STDs

Acute Retroviral Syndrome Presenting as Acute Hepatitis.

Acute retroviral syndrome (ARS) can present as a wide array of clinical manifestations. Establishing a diagnosis early in the disease course can provide an opportunity to minimize immunosuppression and limit further transmission of human immunodeficiency virus (HIV). We present a case of a previously healthy young male who presented with acute hepatitis, as a manifestation of ARS. Initial HIV anti...

Automated detection of erythema migrans and other confounding skin lesions via deep learning.

Lyme disease can lead to neurological, cardiac, and rheumatologic complications when untreated. Timely recognition of the erythema migrans rash of acute Lyme disease by patients and clinicians is crucial to early diagnosis and treatment. Our objective in this study was to develop deep learning approaches using deep convolutional neural networks for detecting acute Lyme disease from erythema migran...

Chemometric-Assisted Spectrophotometric Method for the Simultaneous Determination of Ciprofloxacin and Doxycycline Hyclate in Pharmaceutical Formulations.

Two chemometrics methods-principal component regression and partial least squares-were developed for simultaneous spectrophotometric estimation of cip...

Selecting Test Cases from the Electronic Health Record for Software Testing of Knowledge-Based Clinical Decision Support Systems.

Software testing of knowledge-based clinical decision support systems is challenging, labor intensive, and expensive; yet, testing is necessary since ...

Economic benefit in repeat breeder cows using intrauterine infusion of penicillin and estrus synchronization followed by timed artificial insemination.

OBJECTIVE: Until recently, management of repeat breeding in cattle remains a major problem to dairy farmers. This study was carried out to improve the...

Discrimination of "hot potato voice" caused by upper airway obstruction utilizing a support vector machine.

OBJECTIVES/HYPOTHESIS: "Hot potato voice" (HPV) is a thick, muffled voice caused by pharyngeal or laryngeal diseases characterized by severe upper air...

Robotic hip joint testing: Development and experimental protocols.

The use of robotic systems combined with force sensing is emerging as the gold standard for in vitro biomechanical joint testing, due to the advantage...

On-Chip Isoniazid Exposure of Penicillin-Binding Protein (PBP) Mutant Using Time-Lapse Fluorescent Microscopy.

Antibiotic resistance has been one of the biggest threats to global health. Despite the available prevention and control strategies and efforts in dev...

Development of a deep residual learning algorithm to screen for glaucoma from fundus photography.

The Purpose of the study was to develop a deep residual learning algorithm to screen for glaucoma from fundus photography and measure its diagnostic p...

Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network.

Several computer aided diagnosis (CAD) systems have been developed for mammography. They are widely used in certain countries such as the U.S. where m...

Skin Disease Recognition Method Based on Image Color and Texture Features.

Skin diseases have a serious impact on people's life and health. Current research proposes an efficient approach to identify singular type of skin dis...

A New Approach on HCI Extracting Conscious Jaw Movements Based on EEG Signals Using Machine Learnings.

Machine computer interfaces (MCI) are assistive technologies enabling paralyzed peoples to control and communicate their environments. This study aims...

Using natural language processing for identification of herpes zoster ophthalmicus cases to support population-based study.

IMPORTANCE: Diagnosis codes are inadequate for accurately identifying herpes zoster (HZ) ophthalmicus (HZO). There is significant lack of population-b...

Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study.

Identification of risk factors of treatment resistance may be useful to guide treatment selection, avoid inefficient trial-and-error, and improve majo...

A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets.

BACKGROUND: Testing predefined gene categories has become a common practice for scientists analyzing high throughput transcriptome data. A systematic ...

Design and validation of an ontology-driven animal-free testing strategy for developmental neurotoxicity testing.

Developmental neurotoxicity entails one of the most complex areas in toxicology. Animal studies provide only limited information as to human relevance...

Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies.

Radiological longitudinal follow-up of tumors in CT scans is essential for disease assessment and liver tumor therapy. Currently, most tumor size meas...

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.

Accurate and automatic organ segmentation from 3D radiological scans is an important yet challenging problem for medical image analysis. Specifically,...

Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks.

This paper addresses the problem of quantifying biomarkers in multi-stained tissues based on the color and spatial information of microscopy images of...

Transcriptional Modulation of Penicillin-Binding Protein 1b, Outer Membrane Protein P2 and Efflux Pump (AcrAB-TolC) during Heat Stress Is Correlated to Enhanced Bactericidal Action of Imipenem on Non-typeable .

The purpose of the present study was to investigate the penicillin binding proteins (PBPs), drug influx and efflux modulations during heat stress and...