Polygenic risk scores (PRSs) have been widely explored in precision medicine. However,
few studies have thoroughly investigated their best practices in global populations across …

Purpose The use of patient race in medicine is controversial for its potential either to
exacerbate or address health disparities. Polygenic risk scores (PRS) have emerged as a …

The purpose of this study was to examine possible pathways by which genetic risk
associated with externalizing is transmitted in families. We used molecular data to …

Polygenic scores (PGS) have limited portability across different groupings of individuals (eg,
by genetic ancestries and/or social determinants of health), preventing their equitable use …

Objective Describe how applying a shared decision making (SDM) lens to the
implementation of new technologies can improve patient-centeredness. Methods This paper …

Latin America is underrepresented in genetic studies, which can exacerbate disparities in
personalized genomic medicine. However, genetic data of thousands of Latin Americans are …

Machine learning (ML) techniques, in particular deep neural networks (DNNs), are
increasingly being developed to generate polygenic risk scores (PRSs) using electronic …

This thesis explores the use of data mining and AI-tailored frameworks for extracting public
health evidence from large health datasets. The research presented in this thesis …

Psychotic experiences and negative symptoms (PENS) reported in non-clinical populations
can be viewed as mild manifestations of clinical psychotic symptoms. PENS are reported …

Os GWAS (estudos de associação genômica em larga escala) têm propiciado a descoberta
de diversas variantes comuns associadas a diferentes fenótipos. Várias ferramentas foram …