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Predicting chemo-brain in breast cancer survivors using multiple MRI features and machine-learning.

Magnetic resonance in medicine
PURPOSE: Breast cancer (BC) is the most common cancer in women worldwide. There exist various advanced chemotherapy drugs for BC; however, chemotherapy drugs may result in brain damage during treatment. When a patient's brain is changed in response t...

Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps.

Computers in biology and medicine
AIMS: The aim of this study was to determine whether deep convolutional neural network (DCNN)-based features can represent the difference between cardiac sarcoidosis (CS) and non-CS using polar maps.

Physiological Responses and Perceived Exertion During Robot-Assisted and Body Weight-Supported Gait After Stroke.

Neurorehabilitation and neural repair
INTRODUCTION: Physiological responses are rarely considered during walking after stroke and if considered, only during a short period (3-6 minutes). The aims of this study were to examine physiological responses during 30-minute robot-assisted and bo...

Could Robots Help Older People with Age-Related Nutritional Problems? Opinions of Potential Users.

International journal of environmental research and public health
The rapid development of new technologies has recently raised interest in the use of assistive robots in the care of older people. The success or failure of robots' implementation is mediated by their acceptance by users. The aim of the study was to...

Development of 3D patient-based super-resolution digital breast phantoms using machine learning.

Physics in medicine and biology
Digital phantoms are important tools for optimization and evaluation of x-ray imaging systems, and should ideally reflect the 3D structure of human anatomy and its potential variability. In addition, they need to include a good level of detail at a h...

A Study of Machine-Learning Classifiers for Hypertension Based on Radial Pulse Wave.

BioMed research international
OBJECTIVE: In this study, machine learning was utilized to classify and predict pulse wave of hypertensive group and healthy group and assess the risk of hypertension by observing the dynamic change of the pulse wave and provide an objective referenc...

Assessing urinary levels of IL-18, NGAL and albumin creatinine ratio in patients with diabetic nephropathy.

Diabetes & metabolic syndrome
AIMS: Diabetic nephropathy (DN) is a serious microvascular complication of a longstanding hyperglycemia. This study aims to evaluate whether urinary neutrophil gelatinase-associated lipocalin (NGAL) and urinary Interleukin-18 possess a better diagnos...

[Interest of robotic stereotactic radiosurgery in the management of brain metastases: Results of a retrospective, single center analysis].

Neuro-Chirurgie
PURPOSE: The management of malignant brain metastases becomes a main issue for the treatment of patients, because of the survival extension related to the improvement in systemic treatments. Robotic stereotactic radiosurgery (RSR) is a new approach i...

Planar conformity of movements in 3D reaching tasks for persons with Multiple Sclerosis.

Human movement science
Robotic rehabilitation of the upper limb has been proved beneficial for people with Multiple Sclerosis (MS). In order to provide task-specific therapy for MS, given its complex impairing nature, it is desired to take advantage of the robots' ability ...