Brain simulation augments machine-learning-based classification of dementia.

Introduction: Computational brain network modeling using The Virtual Brain (TVB) simulation platform acts synergistically with machine learning (ML) and multi-modal neuroimaging to reveal mechanisms and improve diagnostics in Alzheimer's disease (AD).

Methods: We enhance large-scale whole-brain simulation in TVB with a cause-and-effect model linking local amyloid beta (Aβ) positron emission tomography (PET) with altered excitability. We use PET and magnetic resonance imaging (MRI) data from 33 participants of the Alzheimer's Disease Neuroimaging Initiative (ADNI3) combined with frequency compositions of TVB-simulated local field potentials (LFP) for ML classification.

Linking Molecular Pathways and Large-Scale Computational Modeling to Assess Candidate Disease Mechanisms and Pharmacodynamics in Alzheimer's Disease.

While the prevalence of neurodegenerative diseases associated with dementia such as Alzheimer's disease (AD) increases, our knowledge on the underlying mechanisms, outcome predictors, or therapeutic targets is limited. In this work, we demonstrate how computational multi-scale brain modeling links phenomena of different scales and therefore identifies potential disease mechanisms leading the way to improved diagnostics and treatment. The Virtual Brain (TVB; thevirtualbrain.

[Evaluation of patient satisfaction with the quality of health care received within the EORTC IN-PATSAT32 trial by patients with breast and colorectal cancer, and non-Hodgkin lymphoma at different stages. Correlation with sociodemographic characteristics, comorbidities and other procedural variables at the Mexican Institute of Social Security].

Introduction: In Mexico cancer is a public health burden. Nowadays the health care systems pay special attention to patient's perception and satisfaction of the health care received. Satisfaction with quality of health care has an impact in the adherence to the treatment.

[Quality of life in Mexican women with breast cancer at different stages and its association with sociodemographic characteristics, comorbidities and procedural factors at the Mexican Institute of Social Security].

Introduction: Quality of life is the most studied PRO (patient reported outcome) in cancer patients. With early diagnosis and better treatments in breast cancer, this entity has been transformed in a chronic disease with longer survival. The joint effects of diseases and treatment on quality of life are each day more important to consider in survival patients.

[Evaluation of health-related quality of life in patients with non-Hodgkin lymphoma and colorectal cancer at different stages, attending the Mexican Institute of Social Security].

Introduction: In Mexico during 2008, were reported 127,604 new cancer cases, 6,347 of them were colorectal cancer cases and 4,276 non-Hodgkin lymphoma (NHL) cases.

Objective: To evaluate health related quality of life in non-Hodgkin lymphoma and colorectal cancer cases in different clinical stages, attended in a High Specialty Medical facility at the Instituto Mexicano del Seguro Social, during a 13 month period.

Results: 162 patients were included, 56.