Sessão de divulgação do projeto RESISTIR

Oportunidades e desafios na gestão de precisão e prevenção inteligente das doenças infecciosas - O case study do Projeto RESISTIR

Sala 6.2.56, FCUL, Lisboa
Logótipo associado à frase "CASE STUDY RESISTIR", sobre um fundo branco

A emergência de "hospitais inteligentes" proporciona a oportunidade para a implementação na área das doenças infecciosas dos novos sistemas de medicina preditiva, personalizada, preventiva e participativa (P4 Medicine).

A integração e agregação da informação disponível nos HIS (sistemas de informação hospitalar) permite a produção de novo conhecimento em tempo quase real, o qual poderá apoiar os processos de tomada de decisão orientados ao doente e ao episódio com o objetivo de aumentar a precisão clínica e epidemiológica.

Neste encontro serão apresentados os resultados do projeto RESISTIR - Sistema de Informação para controlo de infeção inteligente e antibioterapia personalizada, como ponto de partida para uma discussão alargada das oportunidades e desafios atuais à implementação deste paradigma emergente.

Mais informações disponíveis aqui.

Entrada livre, mediante inscrição prévia.

14h00-17h45
Ciências ULisboa / Maxdata, S.A.

Objectives: Lack of fertile land to feed the exponentially growing population, insufficient water availability and quality, changes in the flow of nutrients through the bio-geo-cycles (especially N and P) and climate and land use changes are impacting ecosystem

Objectives: Symbiosis is a key strategy for life on Earth.

Objectives: The goal of this course is to provide to the participants with current and practical knowledge on urban ecology, including ecological and social aspects. It aims at providing an integrated approach on urban socio-ecological systems.

Objectives: Citizen science can be part of the larger process of engaging people in new forms of interaction in scientific research, challenging scientists and citizens whilst enlarging scientific knowledge and providing learning opportunities for all part

Objectives: This course aims at: 1) exploring how scientists can use social media as tools to enhance the communication of their research and the dialogue with society, and 2) discussing the differences that exist in the work of scientists and journalists

Objectives: This course will teach how to apply the SWAT eco-hydrological model to assess the impacts of climate and associated changes on water-soil-plant interactions, and consequences to water resources, soil erosion and nutrient cycles.

Objectives: Provide students with basic knowledge of R programming, allowing them to manipulate and visualize data with R.

Objectives: Provide students with statistical knowledge and tools to manipulate, analyze and visualize biological data with R. Introduction to modeling, simulations and Bayesian statistics.

Objectives: This is a mostly practical course offering an overview on different community ecology and macroecological methods and software.

Objectives: This course introduces the field of island biogeography, a discipline that has long influenced other research areas such as macroecology, community ecology, evolution and conservation biology.

Objectives: This course offers an overview of the different ways to measure biodiversity, and provides tips for the stratification of primary biodiversity data and the construction of variables that describe its various facets.

Objectives: The course aims at enabling the participants to use different methods to measure the impacts of pollutants on ecosystems.

Objectives: Acquire knowledge regarding bioinformatic tools available to predict nucleic acid (RNA, DNA or Nucleic Acids Mimics) and protein three-dimensional structure, as well as autonomy and critical thinking in the use of those tools.

New date: 30 August - 03 September 2021.

This conference is the 22nd in the series of triennial conferences which bring together the Particle and Nuclear Physics communities.

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