Parc Taulí current affairs
Training aimed at clinicians interested in knowing how AI is applied in health and doing research with the data they have access to their jobs, clinical histories and other data they collect from the services where they work.
This part-time postgraduate course aims to provide not only up-to-date knowledge, but also training in rare situations, in which the appropriate actions of the care team will improve maternal and fetal results. The use of simulation as a learning tool will facilitate the acquisition of knowledge and skills in a safe environment.
Postgraduate Course 2021-2022 - Based on the importance of the continuum of care, and taking into account that optimal prehospital care for the severely traumatic patient compromises the success of the interventions of the later stages of the hospital, we want to assume the total care process for patients with severe trauma within the first 48 hours of health loss. This will be the axis on which the training of students during the course is based.
Training for the existence of a new generation of more technological physicians and able to assist in the design of cognitive assistants is one of the challenges of medicine today.
Based on the importance of the 'continuum' of care in reducing morbidity and mortality in patients with critical pathology, this will be the axis on which the training of students during this course is based.
The Translational Neuroscience Unit was created in 2018 as a collaboration platform between clinical and basic researchers from the Parc Taulí Research and Innovation Institute (I3PT) and the UAB Neuroscience Institute (INc-UAB ). It aims to deepen the knowledge of the neurobiological bases of neuropsychiatric and neurological disorders, and the identification of biomarkers applicable to the clinic.
The optimal pre-hospital care for the severely traumatized patient compromises the success of the interventions in the subsequent hospital phases.
The aim of THAIS is to provide extensive coverage of the field of Artificial Intelligence in Health from a perspective aimed at healthcare professionals involved in this area.
The so-called "P4 Medicine" (predictive, personalized, preventive and participatory), will be based on emerging technologies such as AI and the analysis of large amounts of data based on machine learning and computer vision.
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