Company: LNAI
Filing Date: 2025-02-19
Form Type: 10-Q
Source: 0001731122-25-000258
Chunk: 132

Company: Lunai Bioworks Inc.
Filing Date: 2025-02-19
Form: 10-Q
Item: Part I, Item 2
Chunk 132
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. The detailed diagnostic reports will allow and support insights for multiple disciplines such as cancer biology, genomics and pathology to look at underpinning biomarkers, pathways and clinical annotations.

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    Provides insight into patients who have had cancer previously. These insights will provide for more effective recurrence monitoring, which Renovaro Cube believes is important to the providers of care and patients during follow-up monitoring of remissions. Renovaro Cube anticipates that payers want to detect and re-treat recurrences at the earliest possible stage to maximize patients’ outcomes in terms of time and cost and that, similarly, patients with a recurrence are keen to re-engage with effective treatment at the earliest opportunity. A key aspect of this will be taking blood from the patients, sequencing this blood and running it through the Renovaro Cube platform which will identify if the patient has any indication of the recurrence of the same or a new cancer. For recurrence monitoring, Renovaro Cube will focus on a highly sensitive combination of lab and information technology. Lab protocols, sequence post processing and machine learning will all be designed, trained and validated to get the best signal with the highest sensitivity to catch early signals of recurrence. This will be done on a regular basis allowing surveillance analysis over time.

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    Includes biomarker panels that will be extended to include as many layers of genetic information (multi-omics) as possible including mutation, gene expression, methylation status, fragmentomics, nucleosome mapping, collectively named multi-omics, with the goal to reach the highest accuracy possible, both in terms of sensitivity and specificity of each individual biomarker panel. This provides a non-invasive alternative for the current complex, expensive and cumbersome procedures.

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    Create value through advancing more sophisticated typification of diseases in an effort to address some of the pressing problems faced by modern healthcare, including healthcare costs, an aging population and developments in medical technology that produce a stream of increasingly sophisticated treatments requiring more precise targeting.

One additional key focus of Renovaro
Cube is its multi-modal, data analysis. Multi-modal data encompasses the whole aspect of data from a patient perspective, whether genomics,
imaging, phenotypic or even wearable data, which can be cross analyzed to produce data that could not be previously produced. Renovaro
Cube intends to use multi-modal data to bring new insights to the clinical and research teams trying to understand what to do next with
the patient.

Renovaro Cube’s Technology
and Techniques 

Renovaro Cube is dedicated