Collect with context
Document each air sample, its location, timing, flow, and operating conditions.
Connecting environmental intelligence, clinical research, and public health. Turning meaningful questions into evidence that matters.
Earlier signals.
Clearer evidence.
More informed decisions.
AmalLab ONE is a proposed environmental monitoring system that brings documented air sampling, edge AI, and laboratory verification into one traceable workflow.
The initial focus: healthcare facilities serving Hajj and Umrah pilgrims in Saudi Arabia. A focused pilot would test the quality of the evidence and its value to infection prevention teams.
Read the project overviewPDFDocument each air sample, its location, timing, flow, and operating conditions.
Use edge intelligence to assess measurement quality and identify changes from a site’s baseline.
Connect laboratory findings to specialist review and a traceable record of follow-up.
A research concept in development. Environmental signals support surveillance; they do not diagnose individuals or replace laboratory testing and specialist judgement.
A modular concept designed to keep the sample, the result, and the next action connected.
Portable air sampling, flow logging, and local processing.
Unique sample identity and secure sealing.
Charging, synchronisation, and sample handover.
Trends, laboratory results, permissions, and an audit trail.
A One Health perspective connects human, animal, plant, and marine environments. Each new application begins with evidence.
A proposed pilot in a medical-centre waiting area serving Umrah pilgrims, alongside a laboratory partner.
Future applications in accommodation, reception facilities, and indoor event spaces, after the initial use case is validated.
EXPLORE WHAT’S NEXTLonger-term pathways for water sampling and veterinary, agricultural, and aquatic settings, with specialist partners.
Haraka, A. B., Mehta, S. R., & Al-Rousan, T.
Read the publicationScientific Lead · AmalLab ONE
Amal Haraka brings together laboratory medicine, advanced clinical research, and population health.
With a Master of Advanced Studies in Clinical Research from UC San Diego, her work spans infectious disease immunogenetics, refugee and migrant health, mixed methods, and AI-assisted health research.
Explore the academic journeyMohammed Alsolami · Technology Lead
Edge AI, platform architecture, and data integration.