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Drug Discovery Today Nov 2021The discovery and development of new medicines is expensive, time-consuming, and often inefficient, with many failures along the way. Powered by artificial intelligence... (Review)
Review
The discovery and development of new medicines is expensive, time-consuming, and often inefficient, with many failures along the way. Powered by artificial intelligence (AI), language models (LMs) have changed the landscape of natural language processing (NLP), offering possibilities to transform treatment development more effectively. Here, we summarize advances in AI-powered LMs and their potential to aid drug discovery and development. We highlight opportunities for AI-powered LMs in target identification, clinical design, regulatory decision-making, and pharmacovigilance. We specifically emphasize the potential role of AI-powered LMs for developing new treatments for Coronavirus 2019 (COVID-19) strategies, including drug repurposing, which can be extrapolated to other infectious diseases that have the potential to cause pandemics. Finally, we set out the remaining challenges and propose possible solutions for improvement.
Topics: Artificial Intelligence; Drug Development; Drug Discovery; Humans; Natural Language Processing; Pharmacovigilance; SARS-CoV-2; COVID-19 Drug Treatment
PubMed: 34216835
DOI: 10.1016/j.drudis.2021.06.009 -
Drug Safety May 2022TransCelerate reports on the results of 2019, 2020, and 2021 member company (MC) surveys on the use of intelligent automation in pharmacovigilance processes. MCs...
TransCelerate reports on the results of 2019, 2020, and 2021 member company (MC) surveys on the use of intelligent automation in pharmacovigilance processes. MCs increased the number and extent of implementation of intelligent automation solutions throughout Individual Case Safety Report (ICSR) processing, especially with rule-based automations such as robotic process automation, lookups, and workflows, moving from planning to piloting to implementation over the 3 survey years. Companies remain highly interested in other technologies such as machine learning (ML) and artificial intelligence, which can deliver a human-like interpretation of data and decision making rather than just automating tasks. Intelligent automation solutions are usually used in combination with more than one technology being used simultaneously for the same ICSR process step. Challenges to implementing intelligent automation solutions include finding/having appropriate training data for ML models and the need for harmonized regulatory guidance.
Topics: Artificial Intelligence; Automation; Humans; Machine Learning; Pharmacovigilance; Technology
PubMed: 35579809
DOI: 10.1007/s40264-022-01164-5 -
The Journal of Infectious Diseases Dec 2016The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic health records from... (Review)
Review
The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic health records from traditional health systems and patient-generated data. As the two data sources have complementary strengths-high veracity in the data from traditional sources and high velocity and variety in patient-generated data-they can be combined to build more-robust public health systems. However, they also have unique challenges. Patient-generated data in particular are often completely unstructured and highly context dependent, posing essentially a machine-learning challenge. Some recent examples from infectious disease surveillance and adverse drug event monitoring demonstrate that the technical challenges can be solved. Despite these advances, the problem of verification remains, and unless traditional and digital epidemiologic approaches are combined, these data sources will be constrained by their intrinsic limits.
Topics: Data Collection; Epidemiological Monitoring; Humans; Information Storage and Retrieval; Pharmacovigilance
PubMed: 28830106
DOI: 10.1093/infdis/jiw281 -
Orphanet Journal of Rare Diseases Sep 2023The aims of this paper is to search and explore publications in the field of pharmacovigilance for rare diseases and to visualize general information, research hotspots,... (Review)
Review
OBJECTIVES
The aims of this paper is to search and explore publications in the field of pharmacovigilance for rare diseases and to visualize general information, research hotspots, frontiers and future trends in the field using the bibliometric tool CiteSpace to provide evidence-based evidence for scholars.
METHODS
We searched the Web of Science Core Collection (WoSCC) for studies related to pharmacovigilance for rare diseases, spanning January 1, 1997-October 25, 2022. CiteSpace software was utilized to discuss countries/regions, institutions, authors, journals, and keywords.
RESULTS
After screening, a total of 599 valid publications were included in this study, with a significant upward trend in the number of publications. These studies were from 68 countries/regions with the United States and the United Kingdom making the largest contributions to the field. 4,806 research scholars from 493 institutions conducted studies on pharmacovigilance for rare diseases. Harvard University and University of California were the top two productive institutions in the research field. He Dian of the Affiliated Hospital of Guizhou Medical University and Peter G.M. Mol of the University of Groningen, The Netherlands, were the two most prolific researchers. The Cochrane Database of Systematic Reviews and the New England Journal of Medicine were the journals with the highest number of articles and co-citation frequency respectively. Clinical trial, therapy and adverse event were the top three most cited keywords.
CONCLUSIONS
Based on keywords co-occurrence analysis, four research topics were identified: orphan drug clinical trials, postmarketing ADR surveillance for orphan drugs, rare diseases and orphan drug management, and diagnosis and treatment of rare diseases. Immune-related adverse reactions and benefit-risk assessment of enzyme replacement therapy were at the forefront of research in this field. Treatment outcomes, early diagnosis and natural history studies of rare diseases may become hotspots for future research.
Topics: Male; Humans; Rare Diseases; Pharmacovigilance; Systematic Reviews as Topic; Bibliometrics; Databases, Factual
PubMed: 37752556
DOI: 10.1186/s13023-023-02915-y -
Journal of Postgraduate Medicine 2019Biosimilars are being marketed in India since 2000. Like biologics, biosimilars have a large size, complex structure, and complicated manufacturing process, and they are... (Review)
Review
Biosimilars are being marketed in India since 2000. Like biologics, biosimilars have a large size, complex structure, and complicated manufacturing process, and they are produced in a living organism. It requires specialized delivery devices for administration and needs tighter temperature control to prevent degradation. As biosimilar development follows abbreviated pathway, adverse events (AEs) previously unknown during a clinical trial may be detected postmarketing. In India, the awareness on pharmacovigilance has increased significantly after implementation of the pharmacovigilance guidance in January 2018. However, biologics require tighter monitoring to ensure their safety and efficacy. This review article discusses the importance of pharmacovigilance for biosimilars, how it is different from generics, and provides recommendations to sensitize clinicians and researchers about the requirement of a different approach to improve pharmacovigilance for biosimilars. Pharmacovigilance for biosimilars is as important as it is for innovator biologics and more important than that for generics.
Topics: Biological Products; Biosimilar Pharmaceuticals; Drug Approval; Drugs, Generic; Humans; India; Pharmacovigilance
PubMed: 31571620
DOI: 10.4103/jpgm.JPGM_109_19 -
British Journal of Clinical Pharmacology Dec 2022Children frequently respond differently to therapies compared to adults. Differences also exist between paediatric age groups for pharmacokinetics and pharmacodynamics... (Review)
Review
Children frequently respond differently to therapies compared to adults. Differences also exist between paediatric age groups for pharmacokinetics and pharmacodynamics in both efficacy and safety. Paediatric pharmacovigilance requires an understanding of the unique aspects of children with regard to, for example, drug response, growth and development, clinical presentation of adverse drug reactions (ADRs), how they can be detected and population-specific factors (e.g., more frequent use of off-label/unlicensed drugs). In recognition of these challenges, a group of experts has been formed in the context of the conect4children (c4c) project to support paediatric drug development. This expert group collaborated to develop methodological considerations for paediatric drug safety and pharmacovigilance throughout the life-cycle of medicinal products which are described in this article. These considerations include practical points to consider for the development of the paediatric section of the risk management plan (RMP), safety in paediatric protocol development, safety data collection and analysis. Furthermore, they describe the specific details of post-marketing pharmacovigilance in children using, for example, spontaneous reports, electronic health care records, registries and record-linkage, as well as the use of paediatric pharmacoepidemiology studies for risk characterisation. Next the details of the assessment of benefit-risk and challenges related to medicinal product formulation in the context of a Paediatric Investigation Plan (PIP) are presented. Finally, practical issues in paediatric signal detection and evaluation are included. This paper provides practical points to consider for paediatric pharmacovigilance throughout the life-cycle of medicinal products for RMPs, protocol development, safety data collection and analysis and PIPs.
Topics: Humans; Child; Adult; Pharmacovigilance; Adverse Drug Reaction Reporting Systems; Drug-Related Side Effects and Adverse Reactions; Pharmacoepidemiology; Research Design
PubMed: 34699077
DOI: 10.1111/bcp.15119 -
British Journal of Clinical Pharmacology Feb 2017Current trends in pharmacovigilance systems are veering towards patient involvement in spontaneous reporting of adverse drug reactions (ADRs). The aim of the current... (Review)
Review
AIMS
Current trends in pharmacovigilance systems are veering towards patient involvement in spontaneous reporting of adverse drug reactions (ADRs). The aim of the current systematic review was to identify what is known and what remains unknown with respect to patient reporting to pharmacovigilance systems.
METHODS
A systematic literature search was conducted in PubMed, CINAHL, Journals@Ovid and the Cochrane Library. Studies were included if they contained: (i) reviews about patient reporting; (ii) evaluation of patient reports to national or supranational pharmacovigilance authorities; (iii) a comparison between patient and healthcare professional (HCP) reports submitted to pharmacovigilance authorities; and (iv) surveys of patient experiences, opinions and awareness about reporting ADRs. The methodological quality of the studies was assessed according to principles of Grading of Recommendations, Assessment, Development and Evaluations (GRADE).
RESULTS
A total of thirty four studies were included. Five of the studies were reviews (two of which systematic reviews), fourteen retrospective observational studies, nine surveys and six applied mixed research methods. Patient reporting has the advantages of bringing novel information about ADRs. It provides a more detailed description of ADRs, and reports about different drugs and system organ classes when compared with HCP reporting. In addition, patients describe the severity and impact of ADRs on daily life, complementing information derived from HCPs. Patient reporting is relatively rare in most countries.
CONCLUSIONS
Patient reporting adds new information, and perspective about ADRs in a way otherwise unavailable. This can contribute to better decision-making processes in regulatory activities. The present review identified gaps in knowledge that should be addressed to improve our understanding of the full potential and drawbacks of patient reporting.
Topics: Adverse Drug Reaction Reporting Systems; Drug-Related Side Effects and Adverse Reactions; Health Personnel; Humans; Patient Participation; Pharmacovigilance; Self Report
PubMed: 27558545
DOI: 10.1111/bcp.13098 -
Journal of Global Health Sep 2023Despite rising concerns regarding the safety of anti-obesity medications, there is a lack of comprehensive pharmacovigilance investigations utilising real-world data. We...
INTRODUCTION
Despite rising concerns regarding the safety of anti-obesity medications, there is a lack of comprehensive pharmacovigilance investigations utilising real-world data. We aimed to characterise the prevalence and seriousness of adverse drug events (ADEs) related to anti-obesity medications and to identify predictors associated with increased risk of serious adverse events (SAE), thereby conveying evidence on drug safety.
METHODS
We conducted a cross-sectional analysis on ADE cases spontaneously reported to the Korea Adverse Event Reporting System Database (KIDS-KD). ADE reports pertaining to anti-obesity medications prescribed for overweight, obesity (International Classification of Disease, 10th revision (ICD-10) code E66) and abnormal weight gain (ICD-10 code E63.5) were included in the analysis. We performed a disproportionality to detect the association of the system organ class-based ADEs with their seriousness an individual's sex by estimating reporting odds ratios (RORs) and their 95% confidence intervals (CIs). We performed logistic regression to investigate factors that are substantially associated with increased SAE risks by estimating odds ratio (OR) and their 95% CIs.
RESULTS
The most common causative anti-obesity medication was phentermine, followed by liraglutide. ADEs associated with psychiatric disorders (ROR = 1.734; 95% CI = 1.111-2.707), liver and biliary system disorders (ROR = 22.948; 95% CI = 6.613-70.635), cardiovascular disorders (ROR = 5.707; 95% CI = 1.965-16.574), and respiratory disorders (ROR = 4.567; 95% CI = 1.774-11.762) were more likely to be serious events. Additionally, men are more likely to experience ADEs related gastrointestinal disorders (ROR = 1.411) and less likely to have heart and rhythm disorders (ROR = 0.507). The risk of SAE incidences was positively correlated with being male (OR = 2.196; 95% CI = 1.296-3.721), dual or triple combination of anti-obesity medications (OR = 3.258; 95% CI = 1.633-6.501 and OR = 8.226; 95% CI = 3.046-22.218, respectively), and concomitant administration of fluoxetine (OR = 5.236; 95% CI = 2.218-12.365).
CONCLUSIONS
Seriousness of anti-obesity medication-related ADEs differs among system-organ class, while sex-related differences in ADE profiles are also present. The predictors substantially increasing risk of SAE incidences include being male, having a higher number of concomitant medications (including multiple combination of anti-obesity medications), and concurrent use of fluoxetine. Nonetheless, further pharmacovigilance investigation and monitoring are needed to enhance awareness on ADEs induced by anti-obesity medications.
Topics: Humans; Male; Female; Cross-Sectional Studies; Fluoxetine; Pharmacovigilance; Obesity; Cardiovascular Diseases
PubMed: 37651636
DOI: 10.7189/jogh.13.04095 -
Clinical and Applied... 2022Pharmacovigilance plays a lifesaving role in the practice of medicine. In 2021, during the Coronavirus Infectious Disease 2019 (COVID-19) pandemic, Loyola University...
Pharmacovigilance plays a lifesaving role in the practice of medicine. In 2021, during the Coronavirus Infectious Disease 2019 (COVID-19) pandemic, Loyola University Chicago launched a graduate-level Pharmacovigilance Certificate Program (PV-CERT) and a pre-professional non-graduate Pharmacovigilance Certificate Course (EPEC-PV), to provide students a comprehensive and contemporary understanding of the principles and practices of pharmacovigilance. Formal training in pharmacovigilance through this course provided a structured understanding of how safety data are generated through clinical trials and from real-world evidence as well as the regulatory environment in which data are monitored and interpreted. Pharmacovigilance training is of critical importance, especially during the COVID-19 pandemic, during which several drugs were re-purposed for the management of various stages of COVID-19 without conventional safety data. Moreover, the safety of currently-used vaccines is of concern in some populations. Although anticoagulants and antithrombotic medications are crucial in the management of COVID-19, a clear pharmacovigilance program on their use in this indication is not established. As the century progresses, new diseases and infectious agents will require novel therapies for which the evaluation of benefits versus risks will be as essential as it has been for the current COVID-19 pandemic. As such, the Loyola course and accompanying programs on pharmacovigilance will play a key role in educating the next generation of professionals in pursuing careers in the development of therapies that ultimately improve patient outcomes while maintaining rigorous safety standards.
Topics: COVID-19; Communicable Diseases; Humans; Pandemics; Pharmacovigilance
PubMed: 35848566
DOI: 10.1177/10760296221115112 -
Indian Journal of Pharmacology 2019
Topics: Artificial Intelligence; Humans; Pharmacovigilance
PubMed: 32029958
DOI: 10.4103/ijp.IJP_814_19