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Total 345 results found since Jan 2013.
Predicting The Onset Of Diabetes-Related Complications After A Diabetes Diagnosis With Machine Learning Algorithms
The burden of Diabetes has been ranked as the eighth cause in the ranking of causes of disability-adjusted life years (DALYs) all over the world [1,2], accounting for 2.8% of total DALYs and with an increase of more than 148% in 2019 as compared with the data obtained in 1990 [2]. Diabetes is one of the most significant factors increasing the risk of mortality, morbidity, and disability worldwide, and its economic burden demands new ways to curb diabetes healthcare expenditure [3]. Furthermore, people with diabetes are at greater risk of additionally suffering from cardiovascular diseases, such as heart attack or stroke [4...
Source: Diabetes Research and Clinical Practice - September 15, 2023 Category: Endocrinology Authors: Toni Mora, David Roche, Beatriz Rodr íguez-Sánchez Source Type: research
COVID-19 ’ s Impact on Heart Health Still Confounds Doctors
(ST. LOUIS) — Firefighter and paramedic Mike Camilleri once had no trouble hauling heavy gear up ladders. Now battling long COVID, he gingerly steps onto a treadmill to learn how his heart handles a simple walk.
“This is, like, not a tough-guy test so don’t fake it,” warned Beth Hughes, a physical therapist at Washington University in St. Louis.
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Somehow, a mild case of COVID-19 set off a chain reaction that eventually left Camilleri with dangerous blood pressure spikes, a heartbeat that raced with slight exertion, and episodes of intense chest pain...
Source: TIME: Health - August 10, 2023 Category: Consumer Health News Authors: Lauran Needgaard/ Associated Press Tags: Uncategorized COVID-19 healthscienceclimate wire Source Type: news
Development and validation of explainable machine-learning models for carotid atherosclerosis early screening
CONCLUSIONS: The ML models developed could provide good performance for CAS identification using routine health check-up indicators and could hopefully be applied in scenarios without ethnic and geographic heterogeneity for CAS prevention.PMID:37246225 | DOI:10.1186/s12967-023-04093-8
Source: Atherosclerosis - May 28, 2023 Category: Cardiology Authors: Ke Yun Tao He Shi Zhen Meihui Quan Xiaotao Yang Dongliang Man Shuang Zhang Wei Wang Xiaoxu Han Source Type: research
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine
ConclusionsThis study successfully developed a well-performing classification prediction model for dyslipidemia with MOPS, transforming the syndrome diagnosis problem in TCM into a prediction and classification problem in artificial intelligence. Patients with dyslipidemia of MOPS can be accurately recognized through limited information from patients. We also screened out significant diagnostic factors for composing diagnostic rules of dyslipidemia with MOPS. The study is an avant-garde attempt at introducing the deep-learning method into the research of TCM, which provides a useful reference for the extension of deep lear...
Source: Health Information Science and Systems - April 6, 2023 Category: Information Technology Source Type: research
ERLEADA ® (apalutamide), First-and-Only Next-Generation Androgen Receptor Inhibitor with Once-Daily, Single-Tablet Option, Now Available in the U.S.
HORSHAM, Pa., April 3, 2023 – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced the availability of an additional tablet strength of ERLEADA® (apalutamide) in the United States. The introduction of the 240mg tablet provides the first-and-only option for a once-daily, single-tablet Androgen Receptor Inhibitor (ARI) approved for the treatment of patients with non-metastatic castration-resistant prostate cancer (nmCRPC) and for the treatment of patients with metastatic castration-sensitive prostate cancer (mCSPC).With two strengths available, healthcare professionals will have the flexibility to...
Source: Johnson and Johnson - April 3, 2023 Category: Pharmaceuticals Tags: Latest News Source Type: news
Machine learning for the prediction of all-cause mortality in patients with sepsis-associated acute kidney injury during hospitalization
ConclusionsAfter selecting 15 crucial variables, a machine learning-based model for predicting the mortality of S-AKI patients was successfully established and the CatBoost model demonstrated best predictive performance.
Source: Frontiers in Immunology - April 3, 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
Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predict Complications in Mexican Diabetic Patients without Arterial Hypertension (National Nested Case-Control Study): Metformin and Elevated Normal Blood Pressure Are Risk Factors, and Obesity Is Protective
In conclusion, the results we have obtained show that artificial intelligence is a powerful and feasible tool to use for this type of study. However, we suggest that more studies be conducted to verify and elaborate upon our findings.PMID:36846513 | PMC:PMC9949947 | DOI:10.1155/2023/8898958
Source: Cancer Control - February 27, 2023 Category: Cancer & Oncology Authors: Sergio A Zaizar-Fregoso Agustin Lara-Esqueda Carlos M Hern ández-Suarez Josuel Delgado-Enciso Arturo Garcia-Nevares Luis M Canseco-Avila Jose Guzman-Esquivel Iram P Rodriguez-Sanchez Margarita L Martinez-Fierro Gabriel Ceja-Espiritu Hector Ochoa-D íaz-L Source Type: research
Modeling of COVID ‐19 death rate using various air pollutants: A multiple linear regression approach
AbstractAir pollution is a significant health risk, especially for vulnerable populations such as children, people with chronic illnesses, the elderly, and the economically and socially disadvantaged. Furthermore, air pollution has enormous social costs that we all bear in the form of premature deaths, low productivity, sick leave, and other strains on the healthcare system. The primary sources of air pollution are traffic, home fires, and industry. Measuring NO2 levels in air pollution reveals the extent of pollution caused by traffic, particularly diesel vehicles, which are the primary source of NO2. COVID-19 rates are r...
Source: Environmental Quality Management - February 23, 2023 Category: Environmental Health Authors: Kambhampati Teja,
Nirban Laskar,
Ruhul Amin Mozumder Tags: RESEARCH ARTICLE 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
What to Know if Your Doctor Put You on Statins to Lower Cholesterol
High cholesterol is a prime example of having too much of a good thing. Our bodies naturally make this substance in the liver and then transport it throughout the body for multiple functions, including hormone regulation, cell tissue regeneration, and vitamin absorption. When the system is working well, cholesterol can boost overall health. But when a certain type called low-density lipoprotein—LDL, sometimes dubbed the “bad” kind—is overproduced, not only does it block the “good” kind called high-density lipoprotein (HDL), but it can also begin to accumulate in the arteries and form thi...
Source: TIME: Health - January 25, 2023 Category: Consumer Health News Authors: Elizabeth Millard Tags: Uncategorized healthscienceclimate heart health Source Type: news
9 Ways to Squeeze in More Steps Every Day
Every day for the past decade, I’ve tried to dethrone the family walking champ: my 67-year-old dad. Despite my youthful advantage—he has more than 30 years on me, as he’s quick to point out—I haven’t logged more steps than him once. I find this to be both mortifying and a point of vicarious pride; his fitness is remarkable. It’s also excellent motivation to find creative ways to finally out-walk him.
My dad and I compete using our favorite pedometer app, which displays each day’s steps in a bar graph. (While we both wear Apple Watches, we like the app best for logging the entire da...
Source: TIME: Health - January 12, 2023 Category: Consumer Health News Authors: Angela Haupt Tags: Uncategorized Exercise & Fitness healthscienceclimate Source Type: news
Is Matrix Metalloproteinase-9 Associated with Post-Stroke Cognitive Impairment or Dementia?
CONCLUSIONS: MMP-9 level and MMP-9 rs3918242 polymorphism have an important role in the occurrence and development of post-stroke cognitive impairment or dementia (PSCID).PMID:36424752 | DOI:10.31083/j.jin2106160
Source: Journal of Integrative Neuroscience - November 25, 2022 Category: Neuroscience Authors: Jianhua Zhao Fangli Yang Xue Peng Qing Li Fan Wang Zhixiu Xu Ruiyan Cai Danxia Ji Jian Zhang Minghua Wang Qiong Li Sibei Ji Shaomin Li Source Type: research
