Intelligent Pharmacy最新文献

{"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":"2024-12-01","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":"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":"2024-12-01","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: A promising tool in diagnosis of respiratory diseases","authors":"Pragya Yadav ,&nbsp;Vaibhav Rastogi ,&nbsp;Abhishek Yadav ,&nbsp;Poonam Parashar","doi":"10.1016/j.ipha.2024.05.002","DOIUrl":"10.1016/j.ipha.2024.05.002","url":null,"abstract":"<div><div>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. Among a variety of application, it has made a marked embrace in medical domain where it is applied for diagnosis and disease progression by clinicians. Further, in particular, AI based Machine learning (ML) and Deep Learning (DL) algorithms have come up as an effective emerging trend in diagnosis of respiratory diseases. These algorithms are trained to classify the respiratory diseases such as pneumonia, fibrosis, cancer, tuberculosis emphysema, asthma based on radiographs, CT scans <em>etc.</em> images. The AI enabled diagnosis can facilitate precise diagnosis and differentiation among overlapping characteristics bearing lung diseases. This review focuses on the AI-based algorithms assisted, improved diagnosis of three respiratory diseases specifically COPD (Chronic obstructive pulmonary disease), asthma and lung fibrosis. Further, AI is expected to play a crucial role in facilitating diagnosis aiding clinicians in predicting and management of lung diseases taking it towards a promising tool for everyday clinical practice soon. It is written with a hope that this brief review of emphasizing utilization of AI in medical field will be helpful to clinicians.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 6","pages":"Pages 784-791"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703048","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":"Revolutionizing of bioactive natural products in prostate cancer research and care: Promising discoveries and future directions","authors":"Konatham Teja Kumar Reddy ,&nbsp;Karthickeyan Krishnan ,&nbsp;Palani Shanmugasundaram ,&nbsp;C. Ronald Darwin ,&nbsp;Balaji Pandian ,&nbsp;Saravanan Govindaraj ,&nbsp;Priyanga Jaganath ,&nbsp;Sridevi Ganesan","doi":"10.1016/j.ipha.2024.07.001","DOIUrl":"10.1016/j.ipha.2024.07.001","url":null,"abstract":"<div><div>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 death by cancer in men. Anti-PCa qualities like growth of tumor inhibition, induction of cell death, and angiogenesis and metastasis inhibition have all been studied in depth. Phytochemicals have been demonstrated to target androgen receptor (AR) signaling as well as PCa stem cells in a selection of investigations. Marine compounds have shown potential in the treatment of PCa. It is discussed in this article, some of the most promising bioactive natural and marine compounds for PCa prevention and treatment, as well as their specific methods of action. An emphasis on specific medicine is one of the future directions in the revolutionization of bioactive natural ingredients for PCa research and therapy. Advances in nanotechnology can enhance the bioavailability and specificity of bioactive substances for cancer cells, maximizing their therapeutic potential and enhancing patient treatment. Bioactive natural compounds represent an innovative field in the study and treatment of PCa. Promising results point to their potential to block cancer pathways and improve on already effective therapeutic approaches. As we advance, modified medicine, nanotechnology, and genomics methods will be fundamental in maximizing the efficacy of these natural substances and ultimately changing the treatment of PCa. But in order to close the gap between exciting findings and therapeutic application, more study, clinical trials, and effective activities are essential.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 6","pages":"Pages 830-845"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141706308","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 review on electromedicine its various properties and emerging application in various fields","authors":"Vaibhavi Vijay Kshatriya ,&nbsp;Manoj Ramesh Kumbhare ,&nbsp;Shraddha Vikas Jadhav ,&nbsp;Prajakta Jaywant Thorat ,&nbsp;Rushikesh Gajanan Bhambarge","doi":"10.1016/j.ipha.2024.05.001","DOIUrl":"10.1016/j.ipha.2024.05.001","url":null,"abstract":"<div><div>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 to the historical data available. In the early years after the death of Christ, a growing interest in the use of electricity and magnetism was observed. Electrotherapy is the use of electrical energy as a medical treatment. In medicine, the term electrotherapy can apply to a variety of treatments, including the use of electrical devices such as deep brain stimulators for neurological disease. The term has also been applied specifically to the use of electric current to speed wound healing. Electric diathermy uses high-frequency alternating electric or magnetic fields, sometimes with no electrode or device contact to the skin, to induce gentle deep tissue heating by induction or dipole rotation. Additionally, the term “electrotherapy” or “electromagnetic therapy” has also been applied to a range of alternative medical devices and treatments. The aim of this review is to highlight emerging role of electromedicines in health care industries as well as how these are effective as compared to medicines. Moreover, electromedicine offers amazing diagnostic potential.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 6","pages":"Pages 777-783"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141054625","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":"Evolution of pharmaceuticals using 3D and 4D printing","authors":"Afiya Baig,&nbsp;Rohan Barse,&nbsp;Asawari Paryekar,&nbsp;Vijay Jagtap","doi":"10.1016/j.ipha.2024.05.008","DOIUrl":"10.1016/j.ipha.2024.05.008","url":null,"abstract":"<div><div>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 size and shape is known as 3D printing. Whereas, 4D printing is the establishment of intricate three-dimensional formations that can change form in response to various external inputs. Applying 3D printing technology 3D printing, the healthcare industry has produced significant strides toward a patient-centred approach. The future of biomedical science and patient-centered care could be completely transformed by 3D printing with further advancements in research and development. 3D, 4D Technology used in printing is one of the most advanced industrial technologies available worldwide. The 3D and 4D printing pharmaceutical enterprises have completed the shift from centralised to distributed systems for the purpose of creating dosage forms. The goal of the study is to support the research goal of determining the degree to which patient-specific treatment is enhanced and healthcare outcomes are improved through the use of printing technologies in pharmaceuticals. Beyond this thorough analysis, the study highlights potential and problems from several angles and comparative aspects between 3D and 4D printing.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 6","pages":"Pages 804-813"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703047","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":"Computer vision to enhance healthcare domain: An overview of features, implementation, and opportunities","authors":"Mohd Javaid ,&nbsp;Abid Haleem ,&nbsp;Ravi Pratap Singh ,&nbsp;Mumtaz Ahmed","doi":"10.1016/j.ipha.2024.05.007","DOIUrl":"10.1016/j.ipha.2024.05.007","url":null,"abstract":"<div><div>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 administration of medications are about to change by using CV for medication management. This system scans pharmaceutical labels and keeps track of the process from delivery to administration using cameras, sensors, and computer algorithms. In order to assure accuracy in medicine delivery and dose, the system also makes it easier for doctors, nurses, and chemists to communicate. The computer vision-driven medication management system can significantly lower the number of medical mistakes that result from inaccurate or missing prescriptions, improper doses, or simply forgetting to take a particular drug. An exhaustive literature review has been done to identify work related to the research objectives. This paper is about CV and their need in healthcare. Various tasks associated with CV in the healthcare domain are discussed. Targeted healthcare goals through CV traits are briefed. Finally, the significant applications of CVs in healthcare were identified and discussed. Nowadays, CV has practical uses in healthcare. Its methods are widely used since they have shown excellent utility in several medical contexts, including medical imaging and surgical planning. The CV is used to study how to program computers to comprehend digital pictures. Numerous medical applications utilise this technology, such as automated abnormality identification, illness diagnosis, and surgical procedure guiding. CV is expanding quickly and has enormous promise to enhance healthcare. Some of the many CV applications in the healthcare sector include patient identification systems, medical picture analysis, surgical simulation and illness diagnosis.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 6","pages":"Pages 792-803"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141131854","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":"Nanoliposome: As a smart nanocarrier in transdermal drug delivery system","authors":"Subhabrota Majumdar ,&nbsp;Beduin Mahanti ,&nbsp;Ayan Kumar Kar ,&nbsp;Hiranmoy Parya ,&nbsp;Arya Ghosh ,&nbsp;Banhishikha Kar","doi":"10.1016/j.ipha.2024.04.004","DOIUrl":"10.1016/j.ipha.2024.04.004","url":null,"abstract":"<div><div>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, patient compliance, and guarded treatments in the biomedical sector is gaining distinctive recognition for employing the field of nanotechnology as capable medium to design new drug delivery systems. The liberty of this review is to initiate the concept of nanoliposomes and also elaborate on a few facets and mechanisms of nanoliposomes at the transdermal site. The enormous list of bioactive materials can be incorporated into nanoliposomes, ranging from the pharmaceuticals and cosmetics industry. The prototypical liposomes have inadequate possibility as a carrier for drug delivery via the skin because they do not penetrate the deeper layer of the skin. Only designed liposomes have the capacity to achieve enhanced delivery. It has unusual properties like biodegradability, biocompatibility, and nano size. The exclusive characteristics of nanoliposomes are their ability to solubilize and sectionalize both hydrophilic and hydrophobic bioactive agents. It intensifies the performance of bioactive agent by enhancing their solubility and bioavailability. High-quality phospholipids, the cornerstone of nanoliposomal lipid bilayer are the key components. This review article intends to provide an overview of liposomes and nanoliposomes their properties, preparation methods, and evaluation parameters. Also, it explains various applications of nanoliposomes in nanotherapy including diagnostics, specifically cancer, cosmetics, and nutraceuticals.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 6","pages":"Pages 768-776"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140779122","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":"Schematized study for tackling COVID-19 with Machine Learning (ML), Artificial Intelligence (AI), and Internet of Things (IoT)","authors":"Vrisha Sheth ,&nbsp;Anya Priyal ,&nbsp;Kavya Mehta ,&nbsp;Nirali Desai ,&nbsp;Manan Shah","doi":"10.1016/j.ipha.2024.04.003","DOIUrl":"10.1016/j.ipha.2024.04.003","url":null,"abstract":"<div><div>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 has become a global pandemic, and COVID-19 poses so far unprecedented challenges to healthcare systems around the globe, particularly to those with weakened immune systems. Effective methods for managing, diagnosing, and lessening the effects of COVID-19 are critical because, by 2024, the virus has already caused over 7 million deaths. In this study, we anatomize the impacts of the latest COVID-19 virus on patients with the help of computational intelligence, like Machine learning, artificial intelligence, and IoT-enabled technologies for managing, analyzing, diagnosing, and predicting COVID-19. With tools for early identification, risk assessment, and therapy optimization, machine learning and artificial intelligence have shown tremendous promise in the healthcare industry. These tools can examine big datasets to find patterns and trends that might not be noticeable to human observers. Additionally, IoT will enable healthcare firms to monitor patient scenarios properly and reduce the readmission of COVID-19 patients. Wearable sensors and remote monitoring systems are two examples of IoT-enabled gadgets that are vital for tracking the COVID-19 virus's spread and keeping an eye on its sufferers. These gadgets can gather data in real-time on environmental variables, symptoms, and vital signs, giving medical professionals important insights into the state of their patients' health and the course of their diseases. This study will play a vital role in competing for safety considerations of reducing SARS-CoV-2, COVID-19, and exposure with the assistance of smart technology and provide much-needed information regarding the impact of COVID-19 on patients that will benefit globally.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 6","pages":"Pages 756-767"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140757965","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":"Role of IOT in healthcare: Applications, security & privacy concerns","authors":"","doi":"10.1016/j.ipha.2024.01.003","DOIUrl":"10.1016/j.ipha.2024.01.003","url":null,"abstract":"<div><div>Employing the Internet of Things (IoT) in healthcare provides many advantages for patient monitoring and analysis of the patient's health with the help of generated data. The basic role of IoT in healthcare is to ease the patient's life by giving them a monitor over their medical condition. The use of IoT in medical devices requires a focus on the end-user. Medical devices such as glucose meters are designed to record the data of the patient and their vital signs. The generated information can be used to enhance decision-making for the physician. The collected information about the patient can be at risk due to certain security issues during the transferring of information can compromise the identity and social life of the patient. This review explores the IoT regarding its structural requirement and its role in various fields with special emphasis on healthcare. The security and privacy issues than can hinder the utilization of IoT at its potential and ways to overcome these issues are being addressed.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 5","pages":"Pages 707-714"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139631195","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}