Neurodegeneration in tauopathies and synucleinopathies.

While increasing life expectancy is a major achievement, the global aging of societies raises a number of medical issues, such as the development of age-related disorders, including neurodegenerative diseases. The three main disease groups constituting the majority of neurodegenerative diseases are tauopathies, alpha-synucleinopathies and diseases due to repetitions of glutamine (including Huntington's disease). In each neurodegenerative disease, the accumulation of one or more aggregated proteins has been identified as the molecular signature of the disease (as seen, for example, in Alzheimer's disease, Parkinson's disease, dementia with Lewy bodies, amyotrophic lateral sclerosis and frontotemporal dementia). The etiology of neurodegenerative diseases is often multifactorial, and the known risk factors include, in addition to genetic polymorphisms and age, some other possible causes, such as certain immune and metabolic conditions, endocrine pathologies, gender, socioeconomic or professional status, oxidative stress or inflammation, vitamin deficiencies and environmental factors (chemical exposure, metals). However, innovative strategies to elaborate suitable diagnostic and therapeutic approaches (aiming to at least delay or possibly even reverse disease progression) require further knowledge of the genetic and adaptive immunological characteristics of neurodegenerative diseases.

Telemedicine framework using case-based reasoning with evidences.

Telemedicine is the medical practice of information exchanged from one location to another through electronic communications to improve the delivery of health care services. This research article describes a telemedicine framework with knowledge engineering using taxonomic reasoning of ontology modeling and semantic similarity. In addition to being a precious support in the procedure of medical decision-making, this framework can be used to strengthen significant collaborations and traceability that are important for the development of official deployment of telemedicine applications. Adequate mechanisms for information management with traceability of the reasoning process are also essential in the fields of epidemiology and public health. In this paper we enrich the case-based reasoning process by taking into account former evidence-based knowledge. We use the regular four steps approach and implement an additional (iii) step: (i) establish diagnosis, (ii) retrieve treatment, (iii) apply evidence, (iv) adaptation, (v) retain. Each step is performed using tools from knowledge engineering and information processing (natural language processing, ontology, indexation, algorithm, etc.). The case representation is done by the taxonomy component of a medical ontology model. The proposed approach is illustrated with an example from the oncology domain. Medical ontology allows a good and efficient modeling of the patient and his treatment. We are pointing up the role of evidences and specialist's opinions in effectiveness and safety of care.