Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases
Polygenic risk scores (PRSs) are an emerging tool to predict the clinical phenotypes and
outcomes of individuals. We propose PRSmix, a framework that leverages the PRS corpus …
outcomes of individuals. We propose PRSmix, a framework that leverages the PRS corpus …
Advancing multimodal medical capabilities of Gemini
Many clinical tasks require an understanding of specialized data, such as medical images
and genomics, which is not typically found in general-purpose large multimodal models …
and genomics, which is not typically found in general-purpose large multimodal models …
Artificial Intelligence for Risk Assessment on Primary Prevention of Coronary Artery Disease
Abstract Purpose of Review Coronary artery disease (CAD) is a common and etiologically
complex disease worldwide. Current guidelines for primary prevention, or the prevention of …
complex disease worldwide. Current guidelines for primary prevention, or the prevention of …
MUSSEL: enhanced Bayesian polygenic risk prediction leveraging information across multiple ancestry groups
Polygenic risk scores (PRSs) are now showing promising predictive performance on a wide
variety of complex traits and diseases, but there exists a substantial performance gap across …
variety of complex traits and diseases, but there exists a substantial performance gap across …
Pharmacogenomic scores in psychiatry: Systematic review of existing evidence
NT Sharew, SR Clark, O Schubert, AT Amare - medRxiv, 2024 - medrxiv.org
In the past two decades, significant progress has been made in the development of
polygenic scores (PGSs). One specific application of PGSs is the development and potential …
polygenic scores (PGSs). One specific application of PGSs is the development and potential …
Machine learning and phylogenetic analysis allow for predicting antibiotic resistance in M. tuberculosis
A Yurtseven, S Buyanova, AA Agrawal… - BMC microbiology, 2023 - Springer
Background Antimicrobial resistance (AMR) poses a significant global health threat, and an
accurate prediction of bacterial resistance patterns is critical for effective treatment and …
accurate prediction of bacterial resistance patterns is critical for effective treatment and …
Using Machine Learning to Evaluate the Value of Genetic Liabilities in the Classification of Hypertension within the UK Biobank
G MacCarthy, R Pazoki - Journal of Clinical Medicine, 2024 - mdpi.com
Background and Objective: Hypertension increases the risk of cardiovascular diseases
(CVD) such as stroke, heart attack, heart failure, and kidney disease, contributing to global …
(CVD) such as stroke, heart attack, heart failure, and kidney disease, contributing to global …
Evaluation of polygenic scoring methods in five biobanks reveals greater variability between biobanks than between methods and highlights benefits of ensemble …
Methods to estimate polygenic scores (PGS) from genome-wide association studies are
increasingly utilized. However, independent method evaluation is lacking, and method 15 …
increasingly utilized. However, independent method evaluation is lacking, and method 15 …
Prediction of antidepressant side effects in the Genetic Link to Anxiety and Depression Study
Antidepressants are the most common treatment for moderate or severe depression. Side
effects are crucial indicators for antidepressants, but their expression varies widely among …
effects are crucial indicators for antidepressants, but their expression varies widely among …
Educational attainment polygenic risk score and symptom severity change after Internet-delivered cognitive behaviour therapy for depression and anxiety
Depressive and anxiety disorders are among the leading causes of disability worldwide.
Therapist-guided, Internet-delivered cognitive behaviour therapy (ICBT) is an established …
Therapist-guided, Internet-delivered cognitive behaviour therapy (ICBT) is an established …