AIMC Topic: Female

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An Intracardiac Soft Robotic Device for Augmentation of Blood Ejection from the Failing Right Ventricle.

Annals of biomedical engineering
We introduce an implantable intracardiac soft robotic right ventricular ejection device (RVED) for dynamic approximation of the right ventricular (RV) free wall and the interventricular septum (IVS) in synchrony with the cardiac cycle to augment bloo...

Crowdsourced validation of a machine-learning classification system for autism and ADHD.

Translational psychiatry
Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) together affect >10% of the children in the United States, but considerable behavioral overlaps between the two disorders can often complicate differential diagnosis. ...

Investigations of severity level measurements for diabetic macular oedema using machine learning algorithms.

Irish journal of medical science
BACKGROUND: The macula is an important part of the human visual system and is responsible for clear and colour vision. Macular oedema happens when fluid and protein deposit on or below the macula of the eye and cause the macula to thicken and swell. ...

Oxygen extraction fraction mapping at 3 Tesla using an artificial neural network: A feasibility study.

Magnetic resonance in medicine
PURPOSE: The oxygen extraction fraction (OEF) is an important biomarker for tissue-viability. MRI enables noninvasive estimation of the OEF based on the blood-oxygenation-level-dependent (BOLD) effect. Quantitative OEF-mapping is commonly applied usi...

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.

Medical image analysis
Graph-based transductive learning (GTL) is a powerful machine learning technique that is used when sufficient training data is not available. In particular, conventional GTL approaches first construct a fixed inter-subject relation graph that is base...

Flexion synergy overshadows flexor spasticity during reaching in chronic moderate to severe hemiparetic stroke.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
OBJECTIVE: Pharmaceutical intervention targets arm flexor spasticity with an often-unsuccessful goal of improving function. Flexion synergy is a related motor impairment that may be inadvertently neglected. Here, flexor spasticity and flexion synergy...

The potential impact of the hypovitaminosis D on metabolic complications in obese adolescents - Preliminary results.

Annals of agricultural and environmental medicine : AAEM
INTRODUCTION AND OBJECTIVE: Vitamin D deficiency is common in obesity; however, its contribution in the development of metabolic complications remains uncertain. The aim of the study was to examine the relationships between vitamin D status and metab...

Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle.

Journal of dairy science
The objective of this study was to use automated activity, lying, and rumination monitors to characterize prepartum behavior and predict calving in dairy cattle. Data were collected from 20 primiparous and 33 multiparous Holstein dairy cattle from Se...

A structured latent model for ovarian carcinoma subtyping from histopathology slides.

Medical image analysis
Accurate subtyping of ovarian carcinomas is an increasingly critical and often challenging diagnostic process. This work focuses on the development of an automatic classification model for ovarian carcinoma subtyping. Specifically, we present a novel...

Laparoscopic versus robotic surgery for hepatocellular carcinoma: the first 46 consecutive cases.

The Journal of surgical research
BACKGROUND: Hepatocellular carcinoma has a growing incidence worldwide, and represents a leading cause of death in patients with cirrhosis. Nowadays, minimally invasive approaches are spreading in every field of surgery and in liver surgery as well.