Molecular Intelligence Platform

01

RNA & Molecular Recognition

Research problem: How can low-abundance molecular signals be recognized with enough specificity to support a meaningful experiment?
Role: Study RNA structures, aptamers and target-responsive molecular systems that can turn recognition events into observable signals.
Current stage: Research-stage method development informed by published RNA science.
Connection: Defines the molecular event that sensing hardware or optical readouts must capture, and the variables software must preserve.

Relevant primary sources

Collaborator researchn.d. · Accessed 2026

Unrau Lab: RNA imaging, detection and manipulation

Simon Fraser University

Current laboratory overview accessed in 2026; the page displays no publication date. It describes RNA Mango and related RNA research and is not a Geno10X performance record.

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Background science2016

Fluorophore ligand binding and complex stabilization of the RNA Mango and RNA Spinach aptamers

RNA Journal

Peer-reviewed background on fluorophore binding, fluorescence enhancement and structural differences between RNA Mango and RNA Spinach aptamers.

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Background science2024

Turn-on RNA Mango Beacons for trans-acting fluorogenic nucleic acid detection

RNA Journal / PubMed

Peer-reviewed background on trans-acting fluorogenic Mango Beacon designs that respond to target nucleic-acid sequences.

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02

Attomolar-Scale Rapid Sensing

Research problem: How can a low-abundance signal be distinguished from background within a bounded and reproducible workflow?
Role: Explore amplification, fluorogenic response and rapid sensor approaches while keeping every sensitivity figure attached to its original method.
Current stage: Research-stage sensing and analytical characterization; published attomolar results remain background scientific context.
Connection: Produces physical measurements that require quality controls, calibration and structured capture before computational analysis.

Relevant primary sources

Background science2019

RNA detection with high specificity and sensitivity using nested fluorogenic Mango NASBA

RNA Journal

Peer-reviewed scientific context reporting 2.5 aM RNA detection, approximately 1.5 RNA molecules per microlitre, under the published experimental method. This is not presented as Geno10X product performance.

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Background science2022

Ultrasensitive rapid cytokine sensors based on asymmetric geometry two-dimensional MoS2 diodes

Nature Communications

Peer-reviewed background on an aptamer-functionalized rapid cytokine sensor. Its reported findings belong to that study, not to a Geno10X product.

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Collaborator research2023

Using the body’s smallest clues to detect disease

Simon Fraser University

SFU overview of collaborator research on ultrasensitive, rapid cytokine sensors. It is contextual research and is not presented as Geno10X product performance.

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03

AI & Algorithmic Modelling

Research problem: How should experimental signals be organized and compared without turning uncertainty into unsupported conclusions?
Role: Develop research methods for feature extraction, pattern analysis, quality review and transparent risk-model exploration.
Current stage: Research-stage model design; no autonomous patient prediction is offered through this site.
Connection: Consumes documented sensor outputs and returns reviewable research results to software workflows and human analysis.

Relevant primary sources

Geno10X collaboration2024

Innovate BC Awards $1.5M to Five Research & Development Projects Advancing Clean Tech and Life Sciences Solutions in British Columbia

Innovate BC

Official public announcement naming Geno10X Biosciences, Gene Bio Medical and Simon Fraser University researchers in an HPV point-of-care research collaboration, with a C$300,000 Ignite award.

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Public funding record2024

Development of sensor technology for ultrasensitive detection of HPV DNA

Natural Sciences and Engineering Research Council of Canada

Official NSERC funding record listing a separate C$225,000 Alliance project involving Simon Fraser University, Gene Bio Medical and Geno10X Biosciences.

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04

Software-Enabled Translation

Research problem: How can protocols, measurements and computations remain reproducible as a research program becomes more complex?
Role: Connect versioned methods, controlled data transformations, review states and traceable research outputs in code.
Current stage: Research infrastructure supporting defined programs; it is not a medical service.
Connection: Preserves provenance across all three scientific layers and makes the next experiment easier to inspect, repeat and improve.

Relevant primary sources

Geno10X collaboration2024

Innovate BC Awards $1.5M to Five Research & Development Projects Advancing Clean Tech and Life Sciences Solutions in British Columbia

Innovate BC

Official public announcement naming Geno10X Biosciences, Gene Bio Medical and Simon Fraser University researchers in an HPV point-of-care research collaboration, with a C$300,000 Ignite award.

Open original source

Collaborator research2023

Using the body’s smallest clues to detect disease

Simon Fraser University

SFU overview of collaborator research on ultrasensitive, rapid cytokine sensors. It is contextual research and is not presented as Geno10X product performance.

Open original source