Immunotherapy May Improve Tumor Sensitivity to Palliative Chemotherapy in Platinum Resistant Ovarian Cancer.

Ovarian cancer is the second most common gynecologic cancer in the US and ranks among the top 10 causes of female cancer-related deaths. Platinum-resistant disease carries a particularly poor prognosis and leaves patients with limited remaining therapeutic options. Patients with platinum-resistant disease have significantly lower response rates to additional chemotherapy, with estimates as low as 10%-25%.

Discrimination of foreign bodies in quinoa Willd.) grains using convolutional neural networks with a transfer learning approach.

The rising interest in quinoa ( Willd.) is due to its high protein content and gluten-free condition; nonetheless, the presence of foreign bodies in quinoa processing facilities is an issue that must be addressed. As a result, convolutional neural networks have been adopted, mostly because of their data extraction capabilities, which had not been utilized before for this purpose.

An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF.

This paper proposes an approach to fill in missing data from satellite images using data-intensive computing platforms. The proposed approach merges satellite imagery from diverse sources to reduce the impact of the holes in images that result from acquisition conditions: occlusion, the satellite trajectory, sunlight, among others. The amount of computation effort derived from the use of large high-resolution images is addressed by data-intensive computing techniques that assume an underlying cluster architecture.

Amazonian cacao-clone nibs discrimination using NIR spectroscopy coupled to naïve Bayes classifier and a new waveband selection approach.

Near-Infrared Spectroscopy (NIRS) has shown to be helpful in the study of rice, tea, cocoa, and other foods due to its versatility and reduced sample treatment. However, the high complexity of the data produced by NIR sensors makes necessary pre-treatments such as feature selection techniques that produce compact profiles. Supervised and unsupervised techniques have been tested, creating different subsets of features for classification, which affect the performance of the classifiers based on such compact profiles.

Evaluation of thrombophilia testing in the inpatient setting: A single institution retrospective review.

Background: Thrombophilia workup is typically inappropriate in the inpatient setting as testing may be skewed by anticoagulation, acute thrombosis, or acute illness.

Objective: To determine adherence of inpatient thrombophilia testing with institutional guidelines.

Patients And Methods: A retrospective study to evaluate thrombophilia testing practices of adult patients who were admitted to Lehigh Valley Hospital at Cedar Crest with either venous thromboembolism or ischemic stroke in 2019.