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Total 268 results found since Jan 2013.
Associations between short-term ambient ozone exposure and cause-specific mortality in rural and urban areas of Jiangsu, China
Environ Res. 2022 Mar 11:113098. doi: 10.1016/j.envres.2022.113098. Online ahead of print.ABSTRACTMost previous studies on the acute health effects of ozone are limited to urban areas, largely due to the paucity of air pollutant measurements in rural areas. We here estimated the county-specific daily maximum 8-h average ozone concentration in Jiangsu Province, China during 2015-2018, using a recently developed spatiotemporal machine learning model at a spatial resolution of 0.1° × 0.1° (∼11 × 11 km). Counties were equally divided into urban and rural groups based on the median of the percentage of urban residents acr...
Source: Environmental Research - March 15, 2022 Category: Environmental Health Authors: Chengyi Lin Yiqun Ma Riyang Liu Yanchuan Shao Zongwei Ma Lian Zhou Yuanshu Jing Michelle L Bell Kai Chen Source Type: research
Exercise medicine and physical activity promotion: core curricula for US medical schools, residencies and sports medicine fellowships: developed by the American Medical Society for Sports Medicine and endorsed by the Canadian Academy of Sport and Exercise Medicine
Regular physical activity provides a variety of health benefits and is proven to treat and prevent several non-communicable diseases. Specifically, physical activity enhances muscular and osseous strength, improves cardiorespiratory fitness, and reduces the risk of hypertension, coronary heart disease, stroke, type 2 diabetes, mental health disorders, cognitive decline and several cancers. Despite these well-known benefits, physical activity promotion in clinical practice is underused due to insufficient training during medical education. Medical trainees in the USA receive relatively few hours of instruction in sports and...
Source: British Journal of Sports Medicine - March 17, 2022 Category: Sports Medicine Authors: Asif, I., Thornton, J. S., Carek, S., Miles, C., Nayak, M., Novak, M., Stovak, M., Zaremski, J. L., Drezner, J. Tags: Editor's choice, BJSM Consensus statement Source Type: research
Associations between short-term ambient ozone exposure and cause-specific mortality in rural and urban areas of Jiangsu, China
Environ Res. 2022 Mar 12;211:113098. doi: 10.1016/j.envres.2022.113098. Online ahead of print.ABSTRACTMost previous studies on the acute health effects of ozone are limited to urban areas, largely due to the paucity of air pollutant measurements in rural areas. We here estimated the county-specific daily maximum 8-h average ozone concentration in Jiangsu Province, China during 2015-2018, using a recently developed spatiotemporal machine learning model at a spatial resolution of 0.1° × 0.1° (∼11 × 11 km). Counties were equally divided into urban and rural groups based on the median of the percentage of urban residents...
Source: Environmental Research - March 15, 2022 Category: Environmental Health Authors: Chengyi Lin Yiqun Ma Riyang Liu Yanchuan Shao Zongwei Ma Lian Zhou Yuanshu Jing Michelle L Bell Kai Chen Source Type: research
New Janssen Initiative Aims to Advance Equitable Care and Address Hidden Threat of Amputation Related to Peripheral Artery Disease (PAD)
TITUSVILLE, N.J., March 31, 2022 – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced the launch of Save Legs. Change Lives.™ Spot Peripheral Artery Disease Now, a multi-year initiative aimed at creating urgency and action to address the hidden threat of peripheral artery disease (PAD)-related amputation, with an initial focus on reaching Black Americans, who are more than twice as likely to be impacted by PAD.1 Janssen has joined forces with leading professional associations, healthcare systems and community organizations to advance equitable care for individuals and communities placed at an...
Source: Johnson and Johnson - March 31, 2022 Category: Pharmaceuticals Tags: Innovation Source Type: news
Ensemble-AHTPpred: A Robust Ensemble Machine Learning Model Integrated With a New Composite Feature for Identifying Antihypertensive Peptides
Hypertension or elevated blood pressure is a serious medical condition that significantly increases the risks of cardiovascular disease, heart disease, diabetes, stroke, kidney disease, and other health problems, that affect people worldwide. Thus, hypertension is one of the major global causes of premature death. Regarding the prevention and treatment of hypertension with no or few side effects, antihypertensive peptides (AHTPs) obtained from natural sources might be useful as nutraceuticals. Therefore, the search for alternative/novel AHTPs in food or natural sources has received much attention, as AHTPs may be functiona...
Source: Frontiers in Genetics - April 28, 2022 Category: Genetics & Stem Cells Source Type: research
The New Era of Retinal Imaging in Hypertensive Patients
Structural and functional alterations in the microcirculation by systemic hypertension can cause significant organ damage at the eye, heart, brain, and kidneys. As the retina is the only tissue in the body that allows direct imaging of small vessels, the relationship of hypertensive retinopathy signs with development of disease states in other organs have been extensively studied; large-scale epidemiological studies using fundus photography and advanced semi-automated analysis software have reported the association of retinopathy signs with hypertensive end-organ damage includes the following: stroke, dementia, and coronar...
Source: Asia-Pacific Journal of Ophthalmology - March 1, 2022 Category: Opthalmology Tags: Review Article Source Type: research
Sensors, Vol. 22, Pages 4310: Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
In this study, we aimed at diagnosing CVD using a novel approach integrating information from retinal images and DXA data. We considered an adult Qatari cohort of 500 participants from Qatar Biobank (QBB) with an equal number of participants from the CVD and the control groups. We designed a case-control study with a novel multi-modal (combining data from multiple modalities—DXA and retinal images)—to propose a deep learning (DL)-based technique to distinguish the CVD group from the control group. Uni-modal models based on retinal images and DXA data achieved 75.6% and 77.4% accuracy, respective...
Source: Sensors - June 7, 2022 Category: Biotechnology Authors: Hamada R. H. Al-Absi Mohammad Tariqul Islam Mahmoud Ahmed Refaee Muhammad E. H. Chowdhury Tanvir Alam Tags: Article Source Type: research
AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement
Insomnia is a common public health problem and an open biomedical research topic. Insomnia results in various health problems, including memory decline, decreases concentration and weakens problem-solving ability. The insufficient sleep also leads to skin ageing, heart disease, high blood pressure, arrhythmia and stroke. While it remains as a global health concern, sleep quality improvement using modern technologies, such as machine learning, classification technologies, virtual reality (VR), becomes an open and hot research problem. These modern technologies offer new curing solutions under certain conditions. In this pap...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - June 14, 2022 Category: Neuroscience Source Type: research
Clinical code usage in UK general practice: a cohort study exploring 18 conditions over 14 years
Conclusions
This is an under-reported research area and the findings suggest the codes’ usage diversity for most conditions remained overall stable throughout the study period. Generated mental health code lists can last for a long time unlike cardiometabolic conditions and cancer. Adopting more consistent and less diverse coding would help improve data quality in primary care. Future research is needed following the transfer to the Systematised Nomenclature of Medicine Clinical Terms (SNOMED CT) coding.
Source: BMJ Open - July 25, 2022 Category: General Medicine Authors: Zghebi, S. S., Reeves, D., Grigoroglou, C., McMillan, B., Ashcroft, D. M., Parisi, R., Kontopantelis, E. Tags: Open access, General practice / Family practice Source Type: research
Daily Multivitamins Linked to Improved Cognition in Older People
Taking a daily multivitamin may improve cognitive function in older people, astudy inAlzheimer ’s& Dementia has found. Taking a cocoa supplement, however, does not appear to slow cognitive decline.“There is an urgent need to identify effective strategies to preserve cognitive function to mitigate the heavy societal burden associated with Alzheimer’s disease and related dementia, which affect more than 46 million people worldwide,” wrote Laura D. Baker, Ph.D., of Wake Forest University S chool of Medicine and colleagues. Cocoa extract is rich in compounds called flavanols, and previous small studies suggest that...
Source: Psychiatr News - September 16, 2022 Category: Psychiatry Tags: Alzheimer ' s & Dementia cardiovacsular disease cocoa extract cognitive decline COSMOS-Mind multivitamin Source Type: research
Rapid lipid-laden plaque identification in intravascular optical coherence tomography imaging based on time-series deep learning
ConclusionsThese encouraging results suggest that this method will allow for high throughput video-rate atherosclerotic plaque assessment through automated tissue characterization for in vivo imaging by providing faster screening to assist in guided decision making during percutaneous coronary interventions.PMID:36307914 | DOI:10.1117/1.JBO.27.10.106006
Source: Atherosclerosis - October 29, 2022 Category: Cardiology Authors: Jose J Rico-Jimenez Javier A Jo Source Type: research
Sensors, Vol. 23, Pages 1161: Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction
In this study, a supervised ML-based methodology is presented through which we aim to design efficient prediction models for CVD manifestation, highlighting the SMOTE technique’s superiority. Detailed analysis and understanding of risk factors are shown to explore their importance and contribution to CVD prediction. These factors are fed as input features to a plethora of ML models, which are trained and tested to identify the most appropriate for our objective under a binary classification problem with a uniform class probability distribution. Various ML models were evaluated after the use or non-use of Synt...
Source: Sensors - January 19, 2023 Category: Biotechnology Authors: Elias Dritsas Maria Trigka Tags: Article Source Type: research
The U.S. Still Doesn ’ t Have Good COVID-19 Data. Here ’ s Why That ’ s a Problem
Check the COVID-19 Data Tracker from the U.S. Centers for Disease Control and Prevention (CDC), and you’ll get a rundown of the latest case numbers, hospitalizations, and deaths. Those categories might seem straightforward, but the data, say many experts, are telling us a lot less than we think they are.
That’s because it’s getting increasingly difficult to parse who is hospitalized or dies from COVID-19, and who is hospitalized or dies from another reason but with COVID-19. Across the U.S., “COVID-19 hospitalizations” represent all kinds of patients: those who need hospital-level care for sev...
Source: TIME: Health - January 30, 2023 Category: Consumer Health News Authors: Alice Park Tags: Uncategorized COVID-19 healthscienceclimate Source Type: news
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
