Search
Search Results
-
A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease
Identification of individuals at highest risk of coronary artery disease (CAD)—ideally before onset—remains an important public health need. Prior...
-
Multi-risk factors joint prediction model for risk prediction of retinopathy of prematurity
PurposeRetinopathy of prematurity (ROP) is a retinal vascular proliferative disease common in low birth weight and premature infants and is one of...
-
Polygenic risk scores for disease risk prediction in Africa: current challenges and future directions
Early identification of genetic risk factors for complex diseases can enable timely interventions and prevent serious outcomes, including mortality....
-
Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction
Restless legs syndrome (RLS) affects up to 10% of older adults. Their healthcare is impeded by delayed diagnosis and insufficient treatment. To...
-
Associations between genetically predicted plasma protein levels and Alzheimer’s disease risk: a study using genetic prediction models
BackgroundSpecific peripheral proteins have been implicated to play an important role in the development of Alzheimer’s disease (AD). However, the...
-
Genetic risk prediction in Hispanics/Latinos: milestones, challenges, and social-ethical considerations
Genome-wide association studies (GWAS) have allowed the identification of disease-associated variants, which can be leveraged to build polygenic...
-
Addition of inflammation-related biomarkers to the CAIDE model for risk prediction of all-cause dementia, Alzheimer’s disease and vascular dementia in a prospective study
BackgroundIt is of interest whether inflammatory biomarkers can improve dementia prediction models, such as the widely used Cardiovascular Risk...
-
Multipredictor risk models for predicting individual risk of Alzheimer’s disease
BackgroundEarly prevention of Alzheimer’s disease (AD) is a feasible way to delay AD onset and progression. Information on AD prediction at the...
-
Development and validation of a new algorithm for improved cardiovascular risk prediction
QRISK algorithms use data from millions of people to help clinicians identify individuals at high risk of cardiovascular disease (CVD). Here, we...
-
Computational Models in the Prediction of Alzheimer’s Disease and Dementia
There are multiple models for dementia and Alzheimer’s disease prediction that stem from a diverse background of research. Reviewing these models...
-
Ethical, legal, and social implications of genetic risk prediction for multifactorial disease: a narrative review identifying concerns about interpretation and use of polygenic scores
Advances in genomics have enabled the development of polygenic scores (PGS), sometimes called polygenic risk scores, in the context of...
-
Regulating cancer risk prediction: legal considerations and stakeholder perspectives on the Canadian context
Risk prediction models hold great promise to reduce the impact of cancer in society through advanced warning of risk and improved preventative...
-
Cardiac disease prediction using AI algorithms with SelectKBest
Atherosclerotic cardiovascular disease (ASCVD), which includes coronary heart disease (CHD) and ischemic stroke, is the leading cause of mortality...
-
Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records
BackgroundEstablished prediction models of Diabetic kidney disease (DKD) are limited to the analysis of clinical research data or general population...
-
Prediction of esophageal cancer risk based on genetic variants and environmental risk factors in Chinese population
BackgroundResults regarding whether it is essential to incorporate genetic variants into risk prediction models for esophageal cancer (EC) are...
-
Enhancing prediction accuracy of coronary artery disease through machine learning-driven genomic variant selection
Machine learning (ML) methods are increasingly becoming crucial in genome-wide association studies for identifying key genetic variants or SNPs that...
-
Multiparameter prediction of myeloid neoplasia risk
The myeloid neoplasms encompass acute myeloid leukemia, myelodysplastic syndromes and myeloproliferative neoplasms. Most cases arise from the shared...
-
Optimizing clinico-genomic disease prediction across ancestries: a machine learning strategy with Pareto improvement
BackgroundAccurate prediction of an individual’s predisposition to diseases is vital for preventive medicine and early intervention. Various...
-
Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction
Atrial fibrillation (AF) is a common cardiac arrhythmia resulting in increased risk of stroke. Despite highly heritable etiology, our understanding...
-
Construction of a Prognostic Risk Prediction Model Based on m6A-Associated Long Non-Coding RNAs in Cholangiocarcinoma
AbstractTo screen long non-coding RNAs (lncRNAs) associated with the N6-methyladenosine (m6A) gene and create a prognostic risk model for...
