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"Rarity Has an Inherent Value" - Single Cell Omics and Rare Cell Detection
In biology, rare cell populations often play a pivotal role in both normal function and disease. "Rare" refers to an infrequent population of cells, metabolites, and biomolecules that, despite their low abundance, drive critical biological phenomena.
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Building Biomedical Data & ML-ops Platform: From Collection to Discoveries
Life science research presents a series of hurdles from the moment you collect your data to the moment you gain meaningful insights. Biomedical data is messy, and complex, and comes in all shapes and sizes. Turning this data into groundbreaking discoveries takes some serious work, and each step has its own hurdles.
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Best Practices for Biomarker Discovery Using Transcriptomics Data
Molecular biomarkers have the potential to greatly enhance efficiency and precision in clinical decision-making. Common methods for deriving these biomarkers include feature selection, machine learning (ML), and statistical modeling.
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But protecting rights requires constant vigilance.
Due to the #Coronavirus #Pandemic citizens must again define #Privacy, this time in relation to #Biomedical and #Geolocated #Data. An article by Martin Eiermann on how we can protect our #Privacy and still contribute to #Public #Health. Foreign Affairs
