A train-and-assist device that upskills novices to strengthen the workforce and expand diagnostic access.

Authors

Minkyo Lee, Xinyue Penny Pei, Si Hyung Jin, Natasha Shelby, Rani Gera, Alexander Viloria Winnett, Colin F Camerer, Mahbubur Rahman, Nils Pilotte, Steven A Williams, Rustem F Ismagilov

Published in

PNAS nexus. Volume 5. Issue 7. Pages pgag211. Epub Jul 07, 2026.

Abstract

AI and automation technologies are displacing millions of workers across industries in developed countries, while many developing nations continue to grapple with chronically high unemployment. Meanwhile, healthcare laboratories-particularly in resource-limited settings (including rural and community sites within high-income countries)-face acute shortages of trained staff and the high cost of molecular diagnostics. Here, we propose a "train-and-assist" class of devices that aims to both (i) upskill-rather than replace-workers and (ii) expand diagnostic capacity in a cost-effective way. We describe a device that trains and assists laboratory-inexperienced personnel to perform sample-pooling procedures, which enable high-performance molecular testing at lower costs and higher throughput. A 48-participant user study demonstrated that the device enabled both skill acquisition and high-accuracy pooling. A device-validation study using clinical stool specimens demonstrated that device-assisted pooling agreed 100% with individual assays for soil-transmitted helminths, which affect >1.5 billion people worldwide.

PMID:
42416918
Bibliographic data and abstract were imported from PubMed on 08 Jul 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.