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Condition: Liver Disease
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Total 16 results found since Jan 2013.
Deep-learning CT model effective for detecting head abnormalities
A deep-learning CT model can detect head abnormalities in 17 different regions...Read more on AuntMinnie.comRelated Reading:
Deep learning plus CT helps guide head and neck cancer treatment
Using AI with prior LDCT exams improves lung nodule risk assessment
Can AI body composition analysis predict mortality risk on LDCT?
AI plus CT improves cirrhosis prediction in liver disease patients
CT radiomics can help in predicting outcomes in stroke patients
Source: AuntMinnie.com Headlines - August 22, 2023 Category: Radiology Source Type: news
Integrated bioinformatics and machine-learning screening for immune-related genes in diagnosing non-alcoholic fatty liver disease with ischemic stroke and RRS1 pan-cancer analysis
ConclusionSix common candidate immune-related genes (PTGS2, FCGR1A, MMP9, VNN3, S100A12, and RRS1) of NAFLD and IS were identified, and a nomogram for diagnosing NAFLD with IS was established. RRS1 may serve as a candidate gene for predicting the prognosis of patients with cancer who have NAFLD complicated by IS, which could aid in their diagnosis and treatment.
Source: Frontiers in Immunology - April 5, 2023 Category: Allergy & Immunology Source Type: research
Straight from the heart: Mysterious lipids may predict cardiac problems better than cholesterol
Stephanie Blendermann, 65, had good reason to worry about heart disease. Three of her sisters died in their 40s or early 50s from heart attacks, and her father needed surgery to bypass clogged arteries. She also suffered from an autoimmune disorder that results in chronic inflammation and boosts the odds of developing cardiovascular illnesses. “I have an interesting medical chart,” says Blendermann, a real estate agent in Prior Lake, Minnesota.
Yet Blendermann’s routine lab results weren’t alarming. At checkups, her low-density lipoprotein (LDL), or “bad,” cholesterol hovered around the 100 milligrams-per-...
Source: Science of Aging Knowledge Environment - March 16, 2023 Category: Geriatrics Source Type: research
Risk factors for cardiovascular disease in patients with metabolic-associated fatty liver disease: a machine learning approach
CONCLUSION: A ML approach demonstrated high performance in identifying MAFLD patients with prevalent CVD based on the easy-to-obtain patient parameters.PMID:36371249 | DOI:10.1186/s12933-022-01672-9
Source: Atherosclerosis - November 12, 2022 Category: Cardiology Authors: Karolina Dro żdż Katarzyna Nabrdalik Hanna Kwiendacz Mirela Hendel Anna Olejarz Andrzej Tomasik Wojciech Bartman Jakub Nalepa Janusz Gumprecht Gregory Y H Lip Source Type: research
How will artificial intelligence affect diagnosis and treatment of liver disease?
Recent years have seen a dramatic increase in computational capacity and the volume of data stored which has fuelled progress in machine learning methodology. Increasing attention is turning towards the use of artificial intelligence (AI) in healthcare; AI is facilitating the diagnosis of several conditions, from atrial fibrillation to stroke, and the treatment of others, such as depression and anxiety. Hepatology could see significant change with the introduction of AI but there are important challenges to consider for ensuring successful integration and implementation.
Source: Digestive and Liver Disease - July 13, 2019 Category: Gastroenterology Authors: Christopher A. Lovejoy, Bruce Keogh, Mahiben Maruthappu Tags: Correspondence Source Type: research
Transcriptomic Analysis of Mecp2 Mutant Mice Reveals Differentially Expressed Genes and Altered Mechanisms in Both Blood and Brain
This study was carried out in accordance with the recommendations of National Animal Welfare Authority, Ireland. The protocol was approved by the Animal Ethical Committee Trinity College Dublin and HPRA.Author ContributionsAS performed the experiments and wrote the paper; KH provided assistance in the design and analysis of the RNAseq experiment; DT contributed to sample extraction and establishment of the colony; and DT and MG designed and supervised all the parts of the research and the writing of the manuscript.FundingThe study was funded by the Wellcome Trust Grant WT079408/C/06/Z issued to MG, and by an SFI FN Funded ...
Source: Frontiers in Psychiatry - April 29, 2019 Category: Psychiatry Source Type: research
Should You Take Aspirin Every Day? Here ’s What the Science Says
Aspirin is best known as an over-the-counter painkiller. But acetylsalicylic acid, as it’s called chemically, has many other health benefits, as well as side effects, in the body that have only become clear in recent years.
Here’s what the latest science says about the health benefits and side effects of aspirin, as well as which conditions it may treat and those it doesn’t appear to improve. (If you are taking aspirin for any reason other than for periodic pain relief, it’s best to consult with your doctor to confirm whether the benefits outweigh the risks in your particular case.)
How aspirin affe...
Source: TIME: Health - November 8, 2018 Category: Consumer Health News Authors: Alice Park Tags: Uncategorized Drugs healthytime Source Type: news
10 Ways to Keep Your Heart Healthy
No one ever had fun visiting the cardiologist. Regardless of how good the doc might be, it’s always a little scary thinking about the health of something as fundamental as the heart. But there are ways to take greater control—to ensure that your own heart health is the best it can be—even if you have a family history of cardiovascular disease.
Although 50% of cardiovascular-disease risk is genetic, the other 50% can be modified by how you live your life, according to Dr. Eugenia Gianos, director of Women’s Heart Health at Lenox Hill Hospital in New York City. “This means you can greatly ...
Source: TIME: Health - October 17, 2018 Category: Consumer Health News Authors: Lisa Lombardi and Jamie Ducharme Tags: Uncategorized Baby Boomer Health heart health Source Type: news
Developing a New Score: How Machine Learning Improves Risk Prediction
Composite risk scores have been used for decades to identify disease risk and health status in the general population. However, current approaches often fail to identify people who would benefit from intervention or recommend unnecessary intervention. Machine learning promises to improve accuracy, ensuring targeted treatment for patients that need it and reducing unnecessary intervention.
Framingham Risk Score, the gold standard for predicting the likelihood of heart disease, predicts hospitalizations with about 56% accuracy. It uses factors such as age, gender, smoking, cholesterol levels, and systolic blood pressure to...
Source: MDDI - November 17, 2017 Category: Medical Devices Authors: Heather R. Johnson Tags: R & D Source Type: news
Nanomaterials Versus Ambient Ultrafine Particles: An Opportunity to Exchange Toxicology Knowledge
Conclusion:
There is now an opportunity to apply knowledge from NM toxicology and use it to better inform PM health risk research and vice versa. https://doi.org/10.1289/EHP424
Received: 17 December 2015
Revised: 12 August 2016
Accepted: 30 August 2016
Published: 10 October 2017
Address correspondence to V. Stone, School of Life Sciences, Heriot-Watt University, Edinburgh, UK. Telephone: +44 131 451 3460. Email: v.stone@hw.ac.uk
V.S. currently receives grant funding from Byk Altana and from The European Ceramic Fibre Industry Association (ECFIA).
In the past, V.S. has received funding from Unilever and GlaxoSmithKline....
Source: EHP Research - October 10, 2017 Category: Environmental Health Authors: Daniil Lyalko Tags: Review Source Type: research
A machine learning approach to measure and monitor physical activity in children
Publication date: 8 March 2017 Source:Neurocomputing, Volume 228 Author(s): Paul Fergus, Abir J. Hussain, John Hearty, Stuart Fairclough, Lynne Boddy, Kelly Mackintosh, Gareth Stratton, Nicky Ridgers, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Jenet Lunn The growing trend of obesity and overweight worldwide has reached epidemic proportions with one third of the global population now considered obese. This is having a significant medical impact on children and adults who are at risk of developing osteoarthritis, coronary heart disease and stroke, type 2 diabetes, cancers, respiratory problems, and non-alcoholic fatty liver disease...
Source: Neurocomputing - January 16, 2017 Category: Neuroscience Source Type: research
Diabetes drug pioglitazone could get personal: Neither panacea, nor peril
When I was in training, one of my beloved mentors declared, “I never use a drug until it’s been on the market for 20 years.” I was young enough then that I couldn’t fathom being a doctor for 20 years, let alone waiting two decades to use a new drug. As my career has progressed, I’ve seen many new drugs released to the market. Some of them are truly miraculous, bringing people longer, healthier, and more productive lives. Many of them have not withstood the test of time. More than a few have even been taken off the market. Even though the Food and Drug Administration diligently reviews each new medicine before it...
Source: New Harvard Health Information - May 5, 2016 Category: Consumer Health News Authors: Lori Wiviott Tishler, MD, MPH Tags: Diabetes Drugs and Supplements pioglitazone thiazolidinediones Source Type: news
Visceral Fat Triggers Heart Disease
I tell my patients to avoid drinking soda not just because they make you fat.
Each sip of soda affects your health.
Soda puts you at risk for health problems like metabolic syndrome. This is a collection of symptoms that can lead to diabetes, heart disease and other chronic diseases, like cancer.
Soft drinks are the beverage of choice for millions of Americans.
The latest research now reveals that sodas are a major cause of visceral fat — the deadliest kind of fat you can have, inflaming your tissues, rotting your blood vessels and upsetting your body chemistry.
In a minute I’m going to tell you about a great healthy ...
Source: Al Sears, MD Natural Remedies - February 29, 2016 Category: Complementary Medicine Authors: Al Sears Tags: Heart Health heart disease metabolic syndrome Visceral Fat Source Type: news
