A Deep Learning Model Based on Capsule Networks for COVID Diagnostics through X-ray Images.

X-ray diagnostics are widely used to detect various diseases, such as bone fracture, pneumonia, or intracranial hemorrhage. This method is simple and accessible in most hospitals, but requires an expert who is sometimes unavailable. Today, some diagnoses are made with the help of deep learning algorithms based on Convolutional Neural Networks (CNN), but these algorithms show limitations.

Combined Neonatal Alloimmune Neutropenia and Thrombocytopenia in Dizygotic Twins Conceived After Oocyte Donation.

Neonatal alloimmune thrombocytopenia (NAIT) and neonatal alloimmune neutropenia (NAIN) may have severe consequences in the neonatal period. We report two dizygotic twins conceived after donated oocytes, suffering NAIT and NAIN in the context of alloantibodies to human platelet antigens (anti-HPA-5b) and human leukocyte antigens (anti-HLA class I). Genotyping demonstrated paternal homozygosity for HPA-5a, while the neonates were heterozygous for HPA-5b.

Effects of Starting a Gastroenterology Fellowship Training Program on Quality Measures of Colonoscopy.

Objectives: Adenoma detection rate (ADR) is the most established indicator of the quality of screening colonoscopy. The effect of gastroenterology (GI) fellows on the quality of screening colonoscopies has been evaluated previously; however, the effect of starting a new GI fellowship program on the quality of screening colonoscopies has not been studied. The aim of our study was to assess the effects of starting a GI fellowship program and the participation of fellows in screening colonoscopies on ADR and other measures of quality.

Comparative Outcome of Computed Tomography-guided Percutaneous Radiofrequency Ablation, Partial Nephrectomy or Radical Nephrectomy in the Treatment of Stage T1 Renal Cell Carcinoma.

Renal cell carcinoma (RCC) accounts for 3% of all cancers in adults. The indications for Radiofrequency Ablation (RFA) for renal carcinomas include T1a (tumor 4 cm or less, limited to the kidney), elderly patients, renal impairment, comorbidities, poor surgical candidate, and multiple bilateral renal masses. We retrospectively reviewed medical records, specifically investigating the indications, complications and outcomes of RFA and nephrectomy for treatment of RCC in a tertiary medical center with a predominantly Hispanic patient population.

Reactions to institutional violence: patient strategies for facing infringements of the right to health in Brazil.

In this article we identify evidences of inequalities, prejudices and discrimination in the access and utilization of public health services belonging to the Brazilian Unified Health Care System, considering them to be institutional violence and a negation of rights, in order to look at the reactions of the subjects victimized by this process. This research study utilized different methodologies, articulating participant observation, semi-structured interviews, focus groups and dramatization. The results highlight the trajectory in seeking health care as the main expression of inequalities, strengthened by structural factors such as the precarious condition of health care services, which potentiate power asymmetries, and the presence of discrimination derived from stigmas and prejudices.

Characterization and biofiltration of a real odorous emission from wastewater treatment plant sludge.

Biofilters have been widely employed for the treatment of malodorous emissions from sludge handling activities in wastewater treatment plants (WWTPs), although their optimized design has been usually hindered by the lack of information about the dynamics of odorant formation. Besides, the odour abatement efficiency of biofilters has been rarely assessed on an individual odorant elimination basis. In this context, the characterization of odours from WWTP sludge in this study revealed the occurrence of a wide range of chemicals, including reduced sulphur compounds and volatile organic compounds (VOCs), with a dynamic concentration profile.