What happened
Athelas makes Athelas Home, a cell counter that images a stained finger-prick sample on a test strip. Server software counts and classifies white cells by computer vision and sends the results to the patient's healthcare provider. Patients do not see the results. In an at-home study, 61 patients at risk of neutropenia or their caregivers ran the tests over 1 to 4 visits. They included patients on clozapine and on immunosuppressive cancer therapy. Trained operators made triplicate measurements on the predicate Athelas One. FDA reviewers report correlations of 0.97 for white-cell count and 0.95 for neutrophil percentage across 117 paired results, with slopes of 1.00. Over 94% of tests ran without errors. FDA cleared the device on 22 March 2022. Caregivers ran 22 of the 32 first-visit tests that were surveyed. The summary does not say whether the image algorithm learned from data.
Sources
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Regulatory document, by authors with no tie to the system.
A total of 61 patients (including patients with neutropenia, patients with autoimmune diseases, patients on immunosuppressive oncology therapy and patients on clozapine) were enrolled in the study, 1–4 visits per patient. Patients (untrained operators) were instructed to conduct tests on the Athelas Home following the labeling process.
Details
AI system
- Workflow
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A finger-prick sample filled a test strip pre-coated with methylene blue and cresyl violet stains. Images were sent to a server and analyzed by a locked image processing algorithm.
Follow-up
- Conditions for replication
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The user is an adult aged 21 or older at risk of neutropenia, and the treating physician judges whether the patient can run the test. A healthcare provider evaluates every result.
Entry details
- Sector
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Healthcare.
- Purpose
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Athelas built Athelas Home so that patients at risk of neutropenia and their caregivers can measure white-cell counts and neutrophil percentages at home, with results sent to a healthcare provider.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). Athelas Home let patients run white-cell counts at home (AIBD-0807). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0807.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)