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austin, texas – immunoprecise antibodies ltd. (nasdaq: ipa) today announced the launch of its ai-powered pipeline of both optimized and new therapeutics, a system set to transform therapeutic development. by combining advanced artificial intelligence with first-principles thinking, the biostrand pipeline reimagines drug discovery, offering unmatched speed, precision, and transparency. traditional drug discovery often builds on outdated frameworks, layering new tools onto existing systems and perpetuating inefficiencies. ipa’s first-principles approach breaks from this mold by deconstructing challenges to their fundamentals and rebuilding processes from the ground up. this mindset led to the creation of lensai, ipa’s proprietary ai platform, which organizes vast biological datasets into a unified framework, eliminating silos and accelerating discoveries. the ipa pipeline introduces a new era of ai-enhanced therapies designed to meet modern medical demands while addressing critical unmet needs. by pairing cutting-edge computational insights with rigorous lab validation, ipa ensures the delivery of treatments that are not only groundbreaking but also highly effective and reliable. powered by lensai's in silico workflows, the pipeline integrates data with precision at every stage of development, enabling therapies that are faster, more targeted, and impactful for the future of medicine. "our ai-powered pipeline represents a major leap forward for ipa," said dr. jennifer bath, ceo of immunoprecise antibodies. "by harnessing ai and rethinking drug discovery from the ground up, we are not just improving the process—we are fundamentally changing what’s possible. this pipeline lays the foundation for groundbreaking advancements in therapeutic development, embodying our vision of innovation driven by clarity, precision, and purpose." this launch marks a pivotal moment for ipa as it continues to set new standards in biotherapeutics. by tackling complex therapeutic challenges and addressing some of the world’s most pressing medical needs, ipa is poised to lead the next wave of ai-powered drug discovery. about immunoprecise antibodies ltd. immunoprecise antibodies ltd. is a biotechnology company that leverages multi-omics modeling and complex artificial intelligence through a series of proprietary and patented technologies. the company owns an integrated end-to-end suite of capabilities to support the development of therapeutic antibodies and are known for solving very complex industry challenges. ipa 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”). investor relations contact investors@ipatherapeutics.com forward-looking statements this press release contains forward-looking statements within the meaning of applicable united states and canadian securities laws. forward-looking statements often include words such as “expects,” “intends,” “anticipates,” “believes,” or variations thereof, or state that certain actions, events, or results “may,” “will,” “could,” or “might” occur. these statements relate to, among other things, the anticipated benefits and impact of the ai-driven pipeline, the potential for ai-enhanced therapeutic assets to accelerate drug discovery, and the company’s ability to develop and commercialize new therapeutic candidates. although the company believes it has a reasonable basis for these forward-looking statements, they are based on current expectations, assumptions, and projections about future events that involve risks and uncertainties. actual results may differ materially from those expressed or implied due to factors largely beyond the company’s control, including risks related to scientific and technological developments, regulatory approvals, industry competition, and broader market conditions. forward-looking statements involve known and unknown risks, uncertainties, and other factors that may cause actual results, performance, or achievements to differ materially from those expressed or implied herein. additional information on risks and uncertainties can be found in the company’s annual report on form 20-f, as amended, for the year ended april 30, 2024 (available on the company’s sedar+ profile at www.sedarplus.ca and edgar profile at www.sec.gov/edgar). should any of these risks materialize, actual results could vary significantly. readers are cautioned not to place undue reliance on forward-looking statements, which reflect the company’s expectations only as of the date of this release. the company assumes no obligation to update or revise these statements, except as required by law.

victoria, british columbia (canada), june 25, 2024 – immunoprecise antibodies ltd. (the “company” or “ipa”) (nasdaq: ipa), an ai-driven biotherapeutic research and technology company, today announced that its subsidiary, biostrand, is collaborating with pgxai to leverage biostrand's patented foundation ai model, lensai. this collaboration advances the precision medicine field of pharmacogenomics and supports lensai application programming interface (“api”) commercial rollout through expanding lensai features and market reach. pharmacogenomics, the study of how genetic variations affect drug response, is integral to ipa’s goal to efficiently create tailored therapies and improve patient outcomes. the vast amount of genetic data has historically been difficult for researchers to access, manage, and interpret. lensai was built to address that challenge through its unique ability to analyze large language models simultaneously with many disparate forms of research and patient data. lensai was recently made available by biostrand to certain current and prospective partners through an api. biostrand’s collaboration with pgxai is an important next step aimed at providing lensai users the ability to apply pharmacogenetic analysis, reflecting our shared mission of better healthcare solutions through advanced technology. “the work we’ve begun with pgxai marks a significant application of lensai to a critical real-world challenge, enabling the development of a unique pharmacogenomics ai model,” said dr. jennifer bath, president, and ceo of ipa. “with more genomic data and new pharmacogenetic insights, more advanced methods are urgently needed to analyze and predict treatment responses and adverse drug reactions. we believe that lensai offers a potentially groundbreaking approach to creating an adaptive ai model that is designed to predict individual patient responses to both existing and new drugs.” mike zack, md, phd, ceo of pgxai, commented, “we are excited to partner with biostrand, a leader in ai-powered biotherapeutic solutions. our collaboration aims to create a transformative ai model for the pharmacogenomics sector, enhancing our ability to predict effective and safe therapies. this partnership represents a significant step toward revolutionizing personalized medicine.” allan gobbs, executive chairman of pgxai, added, “the clinical value of pharmacogenomics is increasingly recognized by healthcare providers and payers. we believe that our model will enable unprecedented personalization and precision in pharmacogenetic recommendations, potentially transforming medication prescription practices on a global scale.” despite advancements in generative ai, vector search, and multi-omics, practical applications of precision medicine remain limited, contributing to over 30% of adverse drug reactions, as noted in the lancet1. by sequencing the human genome and cataloging genetic variants, we can better understand and predict how patients will respond to specific drugs. integrating pharmacogenomics with electronic health records (ehrs) and artificial intelligence (ai) offers significant potential to personalize treatments and enhance patient outcomes. a robust ai model in this field has the potential to revolutionize the $400 billion2 prescription drug market, significantly improving patient outcomes and driving innovation in precision medicine. this presents a compelling investment opportunity to transform healthcare by delivering cutting-edge solutions in the rapidly evolving precision medicine landscape. dirk van hyfte, md, phd, head of technology at ipa and co-founder of biostrand, stated, "we are thrilled to deploy our lensai software, available through api, to support pgxai’s cutting-edge initiatives. our collaboration is set to enhance rational drug design by integrating advanced ai analysis of vast genomic data, enabling the precise tailoring of therapies to individual genetic profiles. this approach not only boosts the efficacy and safety of treatments but also streamlines the drug development process, reducing both timelines and costs. our technology is developed to help optimize drug therapies for specific patient needs, marking a significant advancement in personalized medicine." 1 https://www.thelancet.com/journals/lancet/article/piis0140-6736(22)01841-4/abstract 2 https://www.iqvia.com/insights/the-iqvia-institute/reports-and-publications/reports/the-use-of-medicines-in-the-us-2023 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. investor contact: investors@ipatherapeutics.com about pgxai pgxai is a leading ai-powered pharmacogenetics platform that is transforming precision medicine through proprietary algorithms and real-world data analysis. in partnership with intersystems, pgxai utilizes advanced tools like vector search and generative ai to analyze extensive real-world data, addressing challenges in drug selection, dosage personalization, and identifying significant drug-drug interactions. contact email - admin@pgx.ai corporate presentation use this link 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 potential of lensai and the collaboration with pgxai, the impact 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 lensai 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.

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 (canada), march 7, 2024 – 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 - lensai ™ 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 7th, 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 himss24 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 12th-14th, 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. contact: investors@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 lensai 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.