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All832Trusted Research Environment69Technology453Industry210Announcements69Opinion26
90 articles · page 2 of 8
Dynamic consent in biobanking is a digital, ongoing model of consent in which participants use a secure online interface to see how their samples and…
Health research metadata standards are shared vocabularies for describing datasets so that researchers can find them, judge whether they fit a study…
A computable phenotype is a precise, machine-executable definition of a clinical condition or characteristic, such as "adults with type 2 diabetes"…
Health data quality is measured by testing real-world data against defined dimensions, most commonly conformance, completeness, and plausibility, and…
k-anonymity, l-diversity, and t-closeness are three privacy models for de-identifying health data. k-anonymity makes every record indistinguishable…
Population-scale proteomics needs data infrastructure that can store and version protein measurements for hundreds of thousands of people, harmonize…
Single-cell and spatial omics data belong in a Trusted Research Environment (TRE) because the files are both identifying and enormous: sequencing…
Pharmacogenomics research data links genetic variation to how people respond to medicines, combining genotypes for drug-metabolizing genes with…
A polygenic risk score (PRS) sums the small effects of many genetic variants into a single estimate of a person's inherited predisposition to a…
Privacy-enhancing technologies (PETs) for health data are techniques that let organizations analyze sensitive records while limiting what any party…
Homomorphic encryption is a form of encryption that lets a computer perform calculations on encrypted data and produce an encrypted result that, once…
Confidential computing protects health data while it is being processed by running the computation inside a hardware-isolated trusted execution…
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