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Total 162 results found since Jan 2013.
Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach
CONCLUSION: The stroke risk in patients with epilepsy was relatively high and could be predicted based on comorbidities such as diabetes mellitus, hypertension, heart failure, and alcohol dependence. Knowing and addressing these factors may help reduce the risk of stroke in patients with epilepsy.PMID:34325155 | DOI:10.1016/j.yebeh.2021.108211
Source: Epilepsy and Behaviour - July 29, 2021 Category: Neurology Authors: Karel Kostev Tong Wu Yue Wang Kal Chaudhuri Christian Tanislav Source Type: research
‘Rise of the machines’: the next frontier in individualized medicine
Artificial intelligence (AI) andin silico models, in conjunction with the rapid adoption of mobile health (mHealth) technologies such as smart wearables, have the potential to revolutionize the monitoring, screening, and treatment of cardiovascular disease patients. Broadly speaking, AI and machine learning (ML) are predominantly statistical methods —learning from patient data to predict outcomes, with often little to no mechanistic understanding of the underlying processes. On the other hand, the nascent but rapidly developing field ofin silico models are mechanistic models —they use the underlying physics/chemistry t...
Source: Cardiovascular Research - July 19, 2021 Category: Cardiology Source Type: research
Electronic Medical Record Risk Modeling of Cardiovascular Outcomes Among Patients with Type 2 Diabetes
ConclusionsThe Ochsner model overestimated 5-year CHD risk, but had relatively higher calibration than the other models in CHD. Risk equations fitted for local populations improved cardiovascular risk stratification for patients with T2DM. Application of machine learning simplified the models compared to “generalized” risk equations.
Source: Diabetes Therapy - June 18, 2021 Category: Endocrinology Source Type: research
COVID-19 Exposed the Faults in America ’s Elder Care System. This Is Our Best Shot to Fix Them
For the American public, one of the first signs of the COVID-19 pandemic to come was a tragedy at a nursing home near Seattle. On Feb. 29, 2020, officials from the U.S. Centers for Disease Control and Prevention (CDC) and Washington State announced the U.S. had its first outbreak of the novel coronavirus. Three people in the area had tested positive the day before; two of them were associated with Life Care Center of Kirkland, and officials expected more to follow soon. When asked what steps the nursing home could take to control the spread, Dr. Jeff Duchin, health officer for Seattle and King County, said he was working w...
Source: TIME: Health - June 15, 2021 Category: Consumer Health News Authors: Abigail Abrams Tags: Uncategorized Aging COVID-19 feature franchise Magazine TIME for Health Source Type: news
Medical and Pharmacy Students Celebrate Match Day
The annual event – held online due the COVID-19 pandemic – marks a rite of passage for students as they start their careers after graduation.
Thursday
University of Arizona Health Sciencesmatch-day-2400x1350-2021-v2-01-hero-web.png
On March 19, Health Sciences students at the Colleges of Medicine – Tucson and Phoenix participated in Match Day and learned the location of the residency training program where they will start their careers as physicians.HealthCollege of Medicine - PhoenixCollege of Medicine - TucsonCollege of Pharmacy
Media contact(s)Stacy Pigott
University of Arizona Health Sciencesspigott@arizon...
Source: The University of Arizona: Health - March 25, 2021 Category: Universities & Medical Training Authors: mittank Source Type: research
Janssen Announces U.S. FDA Approval of PONVORY ™ (ponesimod), an Oral Treatment for Adults with Relapsing Multiple Sclerosis Proven Superior to Aubagio® (teriflunomide) in Reducing Annual Relapses and Brain Lesions
TITUSVILLE, N.J. – (March 19, 2021) – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced that the U.S. Food and Drug Administration (FDA) approved PONVORY™ (ponesimod), a once-daily oral selective sphingosine-1-phosphate receptor 1 (S1P1) modulator, to treat adults with relapsing forms of multiple sclerosis (MS), to include clinically isolated syndrome, relapsing-remitting disease and active secondary progressive disease.1,2,3 PONVORY™ offers MS patients superior efficacy in reducing annualized relapse rates compared to an established oral therapy and a proven safety profile backed by ove...
Source: Johnson and Johnson - March 19, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news
Multi ‐modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction ≤ 45%
ConclusionsMulti ‐modality assessment is important for risk stratification in HF. A machine learning approach provides additional value for improving outcome prediction.
Source: ESC Heart Failure - October 23, 2020 Category: Cardiology Authors: Gary Tse,
Jiandong Zhou,
Samuel Won Dong Woo,
Ching Ho Ko,
Rachel Wing Chuen Lai,
Tong Liu,
Yingzhi Liu,
Keith Sai Kit Leung,
Andrew Li,
Sharen Lee,
Ka Hou Christien Li,
Ishan Lakhani,
Qingpeng Zhang Tags: Original Research Article Source Type: research
What Are the Main Acyanotic Congenital Heart Diseases?
Discussion
Congenital heart diseases (CHD) are malformations of the heart and great vessels. It occurs in about 5-8/1000 live births. Cyanotic congenital heart disease is often noted perinatally because of cyanosis, respiratory distress and/or poor feeding or other distress type problems. A review can be found here.
Acyanotic congenital heart disease (ACHD) can present at birth but often is seen in older children or adults unless the lesions are severe, especially obstructive lesions. Severe lesions may also cause cyanosis and distress type problems in patients also.
Shunting lesions cause problems by diverting blood flo...
Source: PediatricEducation.org - August 17, 2020 Category: Pediatrics Authors: Pediatric Education Tags: Uncategorized Source Type: news
Biventricular imaging markers to predict outcomes in non ‐compaction cardiomyopathy: a machine learning study
ConclusionsOur findings show the importance of biventricular assessment to detect the severity of this cardiomyopathy and to plan for early clinical intervention. In addition, this study shows that even patients with normal LV function and negative late gadolinium enhancement had MACE. ML is a promising tool for analysing a large set of parameters to stratify and predict prognosis in LVNC patients.
Source: ESC Heart Failure - June 29, 2020 Category: Cardiology Authors: Camila Rocon,
Mahdi Tabassian,
Marcelo Dantas Tavares de Melo,
Jose Arimateia Araujo Filho,
Cesar Jos é Grupi,
Jose Rodrigues Parga Filho,
Edimar Alcides Bocchi,
Jan D'hooge,
Vera Maria Cury Salemi Tags: Original Research Article Source Type: research
Cardiac and Pulmonary Disorders and the Nervous System
This article reviews the neurologic complications encountered with cardiac and pulmonary disorders, specifically focusing on endocarditis, cardiac arrest, heart failure, hypercapnia, hypoxia, and cystic fibrosis. As neurologic dysfunction is one of the most frequent complications of these diseases and may even be the presenting symptom, it is important to be familiar with these complications to foster early recognition and intervention.
RECENT FINDINGS
Advances have been made in the identification of which patients can safely undergo valvular surgery for treatment of infective endocarditis in the setting of stroke, whic...
Source: CONTINUUM: Lifelong Learning in Neurology - June 1, 2020 Category: Neurology Tags: REVIEW ARTICLES Source Type: research
Biosense Webster Unveils Late-Breaking Results from PRECEPT Study in Patients with Persistent Atrial Fibrillation
IRVINE, CA – May 8, 2020 – Johnson & Johnson Medical Devices Companies* today announced that Biosense Webster, Inc.’s THERMOCOOL SMARTTOUCH® SF Ablation Catheter, evaluated in the PRECEPT study for the treatment of persistent atrial fibrillation (AF), resulted in freedom from any documented, symptomatic atrial arrhythmias at 15 months post-procedure for eight out of ten study participants (80.4 percent).1 Use of the THERMOCOOL SMARTTOUCH SF CATHETER for persistent atrial fibrillation is investigational only. This PRECEPT study data support a Premarket Approval supplement application to the U.S. Food and Drug Adm...
Source: Johnson and Johnson - May 12, 2020 Category: Pharmaceuticals Tags: Innovation Source Type: news
Integrating the STOP-BANG score and clinical data to predict cardiovascular events after infarction: A machine learning study.
Abstract
BACKGROUND: Obstructive sleep apnea (OSA) conveys worse clinical outcomes in coronary artery disease patients. The STOP-BANG score is a simple tool that evaluates the risk of OSA and can be added to the large number of clinical variables and scores obtained during the management of myocardial infarction (MI) patients. Currently, machine learning (ML) is able to select and integrate numerous variables to optimize prediction tasks.
RESEARCH QUESTION: Can the integration of STOP-BANG score with clinical data and scores through ML better identify patients who suffered an in-hospital cardiovascular event ...
Source: Chest - April 24, 2020 Category: Respiratory Medicine Authors: Calvillo-Argüelles O, Sierra-Fernández CR, Padilla-Ibarra J, Rodriguez-Zanella H, Balderas-Muñoz K, Arias-Mendoza MA, Martínez-Sánchez C, Selmen-Chattaj S, Dominguez-Mendez BE, van der Harst P, Juarez-Orozco LE Tags: Chest Source Type: research
A stacked LSTM for atrial fibrillation prediction based on multivariate ECGs
AbstractAtrial fibrillation (AF) is an irregular and rapid heart rate that can increase the risk of various heart-related complications, such as the stroke and the heart failure. Electrocardiography (ECG) is widely used to monitor the health of heart disease patients. It can dramatically improve the health and the survival rate of heart disease patients by accurately predicting the AFs in an ECG. Most of the existing researches focus on the AF detection, but few of them explore the AF prediction. In this paper, we develop a recurrent neural network (RNN) composed of stacked LSTMs for AF prediction, which called SLAP. This ...
Source: Health Information Science and Systems - April 20, 2020 Category: Information Technology Source Type: research
