Inteligencia artificial en enfermedades infecciosas / Artificial intelligence in infectious diseases

Estamos asistiendo a una verdadera revolución tecnológi-ca en el campo de la salud. Los procesos basados en la aplicación de la inteligencia artificial (IA) y el aprendizaje automático (AA) están llegando progresivamente a todas las áreas disciplinares, y su aplicación en el campo de las enfermedades infecciosas es ya vertiginoso, acelerado por la pandemia de COVID-19.Hoy disponemos de herramientas que no solamente pue-den asistir o llevar adelante el proceso de toma de deci-siones basadas en guías o algoritmos, sino que también pueden modificar su desempeño a partir de los procesos previamente realizados. Desde la optimización en la identificación de microorganis-mos resistentes, la selección de candidatos a participar en ensayos clínicos, la búsqueda de nuevos agentes terapéu-ticos antimicrobianos, el desarrollo de nuevas vacunas, la predicción de futuras epidemias y pandemias, y el segui-miento clínico de pacientes con enfermedades infecciosas hasta la asignación de recursos en el curso de manejo de un brote son actividades que hoy ya pueden valerse de la inteligencia artificial para obtener un mejor resultado. El desarrollo de la IA tiene un potencial de aplicación expo-nencial y sin dudas será uno de los determinantes principa-les que moldearán la actividad médica del futuro cercano.Sin embargo, la maduración de esta tecnología, necesaria para su inserción definitiva en las actividades cotidianas del cuidado de la salud, requiere la definición de paráme-tros de referencia, sistemas de validación y lineamientos regulatorios que todavía no existen o son aún solo inci-pientes

We are in the midst of a true technological revolution in healthcare. Processes based upon artificial intelligence and machine learning are progressively touching all disciplinary areas, and its implementation in the field of infectious diseases is astonishing, accelerated by the COVID-19 pandemic. Today we have tools that can not only assist or carry on decision-making processes based upon guidelines or algorithms, but also modify its performance from the previously completed tasks. From optimization of the identification of resistant pathogens, selection of candidates for participating in clinical trials, the search of new antimicrobial therapeutic agents, the development of new vaccines, the prediction of future epidemics and pandemics, the clinical follow up of patients suffering infectious diseases up to the resource allocation in the management of an outbreak, are all current activities that can apply artificial intelligence in order to improve their final outcomes.This development has an exponential possibility of application, and is undoubtedly one of the main determinants that will shape medical activity in the future.Notwithstanding the maturation of this technology that is required for its definitive insertion in day-to-day healthcare activities, should be accompanied by definition of reference parameters, validation systems and regulatory guidelines that do not exist yet or are still in its initial stages

Family Intervention in Severe Mental Disorder: An Online Intervention Format in Psychosocial Rehabilitation Centers.

The use of new technologies and online interventions with family members of people affected by severe mental disorders (SMD) seems to emerge as a promising complementary strategy to face-to-face care. The article presents a new online intervention format, aimed at relatives of people with SMD. A qualitative methodology sequenced in seven phases has been used. (1) The incorporation of relatives into the programme has allowed the intervention format to be adapted to the needs and opinions of the relatives themselves. (2) All the relatives were completely satisfied with the new online intervention format, and with how useful it had been for them. (1) The attention and support to family members of people with SMD through the Internet is a complementary intervention strategy to face-to-face care. (2) The online format of attention to family members can be incorporated into the usual practice of care services. Supplementary Information: The online version contains supplementary material available at 10.1007/s40737-022-00310-7.

Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia.

A new species of simuliid from the Andean Mountains of Colombia is described on the basis of females, males, pupae, larvae, polytene chromosomes, and COI and ITS2 DNA sequences. Simulium (Trichodagmia) chimguazaense new species is structurally, chromosomally, and molecularly distinct from its nearest relatives, S. muiscorum Bueno, Moncada & Muñoz de Hoyos and S. sumapazense Coscarón & Py-Daniel.