Sistema de avaliação e tratamento da coluna lombar com o uso de tração mecânica

Pós-graduação em Engenharia Mecânica - FEG

Intrauterine exposure to diesel exhaust diminishes adult ovarian reserve

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Validação de um instrumento de triagem para identificação de filhos de alcoolistas, aplicável por pessoal não especializado

Pós-graduação em Saúde Coletiva - FMB

Saúde e qualidade de vida de adolescentes de um assentamento rural no Pontal do Paranapanema-SP

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise quimico-farmacêutica de Darunavir etanolato em comprimidos e de seu complexo de inclusão

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Indicadores antropométricos do estado nutricional de pré-escolares em Araraquara, SP

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Gestão da atividade física no SUS: o processo de inserção do Programa de Exercícios Físicos em Unidades de Saúde no município de Rio Claro-SP : um estudo de caso

Pós-graduação em Ciências da Motricidade - IBRC

Qualidade de vida e satisfação das gestantes portadoras de diabete em uso de insulina em hospital universitário do interior de São Paulo

Pós-graduação em Ginecologia, Obstetrícia e Mastologia - FMB

Eficácia e segurança da ceratoplastia endotelial no tratamento da ceratopatia bolhosa pseudofácia e afácia: revisão sistemática e metanálise

Pós-graduação em Bases Gerais da Cirurgia - FMB

Changes in gene expression in PBMCs profiles of PPAR alpha target genes in obese and non-obese individuals during fasting

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Classification of histological images based on the stationary wavelet transform

Non-Hodgkin lymphomas are of many distinct types, and different classification systems make it difficult to diagnose them correctly. Many of these systems classify lymphomas only based on what they look like under a microscope. In 2008 the World Health Organisation (WHO) introduced the most recent system, which also considers the chromosome features of the lymphoma cells and the presence of certain proteins on their surface. The WHO system is the one that we apply in this work. Herewith we present an automatic method to classify histological images of three types of non-Hodgkin lymphoma. Our method is based on the Stationary Wavelet Transform (SWT), and it consists of three steps: 1) extracting sub-bands from the histological image through SWT, 2) applying Analysis of Variance (ANOVA) to clean noise and select the most relevant information, 3) classifying it by the Support Vector Machine (SVM) algorithm. The kernel types Linear, RBF and Polynomial were evaluated with our method applied to 210 images of lymphoma from the National Institute on Aging. We concluded that the following combination led to the most relevant results: detail sub-band, ANOVA and SVM with Linear and RBF kernels.

Uranium isotopes in groundwater occurring at Amazonas State, Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Ra-226 and Ra-228 in mineral waters of southeast Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Structural and functional evidence for membrane docking and disruption sites on phospholipase A2-like proteins revealed by complexation with the inhibitor suramin

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Current advances in antitubercular drug discovery: potent prototypes and new targets

Tuberculosis (TB) is an infectious disease caused by bacterium of the Mycobacterium genus, mainly by Mycobacterium tuberculosis (MTB). The World Health Organization aims to substantially reduce the number of cases in the coming years; however, the increased number of multidrug-resistant (MDR) and extremely drug-resistant (XDR) forms of the bacterium and the lack of treatment for latent tuberculosis are challenges to be overcome. In this review, we have identified the most potent compounds described in the literature during recent years with MIC values < 7 µM, low toxicity and a high selective index. In addition, emerging targets in MTB are presented to provide new perspectives for the discovery of new antitubercular drugs. This review aims to summarize the current advances in and promote insights into antitubercular drug discovery.