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Health & Science5h 28m ago
A computational framework coupling kinetic modeling with machine learning maps community dynamics to input concentrations, enabling quantitative inference in microbial communities with low or high sensor crosstalk, indirect responses, and pooled hospital sink water spiked with target analytes.
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hospital sink water
Who
authors
What
A computational framework coupling kinetic modeling with machine learning maps community dynamics to input concentrations, enabling quantitative inference in microbial communities with low or high sensor crosstalk, indirect responses, and pooled hospital sink water spiked with target analytes.
When
Sat, 18 Jul 2026 13:56:56 GMT · 5h 28m ago
Where
hospital sink water ·
Why
To infer multiplexed concentrations without eliminating crosstalk between engineered biosensors by distributing sensing across a microbial community and decoding its time-resolved collective response.
The Frontline Impact
How this affects you
This approach broadens the range of biological systems usable for multiplexed measurement by tolerating non-orthogonal, cross-reactive, and indirect responses, provided input combinations produce reproducible, distinguishable response trajectories.
Story chain
2 events in this thread- Health & Science5h 28m agoEngineered biosensors distribute sensing across a microbial community and use time-resolved modeling and machine learning to infer multiple chemical concentrations from cross-reactive and indirect responses.Open article
- Currently Reading5h 28m agoA computational framework coupling kinetic modeling with machine learning maps community dynamics to input concentrations, enabling quantitative inference in microbial communities with low or high sensor crosstalk, indirect responses, and pooled hospital sink water spiked with target analytes.