Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi.

Machine learning models are increasingly used in the medical domain to study the association between risk factors and diseases to support practitioners in understanding health outcomes. In this paper, we showcase the use of machine-learned staged tree models for investigating complex asymmetric dependence structures in health data. Staged trees are a specific class of generative, probabilistic graphical models that formally model asymmetric conditional independence and non-regular sample spaces.

Orally-transmitted Chagas disease.

Chagas disease is a zoonosis caused by protozoan parasite Trypanosoma cruzi, which is most frequently associated with a vectorial transmission. However, in recent years we have observed a significant increase in the oral transmission of the disease, associated mainly with the consumption of drinks made from fruit or other vegetables contaminated with triatomine faeces or secretions from infected mammals. After a latency period of 3 to 22 days after ingestion, the oral infection is characterized by more severe manifestations than those associated with vectorial transmission: prolonged fever, acute myocarditis with heart failure and, in some cases, meningoencephalitis.

Systemic AA amyloidosis: epidemiology, diagnosis, and management.

The term "amyloidosis" encompasses the heterogeneous group of diseases caused by the extracellular deposition of autologous fibrillar proteins. The global incidence of amyloidosis is estimated at five to nine cases per million patient-years. While amyloid light-chain (AL) amyloidosis is more frequent in developed countries, amyloid A (AA) amyloidosis is more common in some European regions and in developing countries.