Results 81 to 90 of about 1,104,938 (358)
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever+1 more
wiley +1 more source
Precision Medicine for Frontotemporal Dementia
Frontotemporal dementia (FTD) is a common young-onset dementia presenting with heterogeneous and distinct syndromes. It is characterized by progressive deficits in behavior, language, and executive function.
Mu-N Liu+8 more
doaj +1 more source
Simple and Scalable Algorithms for Cluster-Aware Precision Medicine [PDF]
AI-enabled precision medicine promises a transformational improvement in healthcare outcomes by enabling data-driven personalized diagnosis, prognosis, and treatment. However, the well-known "curse of dimensionality" and the clustered structure of biomedical data together interact to present a joint challenge in the high dimensional, limited ...
arxiv
Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings. [PDF]
In order to advance precision medicine, detailed clinical features ought to be described in a way that leverages current knowledge. Although data collected from biomedical research is expanding at an almost exponential rate, our ability to transform that
Baranzini, Sergio E+2 more
core
Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren+16 more
wiley +1 more source
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine
Traditional medicine typically applies one-size-fits-all treatment for the entire patient population whereas precision medicine develops tailored treatment schemes for different patient subgroups.
Levy, Phillip+4 more
core +1 more source
Precision medicine informatics [PDF]
This special issue on precision medicine informatics flowed from the AMIA 2015 Translational Bioinformatics Summit theme of “Accelerating Precision Medicine”1 and President Obama’s 2015 State of the Union call “to give all of us access to the personalized information we need to keep ourselves and our families healthier.”2 The goal is to focus on the ...
Elmer V. Bernstam+2 more
openaire +2 more sources
Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink+6 more
wiley +1 more source
Network modeling methods for precision medicine [PDF]
We discuss in this survey several network modeling methods and their applicability to precision medicine. We review several network centrality methods (degree centrality, closeness centrality, eccentricity centrality, betweenness centrality, and eigenvector-based prestige) and two systems controllability methods (minimum dominating sets and network ...
arxiv
How “precise” is precision medicine in hematology?
Massive parallel sequencing, the foundation of next generation sequencing (NGS), allows us to sequence the entire exome (the coding sequences of the genome) of leukemia or lymphoma cells, and can be combined with RNA-Seq to evaluate the transcriptome.
GAMBACORTI PASSERINI, CARLO+1 more
openaire +4 more sources