Jurgen is Professor from the University of Leeds (UoL), UK. His area of expertise covers medical and biomedical image analysis and processing.
Magnetic Resonance Imaging (MRI) and Spectroscopy (MRS) are sophisticated phenotyping techniques that allow for a non-invasive characterization of cardiac function, anatomy, structure and metabolism in patients and in small animals models of heart disease. This talk will discuss the current state-of-the art of (pre-)clinical cardiac MR, and describe novel approaches to advance this technique to the next level.
Zeike is Professor from the University of Leeds (UoL), UK. His area of expertise covers medical simulation, computer-assisted interventions, medical image computing, surgical simulation and computational biomechanics.
Our research focuses on development of methodologies and systems for improving the effectiveness of medical treatments and devices. In this context, we create computational tools for simulating treatments, from the behaviour of devices during and following an intervention, to the immediate and long-term mechanical and physiological response of organs and tissues. These models both support and are supported by sophisticated computational imaging and statistical tools, which enable the physics encapsulated in the models to be linked with observations from individuals and populations – that is, we develop both image-based modelling and model-based imaging technologies. In this talk, I will describe: past applications of our developments in interactive surgical simulators and interventional guidance systems, which are underpinned by real-time computation of complex soft tissue motions; emerging areas of development such as in silico clinical trials, which enable evaluation of devices on very large cohorts of virtual patients, and new modelling paradigms that exploit both traditional mechanistic and modern data-driven approaches; and the institutional context for this work in Leeds’ School of Mechanical Engineering and the Institute of Medical & Biological Engineering.
Claudio is member of Comisión Nacional de Energía Atómica (CNEA), Argentina. His area of expertise covers robotics and digital systems.
The positron emission tomography (PET) is a technique that is used to analyze cellular metabolism by non-invasive methods. In this way, it has advantages for the diagnosis and monitoring of diseases such as cancer, cardiac and neuropsychiatric problems, among others. The ARPET is a modular equipment, is easy to install and it works with 12 volts. It has a mechanical design that allows it to rotate 360 degrees helically, which avoids dead zones and improves uniformity and spatial resolution of results; the transmission of information is wireless. Its digital electronics have distributed processing capacity; this makes it possible to apply advanced algorithms without introducing dead times in the system The main goal of the project was contributing to spread out the technique in public hospitals. During the project, agreements were made between CNEA and the National Technological University and with the International Atomic Energy Agency (IAEA) that contributed to the training of human resources and the implementation of new technologies. The equipment was installed in the Hospital de Clínicas José de San Martín, where calibration and characterization tasks are carried out prior to their approval for use in patients.
Ricardo is Professor from the Instituto Tecnológico de Buenos Aires (ITBA) and also Researcher at CONICET, Argentina. His area of expertise covers robust identification and control, LPV systems and optogenetics.
The Artificial Pancreas is essentially an Automatic Control problem, and hence some basics concepts of control systems will be introduced. The presentation will focus on the development of this project in Argentina that concluded with the first clinical trials in Latin America in 2016 and 2017 in 5 patients with Diabetes Mellitus type 1. In 2017, this led to the successful test of a locally developed algorithm, the ARG (Automatic Regulation of Glucose). This project, initiated as a theoretical problem, has grown as a practical solution that involves local (ITBA, UNLP, UNQ) and international universities (Univ. of Virginia, UCSB-Harvard) and health centers (Hosp. Italiano and Garrahan).
Alex is Professor from the University of Leeds (UoL), UK. His area of expertise covers computational medicine with emphasis on computational medical imaging, image-based biomechanics, machine learning, deep learning and big health data analytics.
Current technological progress in multidimensional and multimodal acquisition of biomedical data enables detailed investigation of the individual health status that should underpin improved patient diagnosis and treatment outcome. However, the abundance of biomedical information has not always been translated directly in improved healthcare. It rather increases the current information deluge and desperately calls for more holistic ways to analyse and assimilate patient data effectively. The Virtual Physiological Human aims at developing the framework and tools that ultimately enable such integrated investigation of the human body and rendering methods for personalized and predictive medicine. This lecture will focus on and illustrate two specific aspects: a) how the integration of biomedical imaging and sensing, signal and image computing and computational physiology are essential components in addressing this personalized, predictive and integrative healthcare challenge, and b) how such principles could be put at work to address specific clinical questions in the cardiovascular domain. Finally, this lecture will also underline the important role of model validation as a key to translational success and how such validations span from technical validation of specific modeling components to clinical assessment of the effectiveness of the proposed tools. To conclude, the talk will outline some areas where current research efforts fall short in the VPH domain and that will possibly receive further investigation in the upcoming years.
The workshop is directed to all people interested in the interdisciplinary between medicine, physics, computer science, and engineering; including students, teachers, academics, researchers, entrepreuners, government authorities and businessmen.
December 03, 2018.
Aula Magna, Facultad de Ciencias Médicas, UNLP. 60 y 120 s/n, La Plata (1900), Bs As, Argentina.
Free event but registration is required. Click here to access registration form.
Laura Damonte (IFLP, UNLP-CONICET).
Martín Rabassa (CINIBA, UNLP-CIC).
Carlos M. Muravchik (LEICI, UNLP-CONICET-CIC).
Enzo Rucci (III-LIDI, UNLP-CIC).