• Exploration of articular cartilage biomechanical response during gait of patient with knee osteoarthritis using finite element models

  Giménez Lozano, Marina (2022)

  Knee osteoarthritis (OA) is one of the most prevalent forms of arthritis and one of the leading causes of disability. The pathological traits consist of articular cartilage degradation and bone thickening, among other ...
• Cancer differentiation therapy dynamics in a hybrid model of avascular tumor growth

  Borràs Sánchez, Marc (2022)

  Cancer is not one disease but many, making it very difficult to successfully develop treatments that effectively end it. Yet, a very promising approach still underde- veloped is differentiation therapy (DTH). As it has ...
• Osteoporosis pharmacological treatment evaluation through femoral biomechanical response using DXA-based 3D Finite Element Modelling

  Pérez Tomàs, Marina M. (2022)

  Osteoporotic hip fractures are one of the most severe an individual can suffer due to their high mortality rate. There are pharmacological treatments such as Alen-dronate (AL), Denosumab (DMAB), and Teriparatide (PTH) that ...
• Towards the use of meshless methods to simulate brain growth in early development

  Carandell Verdaguer, Francesc (2022)

  The process by which the brain develops from a smooth surface at early weeks of gestation to a folded surface with sulci and gyri at the neonatal stage is still an unsolved question. Despite the hypotheses proposed by ...
• Identification and localization of septal flash by the means of time distributed networks and class activation maps

  Capallera Guirado, Isaac (2022)

  Cardiac resynchronization therapy (CRT) has been a significant step forward in the treatment of patients with arrhythmias leading to heart failure. However, it still presents two main issues. Firstly, the criteria to be ...
• VProject: creating an AI and simulation system for the study of complex diseases and applying it to lung cancer

  Romero Hernández, Joel (2022)

  Complex diseases like cancer are one of the most serious sources of suffering and death. Their multifactorial nature and multiscale effects compromise the patient’s health and life, so there is a need for new tools for ...
• Dynamical analysis of gait motion in osteoarthritic women patients

  Torras Piedehierro, Judith (2022)

  Over 300 million people around the world, mainly women, suffer from Osteoarthritis (OA), a multifactorial disease affecting joints. It occurs most frequently in hands, hips, and knees. The most common solution is having ...
• Development of skeletal muscle contraction computer physiology practices for human biology, medicine and biomedical engineering

  Karenik, Karina (2022)

  Inside Pompeu Fabra University students of Biomedical Engineering, Medicine and Human Biology bachelor degrees must perform several physiology practices by using a software. In more detail, the software in question is ...
• Mechano-regulation study in scaffolds for tissue engineering using fluid-structure interaction models

  Moliner Carrillo, Laia (2022)

  The body cannot heal bone fractures surpassing 2 cm, so nowadays, graft surgery is the only available treatment. Nonetheless, this entails serious risks such as immune rejection, second medical interventions, and ...
• Analysis of the exploration-exploitation trade-off in the Koa Foundations app usage

  Sánchez Ruiz, Laura (2022)

  Decision-making is a fundamental human behavior. In our day-to-day lives, we are constantly coming across the problem of choosing among multiple options, which we aim to solve by maximizing the outcomes. To achieve this, ...
• Determination of biomechanical parameters from dual X-ray absorptiometry measurements

  Ruiz Milla, Liliana Stephania (2022)

  Osteoporotic hip fractures represent a high risk for people over 60 years of age, with a reduction in life expectancy of 20% and a reduction in functional capacity of 50%. Currently, dual X-ray absorptiometry (DXA) is ...
• Super-resolution of magnetic resonance fetal images using sequential generative adversarial networks

  Obelleiro Liz, Manuel (2022)

  Magnetic Resonance imaging is a really important imaging technique distinguished by the lack of ionizing radiation, great soft-tissue contrast and remarkable resolution. The main drawback of performing a Magnetic Resonance ...
• Deep learning techniques for optic nerve evaluation on multiple sclerosis patients using MRI

  Frías Nestares, Marcos (2022)

  Optic neuritis is a condition in which the optic nerve is lesioned, provoking visual loss, and it is one of the first manifestations of multiple sclerosis. A correct evaluation of the nerve could help in the diagnosis ...
• In-silico study of the device-related thrombosis after transcatheter aortic valve implantation

  Font Murillo, Mònica (2022)

  Transcatheter aortic valve implantation (TAVI) is a minimally invasive heart procedure that has emerged as a safe and effective treatment for patients with symptomatic aortic stenosis. However, there remain important ...
• Study of the purchasing procedures for medical technologies in Spanish hospitals: particularization for a postpartum hemorrhage detector

  Genova Blanch, Olivia (2022)

  The World Health Organization defines a medical device as any instrument, machine, implant, software, or material intended to be used for a medical purpose. Medical devices can treat, prevent, detect and diagnose diseases. ...
• Beyond exponential fitting: a deep learning approach for accurate and robust T1 estimation from cardiac magnetic resonance MOLLI sequences

  Altur Pastor, Pau (2022)

  T1 parametric maps of the myocardium are a recent development in cardiac Magnetic Resonance Imaging (MRI). They can be used to characterize the composition of the heart and identify alterations that can be indicative of ...
• Electrophysiological model of the left ventricle: prediction of reentry circuits with fast simulations based on cellular automata applying clinical stimulation protocols

  Franco Ocaña, Paula (2022)

  Myocardial infarction (MI) is a common cardiovascular disease that causes irre- versible damage to the left ventricle (LV) myocardium, resulting in the formation of scar tissue. When this phenomenon occurs, reentry ...
• Multiscale simulation of intervertebral disc multiphysics adaptations and protein turnover in astronauts

  Garcia Hernandez, Paula (2022)

  During spaceflight, many astronauts experience moderate to severe lumbar pain, which might originate from intervertebral disc (IVD) swelling triggered by the lack of compressive loads in microgravity. IVD swelling alters ...
• New insights into the neurovascular coupling with magnetic resonance imaging biomarkers: a study in patients with migraine

  González López, Raquel (2022)

  Background and purpose: Migraine is a recurrent and incapacitating disorder, characterized by attacks of severe headache. Neurovascular coupling abnormalities have been described for migraine. Despite its prevalence, ...
• Use of text mining techniques for the selection of cohorts in a clinical trial: classifying compliance with the selection criteria for a clinical trial by analyzing patient medical records

  Cambray Alvarez, Ricard (2022)

  Introduction Nowadays, most of the data with which clinicians work are un- structured such as texts. In this large volume of unstructured data lies the need to create analytical procedures in order to maximize the value ...

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