Infectious Disease

STDs

Latest AI and machine learning research in stds for healthcare professionals.

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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, a...

Phenotypic Antimicrobial Susceptibility Testing with Deep Learning Video Microscopy.

Timely determination of antimicrobial susceptibility for a bacterial infection enables precision pre...

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.

This study evaluates and compares the performance of different machine learning techniques on predic...

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...

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 prov...

Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

PURPOSE: Salvage high-dose-rate brachytherapy (sHDRB) is a treatment option for recurrences after pr...

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 li...

Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing.

BACKGROUND AND PURPOSE: Convolutional neural networks (CNNs) are commonly used for segmentation of b...

Supporting shared hypothesis testing in the biomedical domain.

BACKGROUND: Pathogenesis of inflammatory diseases can be tracked by studying the causality relations...

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...

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 col...

Machine-learned analysis of quantitative sensory testing responses to noxious cold stimulation in healthy subjects.

BACKGROUND: Pain in response to noxious cold has a complex molecular background probably involving s...

Using optical tracking for kinematic testing of medical robots.

BACKGROUND: In image-guided robotic interventions, an error component is related to the positioning ...

Mild troponin elevation in patients admitted to the emergency department with atrial fibrillation: 30-day post-discharge prognostic significance.

Patients with atrial fibrillation (AF) often undergo troponin (Tn) testing in the emergency departme...

HHV-8-associated haemophagocytic lymphohistiocytosis in a patient with advanced AIDS.

We present a patient with advanced AIDS admitted with recurrent shock of unclear aetiology, fevers, ...

[Surveillance of Sensitivity to Penicillin in streptococcus Agalactiae recovered from pregnant women between 35-37 weeks of gestation].

Streptococcus agalactiae (GBS) cause severe infections in newborns under three months. Meningitis, p...

Lung abscess caused by serotype 6B.

Lung abscess has been considered to be a rare complication of pneumococcal infection, and most cases...

Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.

BACKGROUND: Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker ...

Egg Excretion does not Increase after Exercise: Implications for Diagnostic Testing.

Children are frequently invited to exercise before micturition, as it is believed that this activity...

Azithromycin and Chloramphenicol Diminish Neutrophil Extracellular Traps (NETs) Release.

Neutrophils are one of the first cells to arrive at the site of infection, where they apply several ...

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