Cvd

The goal of this waitlist control clinical trial is to learn if the tailored LEARN 2 platform can prevent HIV-related comorbidities with shared risk factors in men ages 18 and older living with HIV. The main question\[s\] are: 1. Can the virtual environment improve quality of life among these participants? 2. Does the LEARN 2 platform effectively serve as prevention education for HIV comorbidity shared risk factors? Researchers will compare participants receiving the LEARN2 virtual environment intervention to those in a waitlist control group to see if the intervention leads to improvements in quality of life and reductions in risk factors. Participants will be asked to: 1. Engage with the virtual environment weekly. 2. Participate in virtual live health educator sessions. 3. Complete daily assessments of personal health behaviors through Ecological Momentary Assessment.

The investigators propose a prospective, longitudinal, observational study to improve health assessment by analyzing blood plasma molecular patterns in each individual over time using artificial intelligence (AI) to identify key measurements for early detection of NCDs. It will develop personalized reference ranges and screening methods, laying the foundation for population-based early detection. This study focus on collecting health data and biospecimen samples to understand early molecular changes linked to disease.

Cardiovascular disease (CVD) is one of the prominent diseases that affect many people. One cost-effective solution is to identify people at higher risk of CVD by CVD risk prediction model. China-PAR, TRS-2P, and SMART2 are common risk prediction models for prevention. However, these risk scores were mostly based on the routinely self-check health information and multivariable regression without time-varying consideration. Investigators developed a Machine Learning (ML) based risk prediction model, Personalized CARdiovascular DIsease risk Assessment for Chinese (P-CARDIAC) among a predominantly Chinese population in Hong Kong to estimates the 10 years of secondary recurrent CVD risk for the high-risk individuals. The study objective is to evaluate the accuracy of the P-CARDIAC performance in practice among a large-scale Hong Kong population in medicine specialist outpatient clinic (SOPC) and cardiac clinic. The results will reassure cardiologists that the P-CARDIAC risk score is sensitive to the heart disease symptoms. Investigators anticipate that the results may help to facilitate P-CARDIAC in clinical setting and provide more practical information with the development of P-CARDIAC.

The specific objectives and methods of this project are: (1) To test the feasibility and accuracy of integrating EEG, MECG and EMG for detecting the severity of diseases such as aortic stenosis, heart failure and ischemic stroke. (2) Improve the accuracy of this multi-channel brain-heart-muscle device by using an artificial intelligence auxiliary system. (3) Provide tailor-made interdisciplinary treatment strategies for patients with different disease states.

Diabetic patients have an excess risk of mortality due to cardiovascular diseases (CVD) compared to non-diabetics. Cardiovascular disease mortality rate is reportedly on the rise in several countries in the region, including urban China, Malaysia, Korea and Taiwan. Cardiovascular diseases and stroke are always the number 2 and 3 killers for Taiwanese population in recent years, and they really cost much from our medical resource. For treating dyslipidemia, one of the major risk factor for CVD, statins have been well documented to reduce CV deaths both for primary and secondary prevention in several large-scale trials. It has been reported that the clinical benefits of treating dyslipidemia in patients with diabetes mellitus should be at least equivalent to the benefits observed among those with cardiovascular disease. A meta-analysis of seven trials of statins found that treatment for about 5 years resulted in a 25% reduction in the combined outcome of coronary heart disease death and non-fatal myocardial infarction. Fibrates are another group of hypolipidemic drugs that regulate lipid metabolism and are used quite often in daily practice for diabetic dyslipidemia, because of its beneficial effect to reduce high TG and increase low HDL-C, which are the characteristic lipid abnormalities commonly seen in the patients with diabetes or metabolic syndrome. However, in recently published FIELD study, fenofibrate did not significantly reduce the risk of the primary outcome of coronary events in 9,795 participants with type 2 diabetes mellitus. The higher rate of starting statin therapy in patients allocated placebo might have masked a moderately larger treatment benefit. Furthermore, all the treatment trials to back up the lipid treatment guideline were conducted in Caucasians and no data about the combination therapy with fibrate and statin was published before.