centered on enhancing human workforce, rather than substituting them.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 3","pages":"Pages 308-311"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949866X24000261/pdfft?md5=0622010e4672dd638ce8e411e0b8a060&pid=1-s2.0-S2949866X24000261-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139820848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}