Why BeNiFIt matters
Today, biomarker analysis still depends heavily on drawing samples, processing them outside the body, and waiting for results. BeNiFIt asks whether the sensing event can be moved closer to where biomarkers actually circulate, and whether the resulting signal can be read from outside the body fast enough to make continuous or near-real-time monitoring plausible.
Project pillars
The project is organised around three tightly linked research pillars that connect biomarker dynamics, nanomachine design, and gateway-level interpretation.
In vivo sensing
Model how biomarkers and nanomachines move in the bloodstream, quantify the conditions for reliable detection, and study cooperative sensing to reduce false readings.
In to on body communication
Develop a near-field magnetic communication architecture that keeps the nanomachine footprint tiny, respects safety constraints, and relies on passive or near-zero-energy signalling.
System-level simulator
Build an open-source multi-scale simulator that joins sensing, channels, antennas, and gateway behaviour into one design-space exploration framework.
Core pathway
From biomarker event to external readout
BeNiFIt follows the full pathway rather than treating sensing and communication as isolated problems. The project starts with biomarker motion and biosensor interaction in blood, moves through sensing-enabled communication on the nanomachine, and ends at an on-body gateway that interprets the returned signal.
- Biomarkers circulate in a noisy blood environment
- Nanomachines detect target events with functionalized biosensors
- The sensing event alters the communication state of the nanomachine
- An on-body gateway interrogates and interprets the returned signal
- A multi-scale simulator helps compare designs and quantify tradeoffs
Open science and public engagement
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