IPA’s subsidiary BioStrand Unveils Major Breakthrough in Life Sciences with Advanced Foundation AI Model Utilizing LLM Stacking and HYFT Technology

Rhea-AI Summary

IPA (IMMUNOPRECISE ANTIBODIES LTD.) announces the development of a Foundation AI Model, combining Large Language Models with BioStrand's HYFT Technology for advanced biological data analysis and drug discovery. The model integrates HYFT's unique 'fingerprints' in biological sequences with LLMs, enabling more accurate predictions and insights in protein language decoding.

Insights

Biotechnology Research Analyst

The introduction of BioStrand's Foundation AI Model represents a significant leap in the field of biotechnology, particularly in the domain of drug discovery and precision medicine. By integrating Large Language Models (LLMs) with HYFT Technology, the company has created an advanced tool capable of decoding the complex 'language' of proteins, which is essential for understanding protein structure and function. This innovation could lead to more efficient identification of drug targets and the development of novel therapeutics with higher specificity.

The HYFT technology's ability to define 'word boundaries' in protein sequences is akin to identifying functional domains within these molecules, which could revolutionize the way researchers approach protein engineering. The potential to reduce R&D timelines and costs is particularly noteworthy, as it addresses a critical challenge in the pharmaceutical industry, where the average cost of bringing a new drug to market can exceed $2.6 billion and take up to 10 years.

Healthcare Technology Analyst

From a technology standpoint, the application of LLM stacking in biological data analysis is an innovative approach that could enhance the accuracy of predictive models in biotechnology. This advancement underscores the growing intersection of AI and healthcare, where technologies like LLMs, traditionally used in Natural Language Processing, are being repurposed to interpret biological data with promising implications for the future of healthcare technology.

The integration of 25 billion relationships across 660 million data objects into a comprehensive knowledge graph signifies a substantial increase in the volume and complexity of data that can be analyzed. This could be transformative for personalized medicine, as it allows for a more nuanced understanding of the interplay between genetic factors and disease, leading to more tailored treatment options for patients.

Financial Analyst

For investors and stakeholders, the development of such an advanced AI model could signify a competitive advantage for BioStrand and its parent company, IPA. The ability to streamline drug discovery processes and enhance precision medicine could position the company as a leader in biotech innovation, potentially leading to an increase in its market value and attractiveness to investors. Furthermore, the technology's potential to reduce costs and accelerate timelines may lead to an improved ROI on R&D investments, a key metric for investors evaluating biotech companies.

However, the commercial success of this technology will depend on its adoption by the industry and the demonstration of tangible benefits in drug development outcomes. It will be important to monitor how BioStrand's technology performs in real-world applications and whether it leads to successful partnerships and licensing deals, which are critical revenue streams for biotech firms.

 Dirk Van Hyfte MD, PhD, Co-Founder and Head of Innovation of BioStrand, to present findings live next week at the HIMSS24 conference in Orlando, Florida

VICTORIA, British Columbia--(BUSINESS WIRE)-- IPA (IMMUNOPRECISE ANTIBODIES LTD.) (the “Company” or “IPA”) (NASDAQ: IPA), an artificial intelligence-driven biotherapeutic research and technology company, today announced the development of a Foundation AI Model that represents a significant advancement in life sciences research and development. The Company’s model uniquely combines the strengths of Large Language Models (LLMs) through an advanced stacking technique with BioStrand's patented HYFT Technology. The HYFT's ability to pinpoint unique 'fingerprints' in biological sequences enables the stacked LLMs to apply their vast knowledge base with greater specificity, leading to more accurate predictions and insights. This integration marks a pivotal moment in the utilization of artificial intelligence for complex biological data analysis and drug discovery.

Unveiling the Intricacies of HYFT Technology

Central to the success of BioStrand's Foundation AI Model is its utilization of its patented HYFT technology, a sophisticated framework designed to identify and leverage universal fingerprint™ patterns across the biosphere. These fingerprints act as critical anchor points, encompassing detailed information layers that bridge sequence data to structural data, functional information, bibliographic insights, and beyond, serving as the great connector between disparate realms of knowledge. BioStrand’s platform core is built upon a comprehensive and continuously expanding knowledge graph, mapping 25 billion relationships across 660 million data objects, and linking sequence, structural, and functional data from the entire biosphere to written text such as scientific literature, providing a holistic understanding of the relationships between genes, proteins, and biological pathways.

The seamless integration of HYFTs with stacked LLMs enables the BioStrand AI model to decode the complex language of proteins, unlocking insights crucial for antibody drug development and precision medicine.

Large Language Models (LLM), originally developed for Natural Language Processing (NLP), can also be applied on “the language of proteins” enabling insights into tasks including, but not limited to, protein structure prediction, antibody binding optimization, and protein mutagenesis.

To understand ‘the language of proteins’, it is essential to detect meaningful words and word boundaries. This is where the HYFTs serve as critical enablers. By harnessing HYFT's sophisticated computational capabilities, the previously abstract notion of identifying functional units or "words" in protein sequences is made tangible, allowing for precise mapping and analysis.

The Advanced Foundation AI model employs a distinctive approach known as "LLM stacking" to intelligently combine different LLMs, with the HYFTs linked to specific features found in various LLMs. Using a natural language analogy, this would mean one is able to distinguish the meaning of ‘apple’ based specifically on the context of the word, in other words, is the word “apple” referring to a type of fruit versus ‘Apple’, Silicon Valley pioneer. In a life sciences context, these features, for example, could include identification of critical amino acid residues involved in protein binding or detecting sequence variations associated with disease susceptibility. The sequence diversity harnessed by the HYFTs was discovered during the clustering of Next Generation Sequencing data sourced from IPA’s pipeline subsidiary, Talem Therapeutics, utilizing the HYFT network combined with LLM stacking. Through the incorporation of various features provided by LLM stacking in this study, it was possible to differentiate between binding and non-binding antibodies, even when they shared similar HYFT patterns.

Pioneering a New Frontier in Life Sciences

The concept of "word boundaries" within protein languages offers a groundbreaking approach to unlocking the complexities of protein structure and function, filling a void in the knowledge base of researchers and drug developers alike. By enabling precise identification and manipulation of functional units within proteins, this innovative methodology paves the way for advancements in drug discovery, protein-based therapeutics, and synthetic biology. It promises not only to accelerate the development of targeted treatments with higher efficacy and lower side effects but also to revolutionize protein engineering and design. This approach, leveraging cutting-edge computational models and analysis techniques, stands to significantly reduce research and development timelines and costs .

Advancing Drug Discovery and Precision Medicine - LENS^ai ™ Integrated Intelligence Technology™

This methodology revolutionizes biotechnology and pharmaceutical research by providing a robust framework for drug discovery, protein engineering, and the development of protein-based therapeutics. The HYFT technology’s application of "word boundaries" is particularly compelling, as it aims to significantly accelerate research and development processes. Through the facilitation of targeted treatments and the innovation of novel therapies, the HYFT technology offers a reduction in development timelines and costs .

By providing a comprehensive understanding of the complex relationships between genes, proteins, and biological pathways, the model paves the way for the development of targeted therapies and personalized treatment strategies.

Reaffirming BioStrand's Leadership in Biotech Innovation

"The development of our Foundation AI Model, powered by our unique 'LLM stacking' approach and patented HYFT technology, marks a significant milestone in the field of biotechnological research," stated Dirk Van Hyfte MD, PhD, Co-Founder and Head of Innovation of BioStrand. "This innovation not only expands the boundaries of current biotech research, but also establishes a new standard for the application of AI in solving complex biological challenges."

“As the global community recognizes the transformative potential of artificial intelligence in the life sciences,” Dr. Hyfte continued, “I am confident that BioStrand's Foundation AI Model will stand at the forefront of innovation and the future of AI-driven solutions in biology and drug discovery.”

A Future of Collaborative Discovery

In alignment with our mission to foster collaboration and innovation within the life sciences community, we are excited to announce that IPA's CEO, Dr. Jennifer Bath, will participate in the H.C. Wainwright 1st Annual Artificial Intelligence Based Drug Discovery & Development Virtual Conference today March 7^th, 2024. This participation underscores our commitment to leading the conversation on the future of AI-driven solutions in biology and medicine.

Additionally, we are thrilled to announce the participation of Dirk Van Hyfte MD, PhD, Co-Founder and Head of Innovation of BioStrand, alongside our esteemed technology partner, InterSystems, at this year's HIMSS®24 conference in Orlando, Florida. Together, we will be showcasing our latest advancements in the field of healthcare technology through InterSystems’s Innovator Introduction program.

Our presentation will focus on introducing our groundbreaking Universal Foundation AI Model for Multiscale Biological Data Integration.

We invite you to join us for our lightning pitch session, where we will delve into the capabilities and potential impact of our Universal Foundation AI Model. Also, we welcome you to engage in fruitful conversations at InterSystem's booth, #1361 at the HIMSS conference, March 12^th-14^th, 2024.

About ImmunoPrecise Antibodies Ltd.

ImmunoPrecise Antibodies Ltd. has several subsidiaries in North America and Europe including entities such as Talem Therapeutics LLC, BioStrand BV, ImmunoPrecise Antibodies (Canada) Ltd. and ImmunoPrecise Antibodies (Europe) B.V. (collectively, the “IPA Family”). The IPA Family is a biotherapeutic research and technology group that leverages systems biology, multi-omics modelling and complex artificial intelligence systems to support its proprietary technologies in bioplatform-based antibody discovery. Services include highly specialized, full-continuum therapeutic biologics discovery, development, and out-licensing to support its business partners in their quest to discover and develop novel biologics against the most challenging targets. For further information, visit www.ipatherapeutics.com.

Forward Looking Information

This news release contains forward-looking statements within the meaning of applicable United States securities laws and Canadian securities laws. Forward-looking statements are often identified by the use of words such as “potential”, “plans”, “expects” or “does not expect”, “is expected”, “estimates”, “intends”, “anticipates” or “does not anticipate”, or “believes”, or variations of such words and phrases or state that certain actions, events or results “may”, “could”, “would”, “might” or “will” be taken, occur or be achieved. Forward-looking information contained in this news release includes, but is not limited to, statements relating to the expected outcome on the market, the life sciences, drug discovery and development, integration and / or success of LENSai, LLMs, RAG, or HYFT technologies, including their benefits, and statements relating to IPA’s expected increased revenue streams and financial growth. In respect of the forward-looking information contained herein, IPA has provided such statements and information in reliance on certain assumptions that management believed to be reasonable at the time.

Forward-looking information involves known and unknown risks, uncertainties and other factors which may cause the actual results, performance or achievements stated herein to be materially different from any future results, performance or achievements expressed or implied by the forward-looking information. Actual results could differ materially from those currently anticipated due to a number of factors and risks, including, without limitation, the risk that the integration of IPA’s LENS^ai platform with its HYFT technology may not have the expected results, risks that the expected healthcare benefits including lowering development timeliness, and costs and that development of targeted treatments with higher efficacy and lower side effects will not be achieved, risks that the benefits to drug discovery, protein-based therapeutics, and synthetic biology won't be achieved, in addition actual results could differ materially from those currently anticipated due to a number of factors and risks, as discussed in the Company’s Annual Information Form dated July 10, 2023 (which may be viewed on the Company’s profile at www.sedar.com), and the Company’s Form 40-F, dated July 10, 2023 (which may be viewed on the Company’s profile at www.sec.gov). Should one or more of these risks or uncertainties materialize, or should assumptions underlying the forward-looking statements prove incorrect, actual results, performance, or achievements may vary materially from those expressed or implied by the forward-looking statements contained in this news release. Accordingly, readers should not place undue reliance on forward-looking information contained in this news release. The forward-looking statements contained in this news release are made as of the date of this release and, accordingly, are subject to change after such date. The Company does not assume any obligation to update or revise any forward-looking statements, whether written or oral, that may be made from time to time by us or on our behalf, except as required by applicable law.

View source version on businesswire.com: https://www.businesswire.com/news/home/20240307470977/en/

investors@ipatherapeutics.com

Source: ImmunoPrecise Antibodies Ltd.

FAQ

What is the significance of the Foundation AI Model announced by IPA?

The Foundation AI Model combines Large Language Models with BioStrand's HYFT Technology for advanced biological data analysis and drug discovery, enabling more accurate predictions and insights.

How does HYFT Technology contribute to the success of BioStrand's AI model?

HYFT Technology identifies and leverages universal fingerprint patterns in biological sequences, bridging sequence data to structural data, functional information, and more. It enables precise mapping and analysis in protein language decoding.

What is the role of Large Language Models (LLMs) in the Foundation AI Model?

LLMs are combined with HYFTs in the Foundation AI Model to decode the complex language of proteins, providing insights into protein structure prediction, antibody binding optimization, and protein mutagenesis.

How does the Foundation AI Model revolutionize drug discovery and precision medicine?

The model accelerates research and development timelines and costs in drug discovery, protein engineering, and the development of protein-based therapeutics. It enables targeted treatments with higher efficacy and lower side effects.

Who will be presenting the latest advancements at the HIMSS24 conference?

Dirk Van Hyfte MD, PhD, Co-Founder and Head of Innovation of BioStrand, alongside technology partner InterSystems, will be showcasing the Universal Foundation AI Model at the HIMSS24 conference in Orlando, Florida.