Monoterpenoid selenophenes derived from (-)-carvone with GPx-like activity.

Organoselenium compounds have been recognized as potential therapeutic agents against several diseases. Specifically, the incorporation of selenium into natural products has been reported to produce positive synergistic biological effects. We report herein the one-pot reaction of the natural monoterpenoid (-)-carvone with selenium bromide, which yields mentoselenophenone 1, together with minor amounts of phenols 2 and 3.

Efficacy and tolerance profile of risperidone use in people with autism spectrum disorder in a clinic in Santarém, Pará, Brazil. A retrospective study.

Objectives: This study aimed to obtain the profile of efficacy and tolerance of risperidone in the treatment of people with autism spectrum disorder.

Materials And Methods: This research was a cross-sectional and retrospective study. The medical records of 100 patients diagnosed with ASD according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) were analyzed and measures of central tendency and correlation between variables such as gender, age at diagnosis, symptoms, daily dose, comorbidities, polytherapy, adverse drug effects, and outcome (improvement, worsening, and drug discontinuation) were calculated using Pearson's R test with a level of statistical significance < 0.

Electrocoagulation treatment of furniture industry wastewater.

Electrocoagulation was investigated as a method for treating wastewater containing polyvinyl acetate (PVAc) from the furniture industry. The study evaluated the evolution of iron concentration and passivation during the treatment process. Laboratory-scale experiments were conducted to evaluate the effects of inter-electrode distance (d), current density, and mode on treatment performance.

Automatic Extraction of Medication Mentions from Tweets-Overview of the BioCreative VII Shared Task 3 Competition.

This study presents the outcomes of the shared task competition BioCreative VII (Task 3) focusing on the extraction of medication names from a Twitter user's publicly available tweets (the user's 'timeline'). In general, detecting health-related tweets is notoriously challenging for natural language processing tools. The main challenge, aside from the informality of the language used, is that people tweet about any and all topics, and most of their tweets are not related to health.

Modelling patient trajectories using multimodal information.

Background: Electronic Health Records (EHRs) aggregate diverse information at the patient level, holding a trajectory representative of the evolution of the patient health status throughout time. Although this information provides context and can be leveraged by physicians to monitor patient health and make more accurate prognoses/diagnoses, patient records can contain information from very long time spans, which combined with the rapid generation rate of medical data makes clinical decision making more complex. Patient trajectory modelling can assist by exploring existing information in a scalable manner, and can contribute in augmenting health care quality by fostering preventive medicine practices (e.

Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics.

The identification of chemicals in articles has attracted a large interest in the biomedical scientific community, given its importance in drug development research. Most of previous research have focused on PubMed abstracts, and further investigation using full-text documents is required because these contain additional valuable information that must be explored. The manual expert task of indexing Medical Subject Headings (MeSH) terms to these articles later helps researchers find the most relevant publications for their ongoing work.

A two-stage workflow to extract and harmonize drug mentions from clinical notes into observational databases.

Background: The content of the clinical notes that have been continuously collected along patients' health history has the potential to provide relevant information about treatments and diseases, and to increase the value of structured data available in Electronic Health Records (EHR) databases. EHR databases are currently being used in observational studies which lead to important findings in medical and biomedical sciences. However, the information present in clinical notes is not being used in those studies, since the computational analysis of this unstructured data is much complex in comparison to structured data.

A Recommender System to Help Refining Clinical Research Studies.

The process of refining the research question in a medical study depends greatly on the current background of the investigated subject. The information found in prior works can directly impact several stages of the study, namely the cohort definition stage. Besides previous published methods, researchers could also leverage on other materials, such as the output of cohort selection tools, to enrich and to accelerate their own work.

MYOC Gene Sequencing Analysis in Primary Open-Angle Glaucoma Patients from the Centre Region of Portugal.

Introduction: Primary open-angle glaucoma is the most frequent subtype of glaucoma. Relatives of primary open-angle glaucoma patients have an increased risk of developing the disease, suggesting a genetic predisposition to the disease. MYOC was the first primary open-angle glaucoma-causing gene identified.

Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach.

Background: Electronic health records store large amounts of patient clinical data. Despite efforts to structure patient data, clinical notes containing rich patient information remain stored as free text, greatly limiting its exploitation. This includes family history, which is highly relevant for applications such as diagnosis and prognosis.

Clinical Concept Normalization on Medical Records Using Word Embeddings and Heuristics.

Electronic health records contain valuable information on patients' clinical history in the form of free text. Manually analyzing millions of these documents is unfeasible and automatic natural language processing methods are essential for efficiently exploiting these data. Within this, normalization of clinical entities, where the aim is to link entity mentions to reference vocabularies, is of utmost importance to successfully extract knowledge from clinical narratives.

Faecal Virome Analysis of Wild Animals from Brazil.

The Brazilian Cerrado fauna shows very wide diversity and can be a potential viral reservoir. Therefore, the animal's susceptibility to some virus can serve as early warning signs of potential human virus diseases. Moreover, the wild animal virome of this biome is unknown.

SCREEN-DR: Collaborative platform for diabetic retinopathy.

Background And Objective: Diabetic retinopathy (DR) is the most prevalent microvascular complication of diabetes mellitus and can lead to irreversible visual loss. Screening programs, based on retinal imaging techniques, are fundamental to detect the disease since the initial stages are asymptomatic. Most of these examinations reflect negative cases and many have poor image quality, representing an important inefficiency factor.

Controlled searching in reversibly de-identified medical imaging archives.

Nowadays, digital medical imaging in healthcare has become a fundamental tool for medical diagnosis. This growth has been accompanied by the development of technologies and standards, such as the DICOM standard and PACS. This environment led to the creation of collaborative projects where there is a need to share medical data between different institutions for research and educational purposes.

An Intelligent Cloud Storage Gateway for Medical Imaging.

Historically, medical imaging repositories have been supported by indoor infrastructures. However, the amount of diagnostic imaging procedures has continuously increased over the last decades, imposing several challenges associated with the storage volume, data redundancy and availability. Cloud platforms are focused on delivering hardware and software services over the Internet, becoming an appealing solution for repository outsourcing.

Exposure to pesticides and prostate cancer: systematic review of the literature.

Introduction: Investigations about the association between prostate cancer and environmental and/or occupational pesticide exposure have evidenced a possible role of these chemical substances on tumor etiology, related to their action as endocrine disruptors.

Objective: To assess the association between pesticide exposure and prostate cancer by conducting a systematic review of the scientific literature.

Materials And Methods: Articles published until August 18, 2015 were searched in the databases MEDLINE/Pubmed, Scielo, and Lilacs using the keywords "pesticides" and "prostate cancer".

[Correlation between agricultural production, clinical and demographic variables and prostate cancer: an ecological study].

Risk factors involved in the etiology of prostate cancer are not well known. The objective of this study was to explore correlations among variables relating to agricultural production, the use of health services, food consumption and socio-demographic characteristics and prostate cancer mortality rates in Brazilian states. Univariate analysis of spatial data for investigation of global spatial autocorrelation in prostate cancer mortality rates in Brazilian states between 2005 and 2009 was conducted.

Psychometric properties of the Brazilian version of the Vulnerable Elders Survey-13 (VES-13).

This study aims to assess the psychometric properties of the Brazilian version of the Vulnerable Elders Survey-13 (VES-13). Interviews were carried out with individuals aged 60 years and over receiving care at an ambulatory cancer centre. Test-retest reliability was assessed using the Spearman correlation coefficient, intraclass correlation coefficients and Cohen's kappa coefficient.

Evaluation of the effects of periodontal treatment on levels of ascorbic acid in smokers.

Smokers consistently have lower levels of vitamin C, which is important for optimal healing, especially following invasive procedures. Some studies demonstrated that patients undergoing surgery experience significant reductions in systemic vitamin C levels, presumably due to higher metabolic utilization of existing vitamin pools. However, there appear to be no studies evaluating the effect of non-surgical periodontal therapy on plasma levels of vitamin C.

Tendencies of mortality by prostate cancer in the states of the Central-West Region of Brazil, 1980-2011.

This study aimed at analyzing the pattern of prostate cancer mortality in the Central-West Region, in the period 1980 - 2011. The quadrennial and annual mortality rates, age-standardized by the world population, were calculated. Polynomial regression models were estimated to analyze trends of mortality in Brazilian regions and in the states of the Central-West Region.

Outcomes of high-dose intensity-modulated radiotherapy alone with 1 cm planning target volume posterior margin for localized prostate cancer.

Background: Clinically localized prostate cancer may be treated by different approaches of radiation therapy. The aim of this study was to report the results of disease control and toxicity in patients with clinically localized prostate cancer treated with high dose IMRT alone with 1 cm PTV posterior margin.

Methods: From September 2001 to April 2008, 140 patients with localized prostate cancer were treated with definitive IMRT (dose ≥ 74 Gy) without hormone therapy.

[Prevalence and factors associated with conducting screening tests for prostate cancer in the elderly in Juiz de Fora in the state of Minas Gerais, Brazil].

Little is known about screening practices for prostate cancer in elderly Brazilians. The aim of this study was to estimate the prevalence of screening tests for prostate cancer in the elderly in Juiz de Fora in the state of Minas Gerais and to analyze the associated factors. This is a cross-sectional study with 2825 men aged 60 years or older who participated in the vaccination against influenza campaign in 2006.