Company: LNAI
Filing Date: 2025-02-19
Form Type: 10-Q/A
Source: 0001731122-25-000250
Chunk: 74

Company: Lunai Bioworks Inc.
Filing Date: 2025-02-19
Form: 10-Q/A
Chunk 74
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omarkers discovered across a diverse array of cancer types. This comprehensive repository empowers RenCube’s technology to swiftly
cross-reference biomarkers and explore molecular commonalities and distinctions that span multiple tumor categories.

Uses of RenCube’s AI Technology

RenCube’s AI platform will
be an enterprise software platform that is distinguished from its competitors’ technology by its core attributes encompassing AI-guided
analysis and meticulous record-keeping of data handling procedures within audit trails, logs, and data discoveries. RenCube is designing
this technology to support and validate every phase of the process, from the initial handling of raw data to the creation of essential
biomarker panels. RenCube’s AI platform may also facilitate the integration of data originating from diverse sources, including
public databases and collaborative partnership data.

AI-Assisted Diagnostics

The process of biomarker discovery
facilitated by RenCube’s AI technology has yielded a set of biomarkers that enables scrutiny of the genomic distinctions and commonalities
inherent in diverse cancer types. This biomarker set may support the diagnosis of cancers when their type or origin remains unidentified.

In addition to this role in biomarker
discovery and the development of diagnostic tests, RenCube’s AI technology will integrate AI-guided molecular profiling of patient
samples to generate diagnostic patient reports. These diagnostic reports reflect the outcomes of molecular profiling, coupled with interpretations
provided by RenCube’s team, to facilitate the process of cancer diagnostics by a qualified healthcare provider, who can consider
these reports in the context of a patient’s medical history, clinical signs, and symptoms, among other factors.

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Panel Mining

The unique panel mining technique
in RenCube’s technology repeatedly investigates genes to identify relevant biomarkers. The proprietary technique in RenCube’s
technology not only searches for individual biomarkers, but also integrates validated panels for different cancer types into the “Cube”
machine learning library. This process enables precision diagnosis, by including one cancer and excluding others on the basis of statistically,
scientifically and clinically validated machine-learning panels.

Explainable AI

The term “Explainable AI”
refers to the ability of an artificial intelligence system or model to provide human-understandable explanations for its decision-making
process or predictions. This feature aims to bridge the gap between the “black box” nature of many AI algorithms and the need
for transparency, interpretability, and accountability in AI applications.

RenCube believes that Explainable
AI is crucial for ensuring transparency, fairness,