Academic literature on the topic '4P medicine'

4 P medicine is a concept used in healthcare and biomedical research that is based on the principles of prediction, personalization, prevention, and participation. It is increasingly used which has enabled the rapid development of medicine: several forms/types of pathologies have been discovered, for which specific treatments and appropriate prevention strategies have been developed, it has become possible to predict the evolution of health and disease, all these would be useless without the participation of the patient, family, and decision makers.The purpose of this article is to provide an overview of the 4 P medicine and its preventive, predictive, personalized, and participatory principles through the lens of clinical practice.Materials and Methods: The database was searched for the keywords “4P medicine”, “personalized medicine”, “participatory medicine”, “systems medicine”. For the term “systems medicine” we obtained 5,257,904 results, in the last 10 years - there were 2,396,921 publications, journal articles - 2.4 million citations, book chapters - 11 thousand, related to medicine - 1.6 million of the references. For the term “precision medicine” 158,239 references appeared, for “personalized medicine” - 91,883 citations and for “participatory medicine” - 17,579 references. Most references were published in English. For the search for “personalized medicine oncology” - 18,209 references appeared, for “personalized medicine neurology” 4,751 references were discovered, in the last 10 years 4,336 of them were published, being journal articles4,300 and 16 book chapters. Most publications talk about the use of the principles of personalized medicine (4P) in demyelinating pathologies, epilepsy, dementia, neuro-oncology, stroke, migraine, neuroimaging, and neurorehabilitation. Results and discussions: 4P medicine is at the intersection of three major trends: the growing ability of systems biology and medicine to decipher the biological complexity of pathologies, the digital revolution that has increased theability to collect, integrate, store, analyze and communicate data and information, and consumer access to information.Conclusion: 4P medicine is a concept used in biomedical research and human health care that was taken from systems biology and systems medicine. It is a form of approach that uses the principles of prevention, prediction, personalization, and participation to transform healthcare from a reactive to a proactive one. The use of the principles of 4P medicine in clinical practice allows the deciphering of forms of the disease, the stratification according to pathophysiological mechanisms, the application of personalized treatment to the patient, respectively more efficiently and with fewer adverse reactions.

Цель исследования. Обобщение и актуализация существующих данных о генетических и метаболомических исследованиях в акушерстве.Материалы и методы. В обзор включены данные приоритетных публикаций об исследовании генома и метаболома при акушерских осложнениях.Результаты и обсуждение. Изучение молекулярно-генетических механизмов развития акушерских осложнений максимально приблизит нас к 4П-медицине, построенной на принципах персонализированного подхода к здоровью человека и интегрирующей понятия персонализации (индивидуальный подход к каждому пациенту), предикции (создание вероятностного прогноза акушерской патологии), превентивности (профилактика акушерских осложнений), партисипативности (мотивированное участие пациента). Purpose of the study. Generalization and updating of existing data on genetic and metabolomic research in obstetrics.Materials and methods. The review includes data from priority publications on the study of the genome and metabolome in obstetric complications.Results and discussion. The study of the molecular genetic mechanisms of the development of obstetric complications will bring us as close as possible to 4Р-medicine, built on the principles of a personalized approach to human health and integrating the concepts of personalization (an individual approach to each patient), prediction (creation of a probabilistic forecast of obstetric pathology), prevention (prevention of obstetric complications), participation (motivated patient participation).

Abstrak: Dijelaskan bagaimana islam membenahi pendidikan, karakter, akhlak,moral dan tentunya cara berpikir para pemuda pemudi calon penerus generasi bangsa, bagaimana jalan tengah yang paling efektif untuk mereka tentunya agar dapat membenahi sikap dan sifat pada era global ini serta bagaimana pengaruh kajian islam pada fungsi 4P (Pembenah, Pembenar. Pelindung, Pelopor), bahwa genre 4P ini sangat penting adanya dijamin oleh kitab suci kalamullah, tanpa itu manusia akan selamanya terbengkalai dengan kelalaiannya, stay dengan kerusakkannya dan menghalalkan segala cara tuk mensukseskan hasratnya. Tujuan dalam penelitian ini adalah Membahas perihal pengembangan dan pendidikan karakter dalam islam, tentunya pokok utama adalah niat, mindset dan kesabaran tinggi. Metode yang dipakai dalam penelitian ini kami menggunakan beberapa metode, diantaranya kualitatif, metode ini kami kumpulkan dalam bentuk kata kata, bukan berupa angka bukan pula berupa gambar, kami juga menggunakan beberapa referensi dari website, jurnal, dan artikel. Hasil yang dicapai yaitu diantara metode pembenahan diri yang ada adalah dengan 4P dalam islam, 4P tersebut yakni Pembenahan, Pembenaran, Pelindung, dan Pelopor. 4P tersebut pastinya harus didasari dengan kebajikan dan keikhlasan.Kata Kunci: Karakter Remaja Muslim, Era Genre “4P”

The accelerating evolution of scientific terms connected with 4P-medicine terminology and a need to track this process has led to the development of new methods of analysis and visualization of unstructured information. We built a collection of terms especially extracted from the PubMed database. Statistical analysis showed the temporal dynamics of the formation of derivatives and significant collocations of medical terms. We proposed special linguistic constructs such as megatokens for combining cross-lingual terms into a common semantic field. To build a cyberspace of terms, we used modern visualization technologies. The proposed approaches can help solve the problem of structuring multilingual heterogeneous information. The purpose of the article is to identify trends in the development of terminology in 4P-medicine.

With the advent of modern cellular and genomic technologies, we have become participants in the integration of such areas as personalized, predictive, preventive, and precision medicine (referred to as 4P-medicine), into practical healthcare. In replace of the classic methods of diagnosis and treatment of diseases comes medicine, which makes it possible to predict (anticipate) the disease, and a personalized approach to each patient, taking into account their genetic, biochemical and physiological uniqueness. Precision medicine aims to improve the quality of medical care by opening up an individual approach to the patient and covers a wide range of areas, including drug therapy, genetics, and cause-and-effect relationships in order to make the right decisions based on evidence. 4P-medicine combines knowledge in the field of proteomics, metabolomics, genomics, bioinformatics with classical approaches of anatomy, therapy, laboratory and instrumental diagnostics as well as public health. The purpose of this review is to analyze and summarize the information available to date and to present examples of the application of modern approaches of medicine into clinical practice by diving into the example of inflammatory bowel diseases (IBD). The search for literature containing scientific information about relevant studies was conducted in the PubMed and Google Scholar systems with the use of the following keywords: precision medicine, 4P medicine, inflammatory bowel diseases. Despite significant progress in medicine in general, there is still a long way to go before implementing the principles of precision medicine in the field of IBD, since many clinicians continue to treat patients with IBD symptomatically. However, the use of specific biomarkers and new treatment strategies as described in the review, can significantly accelerate this path and contribute to the improvement of diagnostic and therapeutic approaches.

An overview of the architecture, regulatory documents and Internet sources on the digital transformation of occupational medicine, state IT platforms, the architecture of interdepartmental, interdisciplinary information interaction of IT systems, the formation of large user data, the use of risk management in functional personalized 4P medicine is presented. The principles of the formation of a unified information and analytical system “Occupational Medicine” are described.

Protein kinase CK2 is involved in regulating cellular processes, such as cell cycle, proliferation, migration, and apoptosis, making it an attractive anticancer target. We previously described a prenyloxy-substituted indeno[1,2-b]indole (5-isopropyl-4-(3-methylbut-2-enyloxy)-5,6,7,8-tetrahydroindeno[1,2-b]indole-9,10-dione (4p)) as a very potent inhibitor of CK2 holoenzyme (IC50 = 25 nM). Here, we report the broad-spectrum anticancer activity of 4p and provide substantial progress on its pharmacokinetic properties. Using a cell-based CK2 activity assay and live-cell imaging of cultured A431, A549, and LNCaP cancer cell lines, cellular CK2 target engagement was shown as well as strong antiproliferative, anti-migratory and apoptosis-inducing effects of 4p. Furthermore, evidence was found for the ability of 4p to disrupt A549 spheroid cohesion. A series of LC-MS/MS experiments revealed high and rapid cellular uptake (intracellular concentration is approximately 5 µM after 1 h incubation) and low metabolic stability of 4p. These results point to the value of 4p as a potent CK2 inhibitor with promising anticancer activities and should trigger future medicinal chemistry efforts to improve the drug-like properties of this compound.

At the present time, the 4P concept (predictive, preventive, personalised and participatory) is a prospective trend in development of clinical medicine. The concept is being actively introduced into diff erent medical specialities. However, the development of personalised approach in medical cosmetology as a speciality at the intersection of medical sciences (dermatology, maxillofacial surgery, plastic surgery, restorative medicine, general practice, psychiatry, clinical pharmacology, etc.) is at the stage of discussion. The concept of 4P medicine suggests, among other things, analysis of genetic risks and development of preventive procedures based thereon that would decrease the risk of cosmetological complications development. The review includes analysis of literature dated 2010-2020. The following databases in Russian and foreign languages were searched using the keywords and advanced search builders: E-Library, PubMed, Springer, Clinicalkeys, Google Scholar. In this paper, we introduce a novel compilation of the known gene polymorphisms that may be used for determination of the genetic risks in cosmetological patients.

La santé englobe le bien-être physique, mental et social, transcendant l'absence de maladie. Cette vision multidimensionnelle de la santé souligne l'importance du suivi à long terme de la santé des individus. Le bien-être social, ou plus largement psychosocial, associé à la qualité de vie au travail (QVT), est essentiel pour garantir la santé des travailleurs. Les risques psychosociaux (RPS) désignent des facteurs liés au travail pouvant influencer la santé et le bien-être des individus. Les RPS peuvent avoir des conséquences graves sur la santé des travailleurs, entraînant des problèmes tels que la dépression ou le burnout, mais aussi sur la productivité des entreprises, entraînant des pertes économiques conséquentes. Les employeurs peuvent lutter contre ces risques en évaluant les RPS sur le lieu de travail et en mettant en place des actions de prévention avec l'implication des salariés, tel que recommandé par la médecine 4P (prédictive, préventive, personnalisée et participative). Wittyfit, la plateforme dédiée à l'amélioration de la QVT, permet aux employeurs et aux salariés de faire face à ces défis. L'émergence des nouvelles technologies a révolutionné la santé au travail, permettant des soins de santé plus personnalisés grâce à la collecte et à l'analyse de données du monde réel. Ces données incluent une variété d'informations sur la santé des individus qui sont essentielles pour évaluer le bien-être des travailleurs, identifier les risques auxquels ils sont exposés, et suivre l'évolution de leur état de santé. Cependant, l'analyse des données du monde réel de santé au travail est complexe en raison de leur nature longitudinale, de la présence de clusters naturels de données, et des données manquantes. Cette thèse se concentre sur l'analyse des données de santé au travail pour améliorer la QVT et le bien-être des travailleurs. L'hypothèse principale est que l'étude de ces données permet d'identifier les facteurs psychosociaux et économiques en milieu professionnel. Les enjeux médico-économiques portent sur l'évaluation des RPS, l'identification des facteurs de risques, et l'étude de leurs conséquences sur la performance des entreprises avec un focus sur l'absentéisme. Les enjeux statistiques portent sur le développement et l'application de modèles statistiques complexes répondant aux défis méthodologiques de l'analyse de données de santé au travail
Health encompasses physical, mental, and social well-being, transcending the absence of disease. This multidimensional vision of health underlines the importance of long-term monitoring of individual health. Social well-being, or more broadly psychosocial well-being, associated with quality of life at work (QWL), is essential to guarantee workers' health. Psychosocial risks (PSR) refer to work-related factors that can influence the health and well-being of individuals. PSR can have serious consequences for workers' health, leading to problems such as depression or burnout, but also for business productivity, resulting in substantial economic losses. Employers can fight against these risks by assessing RPS in the workplace and implementing preventive actions with employee involvement, as recommended by P4 medicine (predictive, preventive, personalized and participative). Wittyfit, the platform dedicated to improving QWL, enables employers and employees to meet these challenges. The emergence of new technologies has revolutionized occupational health, enabling more personalized healthcare through the collection and analysis of real-world data. This data includes a variety of information on individual health that is essential for assessing workers' well-being, identifying the risks to which they are exposed, and tracking changes in their health status. However, the analysis of real-world occupational health data is complex due to its longitudinal nature, the presence of natural clusters of data, and missing data. This thesis focuses on the analysis of occupational health data to improve QWL and worker well-being. The main hypothesis is that the study of these data enables the identification of psychosocial and economic factors in the workplace. The medico-economic issues concern the evaluation of PSR, the identification of risk factors, and the study of their consequences on company performance, with a focus on absenteeism. Statistical issues concern the development and application of complex statistical models to meet the methodological challenges of occupational health data analysis

碩士
義守大學
公共政策與管理學系碩士班
98
The main purpose of training and education in working fields is for us to gain the related abilities that we need in working place. The research mainly focuses on the effects of product knowledge and sales skills work training and education on working performance. Basing on 160 effective questionnaire samples, we adopt the way of hierarchical regression analyses to validate the effects of product knowledge and sales skills work training and education on working performance. As the result of demonstration shows, that product knowledge and sales skills work training and education have notable effects. The choice and use of basic training and education on sales skills and product knowledge are both very important. These two kinds of training can positively affect working performance. So both kinds of training should be made regularly in employees’ working life in order to make better work performance. Since work performance has a positive correlation with the degree of both kinds of training and education. The result of demonstration also proves that both kinds of training in pharmaceutical factory are necessary, at the same time, it would be better for employees to get the training at some relaxing places. This research presents the conclusion and recommendations.

With the massive digital innovation and adaptions, healthcare is also changing quickly to digital health care. The term ‘digital twin' refers to a wide-reaching concept that comprises the structure via amalgamating many technologies and functionalities for digital transformation in the healthcare sector. The digital twin (DT) will enable the healthcare industry to reform, enhance, and optimize comprehensive and complicated clinical trials. This chapter will feature digital twin broadly, using the 4P Medicine framework for a sustainable medical solution. DT will enable personalized, predictive, participative, and preventive medical solutions for patients of today to an improved state of patient of tomorrow by incorporating pre-specified covariate modifications.

The paper proposes an innovative approach to expanding the application scope of Data Fabric technology, which is currently used almost exclusively for the creation of corporate data warehouses. The approach provides access to digital data of a particular person not on the principles of their consolidation from heterogeneous sources, but on the principles of virtual integration. Services of such Data Fabric make available on-demand access to data coming from wearable personal devices, and data extracting from laboratory clinical research documents, questionnaires, electronic health records instead of information about corporation units, products, services provided, etc. These personal data are rendered related to the certain systems of human organism, and the relationships reflect both paradigmatic, causal and temporal dependencies between the data, and lines of "communication" corresponding to the basic physiological systems of the human body. The concept of a "personal data fabric" is introduced and the application of this concept to data semantic integration, aggregation and visual analytics in the field of digital 4P-medicine is described.

Introdução:Síndrome de Wolfram ou DIDMOAD, sigla referente os principais achados clínicos diabetes insipidus, diabetes mellitus, atrofia óptica e surdez. Para suspeitar que um paciente é acometido por essa doença são necessários dois achados clínicos: atrofia ótica e diabetes mellitus. Objetivo: Indicar as características clínicas e genéticas da Doença de Wolfram. Método:Realizou-se uma revisão bibliográfica, a partir das bases de dados PubMed e Scielo. Os descritores foram: doença de Wolfram, DIDMOAD. Utilizaram-se neste estudo trabalhos publicados entre os anos de 2016 e 2021. Resultado: Doença de Wolfram é reconhecida como modelo de desordem no retículo endoplasmático (RE), conduzindo à produção de proteínas com dobramento inadequado, desregulação na homeostase do cálcio e consequente stress no RE das células beta, neurônios, células ganglionares da retina e oligodendrócitos, causando a disfunção e degeneração do tecido afetado. Sinais clínicos adicionais são: hipopituitarismo, neuropatia periférica, doenças psiquiátricas e problemas urinários. A expectativa de vida é de 35 anos, devido a progressão da doença, principalmente por disfunções neurológicas que ocasionam falência respiratória. Duas desordens genéticas principais causadoras da síndrome de Wolfram: a síndrome de Wolfram 1 (WFS1), forma clássica da síndrome é causada por uma mutação autossômica recessiva do gene WSF1, localizado no cromossomo 4p, responsável pela produção de uma proteína chamada wolframina. Poucos pacientes têm mutações no gene CIDS2 o qual é responsável pela síndrome de Wolfram 2 (WS2), autossômica e recessiva. Conclusão:A análise genética de mutações tem um papel fundamental, o que pode permitir o desenvolvimento de tratamento baseados no conhecimento da relação gene-proteína. PALAVRAS-CHAVE: DIDMOAD, Wolfram, wsf1, wsf2, retículo endoplasmático