3 documents found, page 1 of 1
Digital health solution for monitoring and surveillance of Amyotrophic Lateral ...
Barbalho, Ingridy M. P.; Fonseca, Aleika L. A.; Fernandes, Felipe; Henriques, Jorge; Gil, Paulo; Nagem, Danilo; Lindquist, Raquel; Lima, Thaísa S.Amyotrophic Lateral Sclerosis (ALS) is a complex and rare neurodegenerative disease given its heterogeneity. Despite being known for many years, few countries have accurate information about the characteristics of people diagnosed with ALS, such as data regarding diagnosis and clinical features of the disease. In Brazil, the lack of information about ALS limits data for the research progress and public policy d...
Computational methods applied to syphilis: where are we, and where are we going?
Albuquerque, Gabriela; Fernandes, Felipe; Barbalho, Ingridy M. P.; Barros, Daniele M. S.; Morais, Philippi S. G.; Morais, Antônio H. F.Syphilis is an infectious disease that can be diagnosed and treated cheaply. Despite being a curable condition, the syphilis rate is increasing worldwide. In this sense, computational methods can analyze data and assist managers in formulating new public policies for preventing and controlling sexually transmitted infections (STIs). Computational techniques can integrate knowledge from experiences and, through ...
Osteoporosis screening using machine learning and electromagnetic waves
Albuquerque, Gabriela A.; Carvalho, Dionísio D. A.; Cruz, Agnaldo S.; Santos, João P. Q.; Machado, Guilherme M.; Gendriz, Ignácio S.Osteoporosis is a disease characterized by impairment of bone microarchitecture that causes high socioeconomic impacts in the world because of fractures and hospitalizations. Although dual-energy X-ray absorptiometry (DXA) is the gold standard for diagnosing the disease, access to DXA in developing countries is still limited due to its high cost, being present only in specialized hospitals. In this paper, we an...