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2026 · Analytical chemistry · paywalled

Prolonging Sample Stability with Machine Learning Expands the Catalog of Tests Available for Mail-In Capillary Blood Collected At-Home

O'Meara et al.

The finding, in our words

A machine learning model called Remote Control was trained on 2685 blood samples to predict change due to instability, enabling accurate calibration of results to approximate the time zero value at collection. With calibration, unprocessed whole blood could be transported for up to 9 days under ambient conditions and temperatures between 3.4 and 47.4 degrees Celsius, achieving agreement with CLIA TEa between 98.1 and 100 per cent and expanding the catalog of tests available for at-home collection.

A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.

Read the source ↗DOI 10.1021/acs.analchem.5c05338PubMed 41729727

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Papers that share these labels

  1. 2026

    Self-collected capillary blood samples posted by standard mail showed high concordance with couriered venous samples for HbA1c, creatinine and lipid parameters, supporting their use for remote monitoring in diabetes management and screening.

    Concordance of HbA1c, creatinine, LDL cholesterol, HDL cholesterol, and total cholesterol between venous and self-collected capillary blood samples sent by mail — Hoffmeister et al., Journal of diabetes investigation · source ↗

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  2. 2026

    This developer study reports that a self-collection kit interfacing with a BD Microtainer produced RNA of sufficient quality and yield for transcriptomic analysis in a pilot group and a longitudinal rheumatology cohort. Most participants found the device easy to use, supporting its utility for decentralised blood sampling.

    To the homeRNAmax: Developing an Improved Blood Self-Collection and Stabilization Platform for Remote Transcriptomic Studies — Eakman et al., Analytical chemistry (paywalled) · source ↗

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  3. 2025

    Plasma lipidomes from self-collected upper-arm capillary blood were statistically indistinguishable from paired venous plasma, most classes at r=0.95–0.99, validating at-home capillary self-collection for lipidomics.

    Comparison of capillary and venous plasma lipidomes: validation of self-collected blood for plasma lipidomics — Hameed et al., J. Lipid Research · source ↗

    • venous-agreement
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    • liquid
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  4. 2025

    Targeted proteomic evaluation of a novel finger-prick dried plasma device demonstrated strong quantitative correlation with conventional plasma (R = 0.99) and precision under 10% CV for 80% of quantified peptides across healthy donors. Quantified targets also remained stable during room temperature storage for up to 232 days, supporting its use for decentralised biomarker monitoring.

    Quantitative Assessment of a Novel Device Designed for Patient-centric Sampling of Dried Plasma Using Targeted Proteomics — Hober et al., Analytical chemistry · source ↗

    • blood
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  5. 2024

    In at-home and trial settings, a wet capillary device reliably collected a median ~450 µL with a 4.4% failure rate; 88% of adults preferred self-collection over venipuncture, with lower pain.

    Feasibility, acceptability and safety of a device for self-collecting capillary blood in clinical trials — Dasari et al., PLOS ONE · source ↗

    • dct
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    • capillary
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    • liquid
    • validation