Global Congress on Healthcare and Technologies December 13-14, 2021 Zurich, Switzerland

Biography:

Theodore M. Brown completed his PhD in the History of Science at Princeton University and pursued postdoctoral studies in the History of Medicine and Public Health at Johns Hopkins University. He spent 42 years on the faculty of the University of Rochester and is now Professor Emeritus of History and of Public Health Sciences. He is the author or co-author of several books and many articles in peer reviewed journals. His most recent book is a co-authored history of WHO, “The World Health Organization: A History” (Cambridge University Press, 2019). He has served for over twenty years as the History Editor of the American Journal of Public Health.

Abstract:

In these times of the worldwide COVID-19 crisis, it is useful to turn to medical and public health history for desperately needed perspective and applicable lessons. By looking closely at the past we can gain a better understanding of the complex epidemiology of pandemics and of the need for rigorous data and its robust collection, of the value of social mitigation and other non-pharmaceutical interventions, of the impact of resistance to these measures based either on political opposition or cumulative fatigue, of the success of vaccines and other biomedical interventions and the differential demographic distribution of these measures, of the impact of pandemics on national populations, economies, and health systems, and of the role of international health organizations and global health regulations. I have addressed some of these issues in two of my recent publications in the American Journal of Public Health: “COVID-19, China, the World Health Organization, and the Limits of International Health Diplomacy” (August, 2020 AJPH) and “The COVID-19 Pandemic in Historical Perspective: An AJPH Dossier” (March, 2021 AJPH). In this presentation I will summarize my prior publications and update them with data from more recent developments.

Biography:

Prof. Dr. Scarlat Florea. Holder: Physicist engineer diploma, PhD diploma, University professor title and Head of the Physics department at UVT. He is Member of the New Yok Academy of Sciences, and Founding Member of the Balkan Union of Oncology (BUON) Athens. He introduced high energies in the treatment of cancer in Romania, using the 30 MeV IFA Betatron and built in Romania the first 40 MeV IFA medical betatron (with electron beams of 10, 15, 20, and 25 MeV and the 35 MeV photon beam, EPAC96 London). He was Scientific Director of IFIN-Bucharest, Director of GEC-RON, Leicester, England. Currently, he is a Consultant Manager at the STARDOOR laboratory founded by him within the National Institute for Laser, Plasma and Radiation Physics.

Abstract:

The paper presents the law of radioactive decay to define the activity intake;  the cumulated activity and the number of transformations in the S source organ; the law of photon attenuation and absorption for defining the interaction coefficients for photons; the "law" of stopping powers by ionizing and exciting the atoms, to define the interaction coefficients of charged particles and the "law" of the electromagnetic radiation of the black body. Basic concepts and principles for internal and external exposure: dosimetry quantities, calibration factors and the quantities of radiation protection: organ absorbed dose, equivalent dose and effective dose; for the evaluation of protection quantities at external exposure: the dose equivalent and the operational quantities to estimate effective dose; for internal exposure assessment: the mean absorbed dose estimation (MIRD) in the T target organ, based on the physical factor S₀, tabulated, and the internal dose estimation (ICRP), based on specific effective energy, SEE, equivalent dose in T per transformation in S. The committed dose equivalent, H_T(τ), the committed effective dose, E(τ), where τ is the period of internal irradiation, 50 years for adults and 70 years for children. The total annual effective dose for occupational exposure is, E(W) = H_P(10) + E(50), where H_P(10) is the personal dose equivalent. The annual effective dose to the public is the sum of the effective dose obtained in one year from external exposure with the committed effective dose due to the radionuclides incorporated in the same year.

Biography:

Johannes Bircher Born in 1933, he studied medicine at the Universities of Lausanne, Switzerland, Munich, Germany and Zürich, Switzerland. His professional career in internal medicine continued at the Mayo Clinic in Rochester, USA, and the University Hospital in Zürich. From 1975 to 1989 he was Associate Professor at the University of Bern, Switzerland and Full Professor at the University of Göttingen, Germany, both in the Department of Clinical Pharmacology. He concluded his formal career as the Dean of the Medical School of the University of Witten/Herdecke, Germany and as the Director of Medical Services at the University Hospital in Bern, Switzerland. He is known as an author and editor in scientific medical literature and is an Honorary Member of the Swiss Academy of Medical Sciences

Abstract:

In healthcare the physician’s purpose is to improve as much as possible the health of persons who are diseased. So far this was realized intuitively and by medical ethics because no valid definition of health has been available. This became complicated in the last decades because politicians introduced procedures to reduce healthcare costs. In order to create a rational basis for this conflict, I have published a new definition of health in 2020 (ihj-2020-000046). It reads: “A healthy individual must be able to meet all the demands of life. Resources for this purpose consist of a biologically given potential (physical body) and a personally acquired potential (immaterial personality). The demands of life and both potentials are continuously interacting with each other and with the social and natural surroundings. Thus, human health acts as a complex adaptive system.” Healthcare must therefore consider all five determinants of health including their interactions. Due to financial pressures, however, a practice has recently been evolved that limits care mostly to defects of the biologically given potential while largely neglecting the personally acquired potential. Also, nurses’ salaries were kept down. For these problems, the Meikirch model offers the new possibility to rationally weigh medical values against economic values. It can be trusted that by this process decision makers on both sides will in a rational process eventually find solutions that solve the conflicts between the ethics of healthcare and the saving efforts of politicians.  

Biography:

Dr. Amir Tarighpeyma graduated from Medical School in 1994, and started his doctoral degree in Alzheimer’s disease, a condition that fascinated him since his time at University. He got his degree in Research in 1996, and then went on and continued working as aesthetic medicine and hair restoration in different clinics, until in 1996 founded his own clinic. Since 2012 what started as a small clinic has now become a group giving support to more than 7000 patients a year. In 2010 he joins IE Business School to teach entrepreneurial management and in 2013 he joins IE University to teach Economics which is another of his majors and passion. In 2018 he is certified as hair specialistby Universidad de Alcala and joins the Spanish Society of Medicine and Hair Restoration Surgery while at the same year he creates the division of Hair medicine and transplant in his clinics, treating many patients to date, many who have undergone hair restoration surgery. In 2019 he is appointed as the Head of the Department of Hair restoration at Hospital Infanta Mª Luisa in Seville. Currently he sees patients from all over Spain and other countries, suffering from non-scarring and scarring alopecia.

Abstract:

Recent studies have shown a direct relationship between covid-19, responsible for the current pandemic, and a significant increase in hair loss called telogen effluvium. This phenomenon is being observed in both women and men, in similar proportions, although those more concerned about the entity tend to be women. Acute telogen effluvium is an alteration of the hair growth cycle that causes very noticeable hair loss for a limited and reversible time. It consists of the hair accelerating its entry into the telogen phase or phase of fall. A circumstantial condition of the scalp caused by factors such as stress, nutrient deficiency or different endocrinological, infectious diseases, etc. This review explores a significant increase of alarmed patients who come to the consultation reporting having observed an exaggerated increase in fallen hair, especially on the comb or brush, or on the pillow or mattrest two to three months after being diagnosed of Covid-19, To this, we must add the stress generated in the patient by striking hair loss, which creates a vicious circle, from which it is sometimes difficult to get out

Biography:

Aida Budrevičiūtė completed her PhD in Public health at Lithuanian University of Health Sciences. She is the Development director of BIYOMA. She has published more than 10 papers in reputed journals and presented the results of dissertation at scientific conferences. Her scientific interests are competitiveness, value creation, type 2 diabetes mellitus, primary health care.

Abstract:

Background. A competitive advantage in health care institutions can be cultivated by marketing activities and value creation for patients with chronic diseases in primary health care.

Aim of the study. To explore the perspectives of patients with type 2 diabetes mellitus on marketing mix elements in the primary health care institutions of Lithuania.

Materials and methods. The design of the national study was based on a survey of patients with T2DM that was conducted after consultation with a family physician in primary health care institutions in Lithuania.

Results. The occupation of respondents with T2DM (rcr = 0.151, p = 0.009) and affiliation to primary health care institution (rcr = 0.091, p = 0.040) statistically positively affect the marketing mix element of “Price.” The marketing mix elements of “Promotion” and “People” do not statistically significantly depend on the sociodemographic characteristics of the respondents. Only a weak correlation between the sociodemographic characteristics of the respondents and the marketing element of “Place” was found. The “Process” element is statistically significantly more relevant to patients with an average monthly income of €350 (rcr = 0.104, p = 0.019). The element of “Physical evidence” is more statistically significantly related to respondents with an average monthly income of €350 (rcr = 0.092, p = 0.038).

Conclusions. Marketing mix analysis provides information about patients’ expectations of primary health care services and identifies areas of improvement for the health services provided by primary health care institutions.

Biography:

Prof. Dr. Anil Batta is presently professor & Head with senior consultant in Govt. Medical College, Amritsar. He did his M.B.B.S. and M.D. in Medical Biochemistry from Govt. Medical College, Patiala in 1984 and 1991, respectively. His research interest is mainly in clinical application especially cancer and drug de-addiction. He has supervised more than 25 M.D., M.Sc. and Doctorate researches and published more than 130 international research papers. He is the chief editor of America’s Journal of Biochemistry. He is also working as advisor to the editorial board of International Journal of Biological and Medical Research. He has been deputed member Editorial Board of numerous International & National Medical Journals of Biochemistry. He has also been attached as technical advisor to various national and international conferences in Biochemistry. He has been attached as hi-tech endocrinal, genetics and automated labs of Baba Farid Univ. of Health Sciences, Faridkot. He has chaired various sessions in the Biochemistry meets. He has been designated as member Editorial Board of various in US and other European Courtiers. He is also involved in various research projects at Govt. Medical, Amritsar. He has done superspecialisation in Drug-de-addiction from PGIMER, Chandigarh.

Abstract:

Twitter is a microblogging service where users can send and read short 140-character messages called "tweets." There are several unstructured, free-text tweets relating to health care being shared on Twitter, which is becoming a popular area for health care research. Sentiment is a metric commonly used to investigate the positive or negative opinion within these messages. Exploring the methods used for sentiment analysis in Twitter health care research may allow us to better understand the options available for future research in this growing field. OBJECTIVE: The first objective of this study was to understand which tools would be available for sentiment analysis of Twitter health care research, by reviewing existing studies in this area and the methods they used. The second objective was to determine which method would work best in the health care settings, by analyzing how the methods were used to answer specific health care questions, their production, and how their accuracy was analyzed. METHODS: A review of the literature was conducted pertaining to Twitter and health care research, which used a quantitative method of sentiment analysis for the free-text messages (tweets). The study compared the types of tools used in each case and examined methods for tool production, tool training, and analysis of accuracy. RESULTS: A total of 12 papers studying the quantitative measurement of sentiment in the health care setting were found. More than half of these studies produced tools specifically for their research, 4 used open source tools available freely, and 2 used commercially available software. Moreover, 4 out of the 12 tools were trained using a smaller sample of the study's final data. The sentiment method was trained against, on an average, 0.45% (2816/627,024) of the total sample data. One of the 12 papers commented on the analysis of accuracy of the tool used. CONCLUSIONS: Multiple methods are used for sentiment analysis of tweets.

Biography:

Prof. Abdel-Badeeh Salem is a full Professor of Computer Science since1989 at Ain Shams University, Egypt. He has published around 600 papers (110 of them in Scopus). He has been involved in more than 600 International conferences and workshops as; a keynote and plenary speaker, member of Program Committees, workshop/invited session organizer, Session Chair and Tutorials.. In addition he was a member of many international societies. In addition he is a member of the Editorial Board of 50 international and national Journals Also, He is member of many Int. Scientific Societies and associations elected member of Euro Mediterranean Academy of Arts and Sciences, Greece. Member of Alma Mater Europaea of the European Academy of Sciences and Arts, Belgrade and European Academy of Sciences and Arts, Austria.

Abstract:

Knowledge engineering (KE) deals with the development of intelligent information systems in which knowledge and reasoning play pivotal role. KE is a subfield of artificial intelligence (AI) and includes: ontological engineering, knowledge acquisition, knowledge-based systems, knowledge compilation, shells and tools, methodologies, modeling, knowledge management, knowledge discovery, and knowledge representation. The talk is devoted to discussion of current research of the AI techniques and knowledge engineering paradigms in developing the intelligent healthcare and medical knowledge-based systems. Moreover, the talk addresses the  technical challenges faced by the  softare knowledge engineers in developing such systems. In addition, the talk presents some applications of the developed systems by the author and his colleagues at AIKER-Labs for cancer, heart, brain tumor, Alzheimer, thrombosis and COVID-19 diseases.                                                           .                                                                                                                                          

Biography:

Irene is a research leader at the Cardiac Prevention and Rehabilitation Institute in middle east’s biggest medical center, Tel HaShomer, Israel. She is leading remote cardio rehabilitation study which heavily uses wearable devices, web and mobile applications. Irene works closely and advising various Health-Tech startups.She has completed her PhD at Ariel University, Israel. Irene published several papers and presented her research in conferences.

Abstract:

Introduction: The global crisis following the COVID-19 pandemic requires the healthcare system to adapt and adopt new technologies to meet new challenges. With the announcement of the general closure, cardiac rehabilitation centers in Israel were closed and patients were left without regular training and risk factor management. In contrast, the Remote Cardiac Rehabilitation Program (RCRP), which had been developed ahead, continued to function. The purpose of this study was to evaluate the performance of RCRP during the pandemic.

Method: We compared retrospective cohort data on the performance of RCRP patients and care teams over two time periods: (P1) nine weeks during the normal, pre-closure period; and (P2) seven weeks following the commencement of closure. Included in the analysis were parameters of exercise adherence, objective training efficacy, and satisfaction.

Results: The analysis included 38 patients, 92% male, age 58±11 enrolled in the RCRP predominantly following myocardial infarction or coronary interventions (57%). Patient activity during the closure period trended to increase with higher average exercise minutes per week (240 min), as well as exercise minutes performed at the designated target heart rate zone (all p for trend < 0.05). In a mid-study survey, over 86% of patients responded that they felt safe and satisfied with the RCRP.

Conclusion: The RCRP, has proven to be reliable and effective in the face of uncertainty and national crisis. Automation by flexible rules, incorporated in the system, resolved numerous time-consuming tasks, thus allowing for more time to be dedicated to human interaction.

Biography:

Dr. Mohamed O Nour is a medicine graduate. Hold M.B.B.CH from Al-Azhar University, Diploma & Master in Pediatrics from Ain Shams University, Master and MD in Public Health & Community Medicine from Al-Azhar University, Egypt in 2011. He works as an assistant professorof Public Health & Community Medicine at Damietta Faculty of Medicine, Al-Azhar University, Egypt and Faculty of Public Health & Health Informatics, Umm Al-Qura University, Makkah, KSA. He shared in putting undergraduate programs. He has undergone various training and certifications and attended several workshops, seminars and conferences in his professional career.

Abstract:

Background: Arrival of COVID-19 pandemic in Egypt triggered national preparedness and integrated response including domestic self-quarantine. We aimed to investigate community awareness and commitment towards voluntary self-quarantine at home in Damietta Governorate – Egypt during COVID-19 pandemic.

Methods: A web-based cross-sectional survey was designed including a total of 500 adult participants from Damietta, Egypt between April 10 and July 15, 2020. Participants were asked about their socio-demographics, sources of knowledge about COVID-19, awareness towards methods of COVID-19 prevention, commitment to home self-quarantine measures, and their trust in governmental measures, community resources and emergency services.

Results: Only 18.4% were quarantine responders and the main causes of leaving home were buying essentials and food and going to work. Their response was significantly higher among older ages and those with a history of chronic illness while non-response was significantly obvious among married, working, and those with low family income. Quarantine responders were significantly more dependent on reliable sources than the others (59.8% vs 39.7%, p=0.001). About 39.2% reported accepted (good) knowledge towards effective methods of COVID-19 prevention and the overall accepted knowledge was significantly higher among quarantine responders. Their trust in governmental measures, community resources, and emergency services to face the pandemic was poor (84.6%, 71.8%, and 79%) respectively with no significant differences between both groups.

Conclusion: Compliance with and engagement in voluntary self-quarantine in Egypt is poor. Public response to quarantine is affected by sociodemographics and their trust in governmental measures, community resources, and emergency services which were poor. Understanding how quarantine is perceived in Egypt is important to provide public support and to improve containment of pandemic influenza.