In-Person Poster Presentations will be held LIVE at the event venue.  Virtual Poster Presentations will be held LIVE ONLINE.  (In-Person and Virtual Attendees will participate in the Online Poster Sessions.)
Posters will be available in real-time only.  Posters will not be available on-demand.

Virtual Poster Presentation Session in Toucan, Wednesday, March 2 at 12:20 pm, PST 

Please join us for a virtual poster session - the link will be provided to attendees in the virtual conference session rooms. In this virtual poster session you will be able to interact live with each poster presenter and view and discuss their posters virtually.

P01: Polyurethane Membranes with Selective Permeability for Sensor Applications

Ajay Padsalgikar, DSM Biomedical
Polyurethanes can be tuned with their unique chemistry and microstructure to be selectively permeable or impermeable to different components. As an example, sensors for monitoring the level of glucose in the human body are dependent on the selectivity of permeation through a membrane enveloping the electro-chemical sensor. Here we look at a single, amphiphilic thermoplastic polyurethane (TPU) and its permeation properties as applicable as membranes in glucose monitoring sensors.

P02: Electrochemical Aptamer-Based Sensors for Molecular Measurements In Vivo and in Whole Blood
Alexandra Downs, Sandia National Laboratories
Electrochemical aptamer-based sensors utilize a binding induced change in electron transfer to measure target molecules in real time. These sensors have enabled molecular measurements both in undiluted biological samples and in the living body. This work explores how to improve measurement time resolution, miniaturize the sensors using nanoporous substrates, and improve the accuracy of measurements collected at physiological conditions.

P03: Measurement of Cervical Neuronal Signals Pre-to-Post Intravenous Lipopolysaccharide (LPS) Injection
Imanuel Lerman, University of California, San Diego
InflammaSense is developing the wearable SYNAPTIC- SEPSIS ENCODER "SYNAPTIC-SE" that enabled use of frequency-specific neural decoding algorithms to monitor cervical neural signaling in a human Lipopolysaccharide (LPS) intravenous injection Sepsis model. In this human Sepsis model, intravenous LPS injection induced elevated cytokine concentration levels that highly correlated to high frequency cervical neural firing. This work demonstrated human feasibility while plans are in place for an in-hospital Sepsis trial.

P04: Bringing Blood Potassium Monitoring into the Patients' Homes
Martin Hajnsek, Joanneum Research Forschungsgesellschaft mbH
We developed a potassium sensor in a test strip design for daily potassium monitoring at the patients' homes using a blood drop accessed by finger-pricking. The prototype of this sensor is based on specially developed single-use potassium test strips that use potentiometric potassium sensors containing haemolysis detection systems for safe use by the patients themselves. The required accuracy is ensured by a microfluidic design that enables a single-step user calibration.

P05: How to Build Trust with Responsible Data Management in Consumer-Facing Healthtech
Jordan Famularo, University of California, Berkeley
Until recently, sensor-enabled devices for health and wellness have been treated as largely neutral or positive for society. But healthtech's data practices have become controversial in consumer-facing contexts, where regulation is lax. Firms now face growing expectations about their social responsibility. Data management must be trustworthy-not just compliant-in order to be sustainable. This presentation clarifies some ways to build trust with data capture, synthesis, analysis, and sharing.

P06: ION Wearable: The First Discrete Continuous Alcohol Monitor Based on Enzymatic Catalysis
Peter Lamberg, Milo Sensors
ION is the first discreet wearable alcohol monitor. ION combines a patented non-invasive sensor technology integrated into the ION Wearable, together with the ION App to display results. Here we demonstrate how ION can outperform existing established technology.


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