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Condition: Ischemic Stroke
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Total 959 results found since Jan 2013.
Clustering and prediction of long-term functional recovery patterns in first-time stroke patients
ConclusionsThe longitudinal, multi-dimensional, functional assessment data of first-time stroke patients were successfully clustered, and the prediction models showed relatively good accuracies. Early identification and prediction of long-term functional outcomes will help clinicians develop customized treatment strategies.
Source: Frontiers in Neurology - March 8, 2023 Category: Neurology Source Type: research
New VOYAGER PAD Analysis Confirms Consistent Benefit of XARELTO ® (rivaroxaban) Plus Aspirin Following Lower Extremity Revascularization (LER)
TITUSVILLE, NJ, March 5, 2023 – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced data from a new prespecified analysis from the Phase 3 VOYAGER PAD clinical trial reinforcing the benefits of the XARELTO® (rivaroxaban) vascular dose (2.5 mg twice daily plus aspirin 100 mg once daily) over standard of care (aspirin alone), demonstrating consistent benefit at 30 days, 90 days and up to three years following LER in patients with PAD. Lower extremity revascularization, also called peripheral revascularization, is a procedure that restores blood flow in blocked arteries or veins. This analysis of ...
Source: Johnson and Johnson - March 5, 2023 Category: Pharmaceuticals Tags: Latest News Source Type: news
Heterogeneity in diagnosis and prognosis of ischaemic stroke subtypes: 9-year follow-up of 22000 cases in Chinese adults
CONCLUSIONS: This study highlighted substantial heterogeneity in prognosis of IS subtypes and utility of ML approaches for classification of IS cases with incomplete clinical investigations.PMID:36847304 | DOI:10.1177/17474930231162265
Source: Atherosclerosis - February 27, 2023 Category: Cardiology Authors: Matthew Chun Haiqiang Qin Iain Turnbull Sam Sansome Simon Gilbert Alex Hacker Neil Wright Tingting Zhu David Clifton Derrick Bennett Yu Guo Pei Pei Jun Lv Canqing Yu Ling Yang Liming Li Yan Lu Zhengming Chen Ben Cairns Yiping Chen Robert Clarke Source Type: research
MRI for all: Cheap portable scanners aim to revolutionize medical imaging
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The patient, a man in his 70s with a shock of silver hair, lies in the neuro intensive care unit (neuro ICU) at Yale New Haven Hospital. Looking at him, you’d never know that a few days earlier a tumor was removed from his pituitary gland. The operation didn’t leave a mark because, as is standard, surgeons reached the tumor through his nose. He chats cheerfully with a pair of research associates who have come to check his progress with a new and potentially revolutionary device they are testing.
The cylind...
Source: Science of Aging Knowledge Environment - February 23, 2023 Category: Geriatrics Source Type: research
Machine learning segmentation of core and penumbra from acute stroke CT perfusion data
We present an alternative model for the estimation of tissue fate using multiple perfusion measures simultaneously.MethodsWe used machine learning (ML) models based on four different algorithms, combining four CTP measures (cerebral blood flow, cerebral blood volume, mean transit time and delay time) plus 3D-neighborhood (patch) analysis to predict the acute ischemic core and perfusion lesion volumes. The model was developed using 86 patient images, and then tested further on 22 images.ResultsXGBoost was the highest-performing algorithm. With standard threshold-based core and penumbra measures as the reference, the model d...
Source: Frontiers in Neurology - February 23, 2023 Category: Neurology Source Type: research
The predictors of death within 1 year in acute ischemic stroke patients based on machine learning
ConclusionsThe network calculator based on the XGB model developed in this study can help clinicians make more personalized and rational clinical decisions.
Source: Frontiers in Neurology - February 23, 2023 Category: Neurology Source Type: research
Machine learning-based prediction of clinical outcomes after first-ever ischemic stroke
ConclusionOur machine learning analysis successfully demonstrated the ability to predict clinical outcomes after first-ever ischemic stroke and identified the leading prognostic factors that contribute to this prediction.
Source: Frontiers in Neurology - February 21, 2023 Category: Neurology Source Type: research
Neuroimaging is the new “spatial omic”: multi-omic approaches to neuro-inflammation and immuno-thrombosis in acute ischemic stroke
AbstractIschemic stroke (IS) is the leading cause of acquired disability and the second leading cause of dementia and mortality. Current treatments for IS are primarily focused on revascularization of the occluded artery. However, only 10% of patients are eligible for revascularization and 50% of revascularized patients remain disabled at 3 months. Accumulating evidence highlight the prognostic significance of the neuro- and thrombo-inflammatory response after IS. However, several randomized trials of promising immunosuppressive or immunomodulatory drugs failed to show positive results. Insufficient understanding of inter-...
Source: Seminars in Immunopathology - February 14, 2023 Category: Pathology Source Type: research
Janssen Data at ASCO GU Support Ambition to Transform Treatment of Prostate and Bladder Cancer Through Precision Medicine and Early Intervention
RARITAN, N.J., February 13, 2023 – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced plans to present more than 20 abstracts featuring seven oncology therapies from its robust portfolio and pipeline at the annual American Society of Clinical Oncology (ASCO) Genitourinary (GU) Cancers Symposium, taking place in San Francisco on February 16-18. Building on more than a decade of leadership in the development of medicines for people diagnosed with GU cancers, Janssen will present data demonstrating its ambition to advance patient-centered treatment through precision medicine, real-world evidence a...
Source: Johnson and Johnson - February 13, 2023 Category: Pharmaceuticals Tags: Latest News Source Type: news
Electric field simulations of transcranial direct current stimulation in children with perinatal stroke
DiscussionIndividualized patient-centered tDCS EF simulations are prudent for clinical trial planning and may provide insight into the efficacy of tDCS interventions in children with PS.
Source: Frontiers in Human Neuroscience - February 2, 2023 Category: Neuroscience Source Type: research
Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups
CONCLUSIONS AND RELEVANCE: In this analysis of Black and White individuals without stroke or transient ischemic attack among 4 US cohorts, existing stroke-specific risk prediction models and novel machine learning techniques did not significantly improve discriminative accuracy for new-onset stroke compared with the pooled cohort equations, and the REGARDS self-report model had the best calibration. All algorithms exhibited worse discrimination in Black individuals than in White individuals, indicating the need to expand the pool of risk factors and improve modeling techniques to address observed racial disparities and imp...
Source: Atherosclerosis - January 24, 2023 Category: Cardiology Authors: Chuan Hong Michael J Pencina Daniel M Wojdyla Jennifer L Hall Suzanne E Judd Michael Cary Matthew M Engelhard Samuel Berchuck Ying Xian Ralph D'Agostino George Howard Brett Kissela Ricardo Henao Source Type: research
Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients
CONCLUSION: Reliable TSPO PET quantification is achievable by using a single late PET frame divided by a late blood sample activity concentration.PMID:36682921 | DOI:10.1016/j.zemedi.2022.11.008
Source: Zeitschrift fur Medizinische Physik - January 22, 2023 Category: Radiology Authors: Artem Zatcepin Anna Kopczak Adrien Holzgreve Sandra Hein Andreas Schindler Marco Duering Lena Kaiser Simon Lindner Martin Schidlowski Peter Bartenstein Nathalie Albert Matthias Brendel Sibylle I Ziegler Source Type: research
