Incorporating Robustness to Imaging Physics into Radiomic Feature Selection for Breast Cancer Risk Estimation.

Digital mammography has seen an explosion in the number of radiomic features used for risk-assessment modeling. However, having more features is not necessarily beneficial, as some features may be overly sensitive to imaging physics (contrast, noise, and image sharpness). To measure the effects of imaging physics, we analyzed the feature variation across imaging acquisition settings (kV, mAs) using an anthropomorphic phantom.

A versatile system for neuromuscular stimulation and recording in the mouse model using a lightweight magnetically coupled headmount.

Neural stimulation and recording in rodents are common methods to better understand the nervous system and improve the quality of life of individuals who are suffering from neurological disorders (e.g., epilepsy), as well as for permanent reduction of chronic pain in patients with neuropathic pain and spinal-cord injury.

O-Net: An Overall Convolutional Network for Segmentation Tasks.

Convolutional neural networks (CNNs) have recently been popular for classification and segmentation through numerous network architectures offering a substantial performance improvement. Their value has been particularly appreciated in the domain of biomedical applications, where even a small improvement in the predicted segmented region (e.g.

Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots.

Soft machines typically exhibit slow locomotion speed and low manipulation strength because of intrinsic limitations of soft materials. Here, we present a generic design principle that harnesses mechanical instability for a variety of spine-inspired fast and strong soft machines. Unlike most current soft robots that are designed as inherently and unimodally stable, our design leverages tunable snap-through bistability to fully explore the ability of soft robots to rapidly store and release energy within tens of milliseconds.

Calculation of Radiomic Features to Validate the Textural Realism of Physical Anthropomorphic Phantoms for Digital Mammography.

In this paper, radiomic features are used to validate the textural realism of two anthropomorphic phantoms for digital mammography. One phantom was based off a computational breast model; it was 3D printed by CIRS (Computerized Imaging Reference Systems, Inc., Norfolk, VA) under license from the University of Pennsylvania.

Robust Radiomic Feature Selection in Digital Mammography: Understanding the Effect of Imaging Acquisition Physics Using Phantom and Clinical Data Analysis.

Studies have shown that combining calculations of radiomic features with estimates of mammographic density results in an even better assessment of breast cancer risk than density alone. However, to ensure that risk assessment calculations are consistent across different imaging acquisition settings, it is important to identify features that are not overly sensitive to changes in these settings. In this study, digital mammography (DM) images of an anthropomorphic phantom ("Rachel", Gammex 169, Madison, WI) were acquired at various technique settings.

Adaptation to slope in locomotor-trained spinal cats with intact and self-reinnervated lateral gastrocnemius and soleus muscles.

Sensorimotor training providing motion-dependent somatosensory feedback to spinal locomotor networks restores treadmill weight-bearing stepping on flat surfaces in spinal cats. In this study, we examined if locomotor ability on flat surfaces transfers to sloped surfaces and the contribution of length-dependent sensory feedback from lateral gastrocnemius (LG) and soleus (Sol) to locomotor recovery after spinal transection and locomotor training. We compared kinematics and muscle activity at different slopes (±10° and ±25°) in spinalized cats ( = 8) trained to walk on a flat treadmill.

The Effect of Lavandula Stoechas on Toxigenesis and the Growth of Vibrio Parahaemolyticus.

Background & Objective: Outbreak of food-borne diseases has become more and more important these days and using natural food preservers with high durability is under debate. Vegetative essence is a type of food preserver and many studies have been performed on their antimicrobial effects. The purpose of this study wasto investigate antibacterial effects of lavender essence on toxigenesis and the growth of .

Detection of small bowel tumor in wireless capsule endoscopy images using an adaptive neuro-fuzzy inference system.

Automatic diagnosis tool helps physicians to evaluate capsule endoscopic examinations faster and more accurate. The purpose of this study was to evaluate the validity and reliability of an automatic post-processing method for identifying and classifying wireless capsule endoscopic images, and investigate statistical measures to differentiate normal and abnormal images. The proposed technique consists of two main stages, namely, feature extraction and classification.

Inhibitory Activities of Platelet-Rich and Platelet-Poor Plasma on the Growth of Pathogenic Bacteria.

Background: The utility and efficacy of novel materials in tissue regeneration and antimicrobial therapy are contingent upon the employment of either blood derivatives rich in platelets or platelet-poor-plasma (PPP). This effect is largely mediated by the increased or decreased concentration of platelets in the plasma. The current study aimed to analyze and evaluate the impact of platelet-rich (PRP) or PPP on inhibiting the growth of human pathogenic bacteria and compare their effects with those of chloramphenicol and penicillin.

Investigations of renal function using the level of neutrophil gelatinase-associated lipocalin associated with single-dose of cisplatin during chemotherapy.

Background: Neutrophil gelatinase-associated lipocalin (NGAL) is known as a primary indicator of acute and chronic renal and can be effective in chronic kidney injury (CKI) with kidney tumors cisplatin (CP) chemotherapy. The aim of this study was to evaluate serum and urinary biomarker including NGAL (sNGAL and uNGAL) in canine with solid renal tumors who suffered from cisplatin after short and long-term chemotherapy.

Methods: In this study, in treatment and control groups, canine (n = 10 and n = 5) were administered cisplatin at 1.