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ImmunoPrecise Regains Compliance with Nasdaq Minimum Bid Price Requirement
ImmunoPrecise Regains Compliance with Nasdaq Minimum Bid Price Requirement

Business Wire

time14-07-2025

  • Business
  • Business Wire

ImmunoPrecise Regains Compliance with Nasdaq Minimum Bid Price Requirement

AUSTIN, Texas--(BUSINESS WIRE)--ImmunoPrecise Antibodies Ltd. (NASDAQ: IPA) ('IPA' or the 'Company'), a company operating at the convergence of TechBio and biological intelligence, today announced that it has received formal notification from The Nasdaq Stock Market LLC ('Nasdaq') confirming that the Company has regained compliance with Nasdaq Listing Rule 5550(a)(2), concerning the minimum bid price requirement. We're building the digital infrastructure that connects biological complexity with real-world impact - enabling new possibilities in therapeutic development and beyond. The notice, dated July 11, 2025, stated that for the 10 consecutive business days from June 26, 2025, through July 10, 2025, the closing bid price of the Company's common shares was at or above $1.00 per share. As a result, ImmunoPrecise has satisfied the requirements for continued listing on the Nasdaq Capital Market, and the matter is now closed. 'This compliance milestone reflects the growing recognition of our evolution into a platform company built around bio-native AI,' said Dr. Jennifer Bath, CEO of ImmunoPrecise. 'We're building the digital infrastructure that connects biological complexity with real-world impact - enabling new possibilities in therapeutic development and beyond. The recent momentum in our share price is a strong signal of support for that vision.' Through its proprietary LENS ai™ platform powered by HYFT ® technology, ImmunoPrecise is reimagining how biological data can be modeled and deployed at scale. The LENS ai platform is transforming therapeutic discovery from a decades-long process to rapid, precision-guided development by systematically identifying the most promising therapeutic pathways through integration of sequence, structure, literature and functional data across the entire biosphere. Our integrated framework enables unprecedented zero-shot discovery scenarios where LENS ai predicts therapeutic interactions for completely novel targets, demonstrated through recent validation across 17 previously unseen antibody-protein complexes, achieving near-crystallography precision without prior training data. This unique bio-native AI approach captures functional meaning rather than structural patterns, enabling new capabilities across R&D from drug and vaccine discovery to systems biology and positioning IPA at the frontier of TechBio innovation. About ImmunoPrecise Antibodies Ltd. ImmunoPrecise Antibodies Ltd. (NASDAQ: IPA) is advancing Bio-Native™ AI at the intersection of biology and computation. The Company's LENSai™ and HYFT ® platforms enable large-scale reasoning across sequence, structure, function, and scientific literature, powering next-generation workflows across drug discovery, diagnostics, vaccine design, and molecular systems biology. Forward-Looking Statements This press release contains forward-looking statements within the meaning of applicable United States and Canadian securities laws. Forward-looking statements are often identified by words such as 'expects,' 'intends,' 'plans,' 'anticipates,' 'believes,' or similar expressions, or by statements that certain actions, events, or results 'may,' 'will,' 'could,' or 'might' occur or be achieved. These statements include, but are not limited to, statements regarding the Company's strategic direction, the Company's future growth, its ability to execute on its scientific, commercial, and capital markets initiatives, and the continued evolution of its leadership and business strategy. Forward-looking statements are based on management's current expectations, assumptions, and projections about future events. Actual results may differ materially from those expressed or implied due to a variety of factors, many of which are beyond the Company's control. These factors include, but are not limited to, changes in board or executive leadership; shifts in strategic priorities; scientific or operational challenges; evolving market and economic conditions; changes in regulatory environments; the pace of innovation in AI and biotechnology; and other risks inherent to the Company's industry and business model. 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 regarding risks and uncertainties is included in the Company's Annual Report on Form 20-F, as amended, for the fiscal year ended April 30, 2024, available on the Company's SEDAR+ profile at and EDGAR profile at Should any of these risks materialize, actual results could vary significantly from those currently anticipated. Readers are cautioned not to place undue reliance on these forward-looking statements. Except as required by applicable law, the Company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise.

ImmunoPrecise Antibodies' LENSai Platform Achieves Breakthrough in Epitope Mapping Accuracy
ImmunoPrecise Antibodies' LENSai Platform Achieves Breakthrough in Epitope Mapping Accuracy

Yahoo

time07-07-2025

  • Business
  • Yahoo

ImmunoPrecise Antibodies' LENSai Platform Achieves Breakthrough in Epitope Mapping Accuracy

ImmunoPrecise Antibodies Ltd. (NASDAQ:IPA) is one of the best hot stocks to buy according to Wall Street analysts. On July 3, ImmunoPrecise Antibodies announced significant validation for its proprietary epitope mapping platform, called LENSai. This platform is powered by IPA's patented HYFT technology and has shown its ability to accurately predict antibody binding sites even on therapeutic targets it has never encountered before in its training data. A new benchmark study tested LENSai on 30 antibody-protein pairs, 17 of which were entirely new to the platform, so LENSai had no prior exposure to these specific antibodies, targets, or complexes. Despite this, LENSai achieved prediction scores, measured by AUC (Area Under the Curve), that were nearly identical to those obtained from its original training data. A scientist analyzing antibodies in a lab. The consistent high performance on unseen complexes confirms LENSai's generalizability and its ability to reliably analyze and predict antibody binding for diverse biological structures, achieving near-crystallography precision. Traditional epitope mapping methods can take months and require extensive wet-lab work and expensive materials. In contrast, LENSai delivers results in hours using only digital sequences. ImmunoPrecise is already integrating LENSai into collaborations with major pharmaceutical and biotech companies, as well as scaling access through secure APIs and custom partnerships. ImmunoPrecise Antibodies Ltd. (NASDAQ:IPA) is a techbio company that uses multi-omics modeling and complex AI through a series of proprietary and patented technologies, and supports the discovery and development of therapeutic antibodies. While we acknowledge the potential of IPA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the . READ NEXT: and . Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio

ImmunoPrecise Antibodies Appoints Industry Veteran Jon Lieber to Board of Directors
ImmunoPrecise Antibodies Appoints Industry Veteran Jon Lieber to Board of Directors

National Post

time07-07-2025

  • Business
  • National Post

ImmunoPrecise Antibodies Appoints Industry Veteran Jon Lieber to Board of Directors

Article content AUSTIN, Texas — ImmunoPrecise Antibodies Ltd. (NASDAQ: IPA) ('IPA' or the 'Company'), an AI-powered biotherapeutics company, today announced the appointment of Jon Lieber to its Board of Directors, effective immediately. Article content Mr. Lieber brings over 30 years of financial and strategic leadership across the biotechnology and life sciences sectors, with deep expertise in capital markets, investor relations, and corporate development. He currently serves as Chief Financial Officer at Rallybio, a clinical-stage biotechnology company developing therapies for severe and rare diseases. He also brings valuable experience in Nasdaq governance, having served as both a senior executive and board member of publicly traded companies. Article content Article content 'We are pleased to welcome Jon to IPA's Board of Directors during this transformative period for the Company,' said Dr. Jennifer Bath, CEO of ImmunoPrecise. 'Jon brings the rare and highly valuable combination of Nasdaq board governance and senior executive experience—critical as we navigate commercialization and strategic growth. His deep understanding of capital markets and proven success guiding innovation-driven companies aligns well with our strategy to expand adoption of our LENSai™ and HYFT® platforms, and to position IPA at the forefront of AI-powered drug discovery.' Article content Prior to Rallybio, Mr. Lieber was CFO at Applied Genetic Technologies Corporation (AGTC), a publicly traded gene therapy company, where he led all capital-raising efforts and oversaw finance, human resources, investor relations, and IT. He has also held senior leadership roles at Danforth Advisors, Histogenics, Repligen, Xcellerex (acquired by GE Healthcare), and Altus Pharmaceuticals. Earlier in his career, he worked in investment banking at Salomon Brothers / Salomon Smith Barney and SG Cowen. Article content Mr. Lieber currently serves on the Board of Directors of Salarius Pharmaceuticals, where he is a member of both the Audit Committee and the Nominating and Governance Committee, further underscoring his depth of experience in Nasdaq board governance. Article content 'I'm excited to join IPA's Board at such a pivotal time,' said Mr. Lieber. 'The Company's ability to integrate in silico discovery with translational biology sets it apart in a rapidly evolving biotherapeutics landscape. I look forward to supporting IPA's continued momentum and strategic execution.' Article content About ImmunoPrecise Antibodies Ltd. Article content ImmunoPrecise (NASDAQ: IPA) is a global leader in AI-powered biotherapeutic discovery and development. Its proprietary HYFT technology and LENSai™ platform enable first-principles-based drug design, delivering validated therapeutic candidates across modalities and therapeutic areas. IPA partners with 19 of the top 20 pharmaceutical companies and is advancing next-generation biologics through data-driven, human-relevant models. Article content Forward-Looking Statements Article content This press release contains forward-looking statements within the meaning of applicable United States and Canadian securities laws. Forward-looking statements are often identified by words such as 'expects,' 'intends,' 'plans,' 'anticipates,' 'believes,' or similar expressions, or by statements that certain actions, events, or results 'may,' 'will,' 'could,' or 'might' occur or be achieved. These statements include, but are not limited to, statements regarding the anticipated contributions of Mr. Lieber to the Company's board and strategic direction, the Company's growth trajectory, and its ability to execute on scientific, commercial, and capital markets initiatives. Article content Forward-looking statements are based on management's current expectations, assumptions, and projections about future events. Actual results may differ materially from those expressed or implied due to a variety of factors, many of which are beyond the Company's control. These factors include, but are not limited to, changes in leadership dynamics, evolving business strategies, market conditions, regulatory developments, scientific and technological advancements, and other risks related to the Company's operations and industry. Article content Forward-looking statements involve known and unknown risks, uncertainties, and other factors that could cause actual results, performance, or achievements to differ materially from those expressed or implied herein. Additional information regarding risks and uncertainties is included 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 and EDGAR profile at Should any of these risks materialize actual results could vary significantly from those currently anticipated. Article content Article content Article content Article content Contacts Article content Investor Relations Contact Article content Article content Article content Article content

ImmunoPrecise Validates LENSai Epitope Mapping Platform Across Broad Range of Unseen Therapeutic Targets Beyond Training Data
ImmunoPrecise Validates LENSai Epitope Mapping Platform Across Broad Range of Unseen Therapeutic Targets Beyond Training Data

National Post

time03-07-2025

  • Business
  • National Post

ImmunoPrecise Validates LENSai Epitope Mapping Platform Across Broad Range of Unseen Therapeutic Targets Beyond Training Data

Article content New benchmark confirms LENS ai 's ability to accurately predict binding on 17 previously unseen antibody-antigen complexes, achieving near-crystallography precision without prior training data. Article content AUSTIN, Texas — ImmunoPrecise Antibodies Ltd. (NASDAQ: IPA) ('IPA' or the 'Company'), an AI-powered biotherapeutics company, today announced a new validation study supporting the generalizability of its proprietary epitope mapping platform, LENS ai, powered by IPA's patented HYFT® technology. The newly released benchmark shows that the platform consistently delivers high predictive performance, even on complexes not used during training. Article content 'It's generally assumed that AI can only make accurate predictions if it has seen similar data before,' said Dr. Jennifer Bath, CEO of ImmunoPrecise. 'But this benchmark proves otherwise: LENS ai accurately mapped antibody binding sites on entirely new antibody – protein complexes-none of which were used in training. Not the antibodies. Not the targets. Not the complexes. And the predictions aligned with wet-lab results. This is a major breakthrough in generalizing AI for therapeutic discovery, made possible by our proprietary technology, which captures functional meaning instead of memorizing shapes. It shows that AI doesn't always need massive data to be powerful and accurate – it just needs the right kind.' Article content LENS ai Epitope Mapping uses artificial intelligence to pinpoint where antibodies are most likely to attach to disease-related proteins – helping scientists design better treatments faster. Unlike traditional methods that take months and require lab work, LENS ai delivers results in hours – using just the digital sequences – cutting timelines, eliminating the need to produce expensive materials, reducing guesswork, and unlocking faster paths to new treatments. Article content In a new benchmark study, LENS ai was tested on 30 antibody-protein pairs, 17 of which the platform had never seen before. Despite having no prior exposure to these molecules, LENS ai achieved prediction scores nearly identical to those from its original training data. This score, known as AUC (Area Under the Curve), is a widely accepted measure of accuracy in computational biology. Article content The consistent performance on entirely new, unseen complexes confirms that LENS ai 's artificial intelligence can reliably analyze and predict antibody binding – even for molecules outside its training set. This breakthrough demonstrates LENS ai 's power to generalize across diverse biological structures, making it a valuable tool for accelerating real-world drug discovery. Article content Why This Benchmark Matters Article content In the new study, LENS ai delivered high accuracy results on 17 antibody-protein complexes the platform had never seen before as it did on familiar training examples – proving true generalization, not memorization. Because no new wet-lab work or x-ray structures were required, researchers gain speed, reproducibility, and major cost savings, while freeing scarce lab resources for confirmatory or downstream assays. Article content What It Means for Partners and Investors Article content With LENS ai already embedded in collaborations across big pharma and biotech, ImmunoPrecise is scaling access through secure APIs and custom partnerships. The platform helps researchers compress discovery timelines, reduce risk, and unlock previously unreachable targets – positioning the company and its investors at the forefront of AI-driven antibody therapeutics. Article content For more technical detail and full benchmark results, explore two complementary case studies that illustrate the power and flexibility of LENS ai Epitope Mapping. Article content ai Article content 's breakthrough ability to accurately map binding sites on a completely Article content 'unseen' target Article content , with no prior exposure to the antibody, the antigen, or their structure. Article content These examples underscore how LENS ai performs both in well-characterized systems and in novel, previously untrained scenarios—validating its generalizability and real-world readiness. Article content About ImmunoPrecise Antibodies Ltd. Article content ImmunoPrecise (NASDAQ: IPA) is a global leader in AI-powered biotherapeutic discovery and development. Its proprietary HYFT technology and LENSai™ platform enable first-principles-based drug design, delivering validated therapeutic candidates across modalities and therapeutic areas. IPA partners with 19 of the top 20 pharmaceutical companies and is advancing next-generation biologics through data-driven, human-relevant models. Article content Forward-Looking Statements Article content This press release contains forward-looking statements within the meaning of applicable United States and Canadian securities laws. Forward-looking statements are often identified by words such as 'expects,' 'intends,' 'plans,' 'anticipates,' 'believes,' or similar expressions, or by statements that certain actions, events, or results 'may,' 'will,' 'could,' or 'might' occur or be achieved. These statements include, but are not limited to, statements regarding the performance, scalability, and broader application of the LENSai™ and HYFT® platforms; the generalizability of the Company's AI models to novel therapeutic targets; the role of AI in accelerating antibody discovery; and the Company's future scientific, commercial, and strategic developments. Article content Forward-looking statements are based on management's current expectations, assumptions, and projections about future events. Actual results may differ materially from those expressed or implied due to a variety of factors, many of which are beyond the Company's control. These factors include, but are not limited to, the pace of scientific and technological innovation, risks related to model validation and generalizability in real-world settings, intellectual property protection, strategic partner adoption, regulatory pathways, and market demand for AI-driven therapeutic platforms. Article content Forward-looking statements involve known and unknown risks, uncertainties, and other factors that could cause actual results, performance, or achievements to differ materially from those expressed or implied herein. Additional information regarding risks and uncertainties is included 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 Article content Article content and EDGAR profile at Article content Article content ). Should any of these risks materialize, actual results could vary significantly from those currently anticipated. Article content Readers are cautioned not to place undue reliance on these forward-looking statements. Except as required by law, the Company undertakes no obligation to update or revise forward-looking statements to reflect subsequent events or circumstances. Article content Article content Article content Article content Contacts Article content Investor Relations Contact Article content Article content Article content Article content

ImmunoPrecise Validates LENSai Epitope Mapping Platform Across Broad Range of Unseen Therapeutic Targets Beyond Training Data
ImmunoPrecise Validates LENSai Epitope Mapping Platform Across Broad Range of Unseen Therapeutic Targets Beyond Training Data

Yahoo

time03-07-2025

  • Business
  • Yahoo

ImmunoPrecise Validates LENSai Epitope Mapping Platform Across Broad Range of Unseen Therapeutic Targets Beyond Training Data

New benchmark confirms LENSai's ability to accurately predict binding on 17 previously unseen antibody-antigen complexes, achieving near-crystallography precision without prior training data. AUSTIN, Texas, July 03, 2025--(BUSINESS WIRE)--ImmunoPrecise Antibodies Ltd. (NASDAQ: IPA) ("IPA" or the "Company"), an AI-powered biotherapeutics company, today announced a new validation study supporting the generalizability of its proprietary epitope mapping platform, LENSai, powered by IPA's patented HYFT® technology. The newly released benchmark shows that the platform consistently delivers high predictive performance, even on complexes not used during training. "It's generally assumed that AI can only make accurate predictions if it has seen similar data before," said Dr. Jennifer Bath, CEO of ImmunoPrecise. "But this benchmark proves otherwise: LENSai accurately mapped antibody binding sites on entirely new antibody - protein complexes-none of which were used in training. Not the antibodies. Not the targets. Not the complexes. And the predictions aligned with wet-lab results. This is a major breakthrough in generalizing AI for therapeutic discovery, made possible by our proprietary technology, which captures functional meaning instead of memorizing shapes. It shows that AI doesn't always need massive data to be powerful and accurate - it just needs the right kind." LENSai Epitope Mapping uses artificial intelligence to pinpoint where antibodies are most likely to attach to disease-related proteins - helping scientists design better treatments faster. Unlike traditional methods that take months and require lab work, LENSai delivers results in hours - using just the digital sequences - cutting timelines, eliminating the need to produce expensive materials, reducing guesswork, and unlocking faster paths to new treatments. In a new benchmark study, LENSai was tested on 30 antibody-protein pairs, 17 of which the platform had never seen before. Despite having no prior exposure to these molecules, LENSai achieved prediction scores nearly identical to those from its original training data. This score, known as AUC (Area Under the Curve), is a widely accepted measure of accuracy in computational biology. The consistent performance on entirely new, unseen complexes confirms that LENSai's artificial intelligence can reliably analyze and predict antibody binding - even for molecules outside its training set. This breakthrough demonstrates LENSai's power to generalize across diverse biological structures, making it a valuable tool for accelerating real-world drug discovery. Why This Benchmark Matters In the new study, LENSai delivered high accuracy results on 17 antibody-protein complexes the platform had never seen before as it did on familiar training examples - proving true generalization, not memorization. Because no new wet-lab work or x-ray structures were required, researchers gain speed, reproducibility, and major cost savings, while freeing scarce lab resources for confirmatory or downstream assays. What It Means for Partners and Investors With LENSai already embedded in collaborations across big pharma and biotech, ImmunoPrecise is scaling access through secure APIs and custom partnerships. The platform helps researchers compress discovery timelines, reduce risk, and unlock previously unreachable targets - positioning the company and its investors at the forefront of AI-driven antibody therapeutics. For more technical detail and full benchmark results, explore two complementary case studies that illustrate the power and flexibility of LENSai Epitope Mapping. The first highlights performance on a "seen" target, where the system was trained on related data. The second - featured in this press release - demonstrates LENSai's breakthrough ability to accurately map binding sites on a completely "unseen" target, with no prior exposure to the antibody, the antigen, or their structure. New Case Study: LENSai Epitope Mapping on an "Unseen" Target [link] Previous Case Study: Head-to-Head Benchmark on a "Seen" Target [link] These examples underscore how LENSai performs both in well-characterized systems and in novel, previously untrained scenarios—validating its generalizability and real-world readiness. About ImmunoPrecise Antibodies Ltd. ImmunoPrecise (NASDAQ: IPA) is a global leader in AI-powered biotherapeutic discovery and development. Its proprietary HYFT technology and LENSai™ platform enable first-principles-based drug design, delivering validated therapeutic candidates across modalities and therapeutic areas. IPA partners with 19 of the top 20 pharmaceutical companies and is advancing next-generation biologics through data-driven, human-relevant models. Forward-Looking Statements This press release contains forward-looking statements within the meaning of applicable United States and Canadian securities laws. Forward-looking statements are often identified by words such as "expects," "intends," "plans," "anticipates," "believes," or similar expressions, or by statements that certain actions, events, or results "may," "will," "could," or "might" occur or be achieved. These statements include, but are not limited to, statements regarding the performance, scalability, and broader application of the LENSai™ and HYFT® platforms; the generalizability of the Company's AI models to novel therapeutic targets; the role of AI in accelerating antibody discovery; and the Company's future scientific, commercial, and strategic developments. Forward-looking statements are based on management's current expectations, assumptions, and projections about future events. Actual results may differ materially from those expressed or implied due to a variety of factors, many of which are beyond the Company's control. These factors include, but are not limited to, the pace of scientific and technological innovation, risks related to model validation and generalizability in real-world settings, intellectual property protection, strategic partner adoption, regulatory pathways, and market demand for AI-driven therapeutic platforms. Forward-looking statements involve known and unknown risks, uncertainties, and other factors that could cause actual results, performance, or achievements to differ materially from those expressed or implied herein. Additional information regarding risks and uncertainties is included 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 and EDGAR profile at Should any of these risks materialize, actual results could vary significantly from those currently anticipated. Readers are cautioned not to place undue reliance on these forward-looking statements. Except as required by law, the Company undertakes no obligation to update or revise forward-looking statements to reflect subsequent events or circumstances. View source version on Contacts Investor Relations Contact Louie TomaManaging Director, CORE IRinvestors@ Sign in to access your portfolio

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