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Total 258 results found since Jan 2013.

What ’s the Big Deal about Data in Medtech?
Discussion, “Top 5 Things You Need to Know about the Implantable Internet of Things." Brian Chapman, partner and leader of ZS’s medtech practice of ZS, attributes today’s focus on data to the intersection of two important things: "A general recognition that understanding more and connecting actions with outcomes will provide feedback and understanding that will drive standards of care. This is not new, but as capabilities rise in data collection, aggregation, and synthesize rise, and coupled with machine learning, the promise of data in healthcare is becoming even more ...
Source: MDDI - December 20, 2019 Category: Medical Devices Authors: Daphne Allen Tags: Digital Health Source Type: news

Reduced striatal activation in response to rewarding motor performance feedback after stroke
ConclusionStriatal hypoactivation in stroke survivors may cause impaired consolidation of motor skills. Stronger rewarding stimuli or drug-mediated enhancement may be needed to normalize reward processing after stroke with positive effects on recovery.
Source: NeuroImage: Clinical - October 24, 2019 Category: Radiology Source Type: research

Generalizing post-stroke prognoses from research data to clinical data
Publication date: Available online 14 October 2019Source: NeuroImage: ClinicalAuthor(s): Robert Loughnan, Diego L. Lorca-Puls, Andrea Gajardo-Vidal, Valeria Espejo-Videla, Céline R. Gillebert, Dante Mantini, Cathy J. Price, Thomas M.H. HopeAbstractAround a third of stroke survivors suffer from acquired language disorders (aphasia), but current medicine cannot predict whether or when they might recover. Prognostic research in this area increasingly draws on datasets associating structural brain imaging data with outcome scores for ever-larger samples of stroke patients. The aim is to learn brain-behavior trends from these ...
Source: NeuroImage: Clinical - October 15, 2019 Category: Radiology Source Type: research

The Use of Random Forests to Classify Amyloid Brain PET
Conclusions Random forests can classify brain PET as positive or negative for amyloid deposition and suggest key clinically relevant, regional features for classification.
Source: Clinical Nuclear Medicine - September 11, 2019 Category: Nuclear Medicine Tags: Original Articles Source Type: research

Japan approves iSchemaView ’ s Rapid stroke imaging device
iSchemaView today announced that it received registration approval in Japan for its Rapid imaging platform. The company received registration approval through the Japanese Pharmaceutical Affairs Law and through a third party review by the Japanese Assn. for the Advancement of Medical Equipment for the Rapid imaging platform. Rapid is designed to give physicians a fast, fully automated and easy-to-interpret imaging system that can help doctors make clinical decisions about stroke. “Stroke remains the fourth most common cause of death in Japan, and as the population ages, stroke is likely to become an increasing health...
Source: Mass Device - July 8, 2019 Category: Medical Devices Authors: Danielle Kirsh Tags: Cardiovascular Hospital Care Imaging ischemaview Source Type: news

Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans
In conclusion, ­e-CTA provides a real-time and fully automated approach to collateral scoring with the potential to improve consistency of image interpretation and to independently quantify collateral scores even without expert rater input.Cerebrovasc Dis
Source: Cerebrovascular Diseases - June 19, 2019 Category: Neurology Source Type: research

White matter hyperintensity quantification in large-scale clinical acute ischemic stroke cohorts – The MRI-GENIE study
Publication date: Available online 29 May 2019Source: NeuroImage: ClinicalAuthor(s): Markus D. Schirmer, Adrian V. Dalca, Ramesh Sridharan, Anne-Katrin Giese, Kathleen L. Donahue, Marco J. Nardin, Steven J.T. Mocking, Elissa C. McIntosh, Petrea Frid, Johan Wasselius, John W. Cole, Lukas Holmegaard, Christina Jern, Jordi Jimenez-Conde, Robin Lemmens, Arne G. Lindgren, James F. Meschia, Jaume Roquer, Tatjana Rundek, Ralph L. SaccoAbstractWhite matter hyperintensity (WMH) burden is a critically important cerebrovascular phenotype linked to prediction of diagnosis and prognosis of diseases, such as acute ischemic stroke (AIS)....
Source: NeuroImage: Clinical - May 29, 2019 Category: Radiology Source Type: research

Sex Difference of Radiation Response in Occupational and Accidental Exposure
Conclusion and Outlook This review summarizes the data from major human studies on the health risks of radiation exposure and shows that sex can potentially influence the prolonged response to radiation exposure (Figure 1 and Tables 1, 2). These data suggest that long-term radiosensitivity in females is higher than that in males who receive a comparable dose of radiation. Our analysis of the literature agrees with the conclusions of the recent report on the Biological effects of ionizing radiation (BEIR VII) published in 2006 by the National Academy of Sciences (NAS), United States (National Research Council, 2006). The B...
Source: Frontiers in Genetics - May 2, 2019 Category: Genetics & Stem Cells Source Type: research

Deep Learning in the Prediction of Ischaemic Stroke Thrombolysis Functional Outcomes: A Pilot Study
ConclusionDL models may aid in the prediction of functional thrombolysis outcomes. Further investigation with larger datasets and additional imaging sequences is indicated.
Source: Academic Radiology - May 2, 2019 Category: Radiology Source Type: research

A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography
AbstractPurpose of ReviewCardiovascular disease (CVD) and stroke risk assessment have been largely based on the success of traditional statistically derived risk calculators such as Pooled Cohort Risk Score or Framingham Risk Score. However, over the last decade, automated computational paradigms such as machine learning (ML) and deep learning (DL) techniques have penetrated into a variety of medical domains including CVD/stroke risk assessment. This review is mainly focused on the changing trends in CVD/stroke risk assessment and its stratification from statistical-based models to ML-based paradigms using non-invasive car...
Source: Current Atherosclerosis Reports - April 30, 2019 Category: Cardiology Source Type: research

Scientists Identify New Type of Brain Degeneration That Mimics Alzheimer ’s. Here’s What to Know
(WASHINGTON) — Some people told they have Alzheimer’s may instead have a newly identified mimic of the disease — and scientists say even though neither is yet curable, it’s critical to get better at telling different kinds of dementia apart. Too often, the word dementia is used interchangeably with Alzheimer’s when there are multiple types of brain degeneration that can harm people’s memory and thinking skills. “Not everything that looks like Alzheimer’s disease is Alzheimer’s disease,” said Dr. Julie Schneider, a neuropathologist at Rush University Medical Center...
Source: TIME: Health - April 30, 2019 Category: Consumer Health News Authors: Associated Press Tags: Uncategorized diseases onetime Source Type: news

More Research Is Needed on Lifestyle Behaviors That Influence Progression of Parkinson's Disease
This article highlights some of these challenges in the design of lifestyle studies in PD, and suggests a more coordinated international effort is required, including ongoing longitudinal observational studies. In combination with pharmaceutical treatments, healthy lifestyle behaviors may slow the progression of PD, empower patients, and reduce disease burden. For optimal care of people with PD, it is important to close this gap in current knowledge and discover whether such associations exist. Introduction Parkinson's disease (PD) is an age-related complex progressive neurodegenerative disorder, with key p...
Source: Frontiers in Neurology - April 29, 2019 Category: Neurology Source Type: research

Modulating Applied Task Performance via Transcranial Electrical Stimulation
Conclusion tES may prove valuable for modulating applied task performance, though research in this area warrants careful consideration of several individual-, context-, and task-related factors that may predict the robustness and directionality of tES effects. Whereas most applied research with tES has administered tDCS, tACS and tRNS have also shown potential to modulate cortical activity and behavior. Even in highly applied and dynamic tasks, such as navigation and driving, tES appears to carry some performance benefits. This is compelling because as tES is slowly incorporated into highly complex real-world environments...
Source: Frontiers in Human Neuroscience - April 29, 2019 Category: Neuroscience Source Type: research

Iron Metabolism and Brain Development in Premature Infants
Yafeng Wang1,2,3, Yanan Wu2, Tao Li1,2,3, Xiaoyang Wang2,4 and Changlian Zhu2,3* 1Department of Neonatology (NICU), Children’s Hospital Affiliated Zhengzhou University, Zhengzhou, China 2Henan Key Laboratory of Child Brain Injury, Institute of Neuroscience and Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China 3Department of Clinical Neuroscience, Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden 4Department of Physiology, Sahlgrenska Academy, Institute of Neuroscience and Physiology, University of Got...
Source: Frontiers in Physiology - April 24, 2019 Category: Physiology Source Type: research

Osteoporosis and Sarcopenia Increase Frailty Syndrome in the Elderly
Conclusions World population is aging and the increase in life expectancy is often unhealthy. In particular, musculoskeletal aging, which leads to sarcopenia and osteoporosis, has several causes such as changes in body composition, inflammation, and hormonal imbalance. Sarcopenia, osteoporosis, and more frequently, sarcopenic obesity are commonly associated with aging and frequently closely linked each other, often leading to the development of a frailty syndrome. Frailty syndrome favors an increased risk of loss function in daily activities, for cardiovascular diseases, cancers, falls, and mortality. As the number of eld...
Source: Frontiers in Endocrinology - April 23, 2019 Category: Endocrinology Source Type: research