Experiência da Brigada Médica Cubana "Henry Reeve" no confronto com COVID-19 na África do Sul

Introduction: South Africa, the nation most affected by SARS-CoV-2 in Africa, requested medical assistance from Cuba. The Henry Reeve International Contingent of Specialized Doctors in Disaster Situations and Serious Epidemics sent a brigade to strengthen medical collaboration. Objective: review the composition of the group, the assistance activities carried out, experience and impact of the work supported by the "Henry Reeve" Cuban Medical Brigade in South Africa to confront COVID-19 and other health problems. Method: a descriptive cross-sectional study was carried out between April 2020 and May 2021. Some instruments were built to collect daily and weekly information, as well as the Minsap model 241-492 with monthly periodicity.Results: the brigade was made up of 184 collaborators: 114 physicians (62.0%) and 70 health technicians and graduates (38.0%). Sex male was predominant (61.4%) and the average age was 43 years. More than 255,940 patients were attended at the field hospital, of which 116,234 were COVID-19 confirmed patients. A total of 1,294 surgical interventions, 320 deliveries and 44,692 nursing procedures were performed, which contributed to saving the lives of 1,519 patients, 66% of whom were COVID-19 positive. The death of 643 patients was regretted, 97% of them due to disease complications. The work carried out by epidemiologists, medical equipment maintenance specialists, biostatisticians and pharmacists was highlighted. Conclusions: the meritorious work carried out by the "Henry Reeve" Cuban Medical Brigade in the fight against the COVID-19 pandemic and its support to health institutions of the South African National Health System is acknowledged.Introducción: Sudáfrica, nación más afectada por el SARS-CoV-2 en África, solicitó ayuda médica a Cuba. El Contingente Internacional de Médicos Especializados en Situaciones de Desastres y Graves Epidemias “Henry Reeve” envió una brigada para reforzar la colaboración médica. Objetivo: describir la composición del grupo, actividades asistenciales realizadas, experiencia e impacto del trabajo de la Brigada Médica Cubana “Henry Reeve” en Sudáfrica para el enfrentamiento a la COVID-19 y otros problemas de salud. Método: se realizó una investigación descriptiva transversal, entre abril 2020 y mayo 2021. Se confeccionaron instrumentos para la recolección de la información diaria y semanal, así como el modelo 241-492 del Minsap con periodicidad mensual. Resultados: la brigada estuvo conformada por 184 colaboradores: 114 médicos (62,0 %) y 70 licenciados y técnicos de salud (38,0 %). Predominó el sexo masculino (61,4 %) y la edad promedio fue de 43 años. Fueron atendidos más de 255 940 pacientes, de ellos, 116 234 relacionados con la COVID-19. Se realizaron 1 294 intervenciones quirúrgicas, 320 partos y 44 692 procederes de enfermería; lo que contribuyó a salvarle la vida a 1 519 pacientes, entre ellos el 66 % fue positivo a COVID-19. Se lamentó el fallecimiento de 643 pacientes, el 97 % por complicaciones de dicha enfermedad. Se destacó el trabajo realizado por epidemiólogos, electromédicos, bioestadísticos y farmacéuticos.Conclusiones: se reconoce la meritoria labor desempeñada por la Brigada Médica Cubana “Henry Reeve” en el enfrentamiento a la COVID-19 y su contribución en instituciones del Sistema Nacional de Salud de Sudáfrica.Introdução: A África do Sul, a nação mais afetada pelo SARS-CoV-2 na África, solicitou ajuda médica de Cuba. O Contingente Internacional de Médicos Especializados em Situações de Desastre e Epidemias Graves “Henry Reeve” enviou uma brigada para reforçar a colaboração médica. Objetivo: descrever a composição do grupo, as atividades assistenciais realizadas, a experiência e o impacto do trabalho da Brigada Médica Cubana "Henry Reeve" na África do Sul para enfrentar o COVID-19 e outros agravos à saúde.Método: pesquisa descritiva transversal realizada entre abril de 2020 e maio de 2021. Foram confeccionados instrumentos de coleta de informações diárias e semanais, bem como o modelo Minsap 241-492 com periodicidade mensal. Resultados: a brigada era composta por 184 colaboradores: 114 médicos (62,0%) e 70 graduados e técnicos em saúde (38,0%). Predominou o sexo masculino (61,4%) e a média de idade foi de 43 anos. Mais de 255.940 pacientes foram tratados, deles 116.234 relacionados ao COVID-19. Foram realizadas 1.294 intervenções cirúrgicas, 320 partos e 44.692 procedimentos de enfermagem; o que contribuiu para salvar a vida de 1.519 pacientes, entre eles 66% eram positivos para COVID-19. A morte de 643 pacientes foi lamentada, 97% devido a complicações desta doença. O trabalho realizado por epidemiologistas, eletromédicos, bioestatísticos e farmacêuticos foi destaque. Conclusões: é reconhecido o meritório trabalho realizado pela Brigada Médica Cubana “Henry Reeve” no enfrentamento ao COVID-19 e sua contribuição às instituições do Sistema Nacional de Saúde da África do Sul

AI and precision oncology in clinical cancer genomics : from prevention to targeted cancer therapies-an outcomes based patient care

Precision medicine is the personalization of medicine to suit a specific group of people or even an individual patient, based on genetic or molecular profiling. This can be done using genomic, transcriptomic, epigenomic or proteomic information. Personalized medicine holds great promise, especially in cancer therapy and control, where precision oncology would allow medical practitioners to use this information to optimize the treatment of a patient. Personalized oncology for groups of individuals would also allow for the use of population group specific diagnostic or prognostic biomarkers. Additionally, this information can be used to track the progress of the disease or monitor the response of the patient to treatment. This can be used to establish the molecular basis for drug resistance and allow the targeting of the genes or pathways responsible for drug resistance. Personalized medicine requires the use of large data sets, which must be processed and analysed in order to identify the particular molecular patterns that can inform the decisions required for personalized care. However, the analysis of these large data sets is difficult and time consuming. This is further compounded by the increasing size of these datasets due to technologies such as next generation sequencing (NGS). These difficulties can be met through the use of artificial intelligence (AI) and machine learning (ML). These computational tools use specific neural networks, learning methods, decision making tools and algorithms to construct and improve on models for the analysis of different types of large data sets. These tools can also be used to answer specific questions. Artificial intelligence can also be used to predict the effects of genetic changes on protein structure and therefore function. This review will discuss the current state of the application of AI to omics data, specifically genomic data, and how this is applied to the development of personalized or precision medicine on the treatment of cancer.The South African Medical Research Council (SAMRC) and the National Research Foundation (NRF).https://www.elsevier.com/locate/imuhj2023Anatomical PathologyMaxillo-Facial and Oral SurgeryMedical OncologyOtorhinolaryngologyRadiologySurgeryUrolog