[HTML][HTML] Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review
Objectives Patient representation learning refers to learning a dense mathematical
representation of a patient that encodes meaningful information from Electronic Health …
representation of a patient that encodes meaningful information from Electronic Health …
Application of deep learning methods in biological networks
The increase in biological data and the formation of various biomolecule interaction
databases enable us to obtain diverse biological networks. These biological networks …
databases enable us to obtain diverse biological networks. These biological networks …
Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
Abstract We present the Danish Disease Trajectory Browser (DTB), a tool for exploring
almost 25 years of data from the Danish National Patient Register. In the dataset comprising …
almost 25 years of data from the Danish National Patient Register. In the dataset comprising …
Network expansion of genetic associations defines a pleiotropy map of human cell biology
I Barrio-Hernandez, J Schwartzentruber… - Nature Genetics, 2023 - nature.com
Interacting proteins tend to have similar functions, influencing the same organismal traits.
Interaction networks can be used to expand the list of candidate trait-associated genes from …
Interaction networks can be used to expand the list of candidate trait-associated genes from …
Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk
The analysis of longitudinal data from electronic health records (EHRs) has the potential to
improve clinical diagnoses and enable personalized medicine, motivating efforts to identify …
improve clinical diagnoses and enable personalized medicine, motivating efforts to identify …
Mapping phenotypic and aetiological associations between ADHD and physical conditions in adulthood in Sweden: a genetically informed register study
Background Emerging evidence suggests increased risk of several physical health
conditions in people with ADHD. Only a few physical conditions have been thoroughly …
conditions in people with ADHD. Only a few physical conditions have been thoroughly …
Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives
Disease trajectories, defined as sequential, directional disease associations, have become
an intense research field driven by the availability of electronic population-wide healthcare …
an intense research field driven by the availability of electronic population-wide healthcare …
Evaluating disease similarity based on gene network reconstruction and representation
Motivation Quantifying the associations between diseases is of great significance in
increasing our understanding of disease biology, improving disease diagnosis, re …
increasing our understanding of disease biology, improving disease diagnosis, re …
Digital twins for predictive, preventive personalized, and participatory treatment of immune-mediated diseases
M Benson - Arteriosclerosis, Thrombosis, and Vascular Biology, 2023 - Am Heart Assoc
Digital twins are computational models of complex systems, which aim to understand and
optimize those systems more effectively than would be possible in real life. Ideally, digital …
optimize those systems more effectively than would be possible in real life. Ideally, digital …
Progress and opportunities of foundation models in bioinformatics
Bioinformatics has undergone a paradigm shift in artificial intelligence (AI), particularly
through foundation models (FMs), which address longstanding challenges in bioinformatics …
through foundation models (FMs), which address longstanding challenges in bioinformatics …