Porous Organic Nanofiber Polymers as Superfast Adsorbents for Capturing Pharmaceutical Contaminants in Water

The development of simple, low-cost adsorbents is critical for waste management in the medical industry (in particular, pharmaceutical and personal care product (PPCP) waste) to restore the natural state of...

CANCER AND COVID-19. A COMBAT STRATEGY

Strict quarantine measures and the unpreparedness of the medical industry have exacerbated public health problems on all continents. The number of patients with advanced stages of cancer has increased at the end of the year. Several approaches could mitigate the negative effects of Covid-19 on screening programs. International oncology organization «European Society of Medical Oncology» (ESMO) has launched a section COVID 19 on its website. We believe that some aspects of the ESMO recommendations should be widely presented. The feasibility of vaccinating cancer patients against COVID-19 is undeniable

A Human in Modern Medicine: From the Restoration of Health to Improve

The article analyzes the dynamics of the development of medical models of treatment of deviations from the health norm, discusses the issue of changing ideas about the human health in medicine. It is shown that as a result of changes in the conceptual understanding of health and the process of its restoration, the principle of achieving a commercially profitable, fast and controlled result is introduced into modern medicine, as a result of that the process of medical treatment is standardized and regulated. But the preservation of object optics of views in the medical industry, as shown in the article, becomes ineffective, moreover, risky in a situation of moving boundaries of the human health norm. To overcome the existing risks, new institutes and practices of ethical examination of health standards are being introduced into medicine. It is shown that the accepted deliberative practices of ethical expertise only introduce a procedure for taking into account the patient’s position regarding the boundaries of their health standards and the limits of medical intervention. At the same time, the patient’s position is considered as something ready, initially given, in other words, the classic “human project” continues to be defended in medicine.

Formation of interregional clusters on the basis of industry specialization of the area

Subject. This article explores the socioeconomic relations that arise in the process of formation of interregional clusters. Objectives. The article aims to explore industry specialization and clustering within the territory of the Central Black Earth macroregion. Methods. For the study, I used analysis and synthesis, induction and deduction, and the empirical method. Results. Based on the analysis of the industry specialization of the Central Black Earth macroregion’s economy, the article shows the economic and social effects of the implementation of interregional agreements. It proposes to create a chemical and pharmaceutical cluster of the medical industry in this economic region. Conclusions. The chemical and pharmaceutical cluster is of great importance under present-day conditions. It is a driver to boost employment and improve the quality of life of the population.

Identifying institutional barriers when implementing new technologies in the healthcare industry

PurposeVirtual and augmented reality solutions in medicine are generally applied in communication, training, simulation and therapy. However, like most new digital developments, these technologies face a large number of institutional barriers that are inherent to the medical sector.Design/methodology/approachFollowing Richard Scott's view on institutions and organizations, a multiple case study is used to analyze regulatory, normative and cultural-cognitive institutional pillars in the medical industry.FindingsThe results of the study demonstrate that (1) the regulatory pillar inhibits the advancement of new technologies in the approach to treatment, regulation of patient data, educational processes for medical staff, and information and financial flows; (2) the number of barriers increases based on the solution's level of disruption and the number of variable conventional procedures; (3) trust between participants in the medical industry plays an important role in introducing new technologies; (4) new participants need to address certain pillars depending on the area of application.Originality/valueThe authors discuss top-down and bottom-up approaches for overcoming institutional barriers when implementing augmented and virtual reality solutions for companies focusing on the medical market.

HOW TO MANAGE INTELLECTUAL CAPITAL CONFIGURATIONS TO IMPROVE FIRM PERFORMANCE IN THE INTERNET MEDICAL INDUSTRY

The internet medical industry is a new direction of the medical industry; however, internet medical enterprises have been going through a reshuffling period after 2016 and urgently need to improve their performance. The main aim of this study was to reveal the relationship between intellectual capital (IC) configurations and firm performance and guide ideal IC configuration decision to improve the performance of internet medical enterprises in China. First, a mechanism model was constructed to reveal the effects of IC configurations on firm performance, which is contribution to enrich IC configuration theory research. Then, fuzzy-set qualitative comparative analysis (fsQCA) was used to guide its IC configurations selection currently using data from internet medical enterprises in China from 2012 to 2019. The research is contribution to enrich application research of IC configuration. The results show that IC affects firm performance by means of the configuration; currently ideal IC configurations selection of the internet medical industry should pay attention to human, relationship and physical capital; period and specific business will both affect the choice of IC configuration. The results of this study can deepen managers’ understanding of IC configurations and guide ideal IC configurations selection in the internet medical industry.

Additive Manufacturing in Customized Medical Device

The long-established application of rapid prototyping in additive manufacturing (AM) has inspired a revolution in the medical industry into a new era, in which the clinical-driven development of the customized medical device is enabled. This transformation could only be sustainable if clinical concerns could be well addressed. In this work, we propose a workflow that addresses critical clinical concerns such as translation from medical needs to product innovation, anatomical conformation and execution, and validation. This method has demonstrated outstanding advantages over the traditional manufacturing approach in terms of form, function, precision, and clinical flexibility. We further propose a protocol for the validation of biocompatibility, material, and mechanical properties. Finally, we lay out a roadmap for AM-driven customized medical device innovation based on our experiences in Hong Kong, addressing problems of certification, qualification, characterization of three dimensional (3D) printed implants according to medical demands.

Promising directions of information technologies applications for improving of control and measuring devices in medical industry

The article deals with the problems of functioning and improvement of measuring and control devices in the medical industry. The classification, principles of organization of specialized, multifunctional and single-functional medical instrument and computer systems are considered. A model for solving the problem of scalability and availability through the use of non-relational data management systems that combine methods for achieving atomicity and data consistency is proposed. The promising diagnostic methods in medicine are described. The importance of a prompt assessment of the patient’s condition is emphasized. The optimization and modernization of the digital radiography using modern machine learning algorithms are given and justified.

Comparison of Kidney Segmentation Under Attention U-Net Architectures

One of the most prominent machine learning advantages in the medical industry is the early detection of disease. Automatic kidney detection is of great importance for rapid diagnosis and treatment, where related diseases occupy over 73,750 new cases in the US in 2020 [1]. Today, the performance of diagnosis has been by highly trained radiologists. However, the complex structures contribute to speckle noise and inhomogeneous intensity profiles. Thus, there is a necessity to automate segmentation on kidney ultrasounds using U-Net Deep Learning architectures - an innovative solution for Medical Imaging Analysis. In this research, our focus is on the comparison of Attention U-Net in the context of different backbones such as VGG19, ResNet152V2, and EfficientNetB7. By providing this comparison, we will accomplish a survey for future researchers to more effectively decide on which Attention U-Net architecture to utilize for their segmentation projects.