Latest news with #DrJenniferBath
National Post
03-07-2025
- 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
Yahoo
03-07-2025
- 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
Yahoo
03-07-2025
- Business
- Yahoo
ImmunoPrecise Advances Universal Dengue Vaccine, Confirming Safety, Immune Activation, and Structural Stability Using its LENSai™ Platform Powered by Patented HYFT® Technology
Follow-Up to June 5, 2025, Announcement Demonstrates Validated Vaccine Candidate with Strong Translational Potential AUSTIN, Texas, June 24, 2025--(BUSINESS WIRE)--ImmunoPrecise (NASDAQ: IPA), a leader in AI-driven biotherapeutics, provides a significant update following its June 5, 2025, press release ImmunoPrecise Announces AI-Driven Breakthrough in Universal Dengue Vaccine Discovery. This new release details the downstream validation of the epitope identified in that initial announcement—demonstrating that the computationally selected vaccine target is not only highly conserved across all four dengue virus types but also safe, immunologically active, and structurally stable. "This is a major step forward," said Dr. Jennifer Bath, CEO of ImmunoPrecise. "Our AI technology not only found a new target for a universal dengue vaccine, but we've now shown it's safe and can trigger the right immune response. With this validation, we're excited to move ahead and advance this candidate toward the next stages of vaccine development." Following the recent discovery of a unique "Achilles' heel" shared by all four types of dengue virus, ImmunoPrecise has confirmed—using its patented HYFT technology and LENSai Immunogenicity Screener—that the selected target not only remains conserved but also triggers a strong and specific immune response. This breakthrough may pave the way for a safer, more universal dengue vaccine. The new target was discovered using the Company's proprietary LENSai platform. "Our ability to move from computational discovery to AI-guided immunogenicity validation is unique to our methodology and drug development," commented Dr. Jennifer Bath, ImmunoPrecise CEO. "Further, it ensures that our candidates are both theoretically promising and primed for real-world immune protection, a critical requirement for any viable vaccine candidate." For decades, dengue has been one of the most challenging viruses for vaccine developers, largely because the virus comes in four different forms—and beating one doesn't guarantee protection from the others. Many vaccines fail because they trigger the immune system to attack the wrong parts of the virus, or worse, make infections more severe. What makes this development so important is that ImmunoPrecise's target has now been shown—based on in silico immune profiling—to likely engage key components of the immune system, including both B cells and T cells, in a manner that appears safe and highly specific. ImmunoPrecise's latest AI-driven testing shows that their selected target—a small, stable piece of the virus—can activate the body's defenses in a very precise way, without the risks of traditional, broader approaches. A Methodology That Changes the Game—Far Beyond Dengue What sets ImmunoPrecise apart is not only the discovery of a promising dengue vaccine target, but the methodology itself. With LENSai powered by HYFT technology, IPA brings unprecedented clarity to the earliest stages of discovery—well before traditional disease modeling or animal studies even begin. By revealing deep relationships between sequence, structure, and function at the outset, this platform provides rapid, explainable insights that inform every downstream decision, from epitope selection to vaccine design. The findings for dengue showcase the platform's versatility. Because HYFT technology systematically maps biological meaning across the entire biosphere, this methodology is readily transferable—equipping IPA to tackle a wide spectrum of infectious diseases, from HIV and influenza to emerging pathogens and oncology targets. With this approach, ImmunoPrecise isn't just keeping pace with the field; it's setting a new standard for how next-generation therapeutics are discovered and validated. ImmunoPrecise's patented HYFT technology successfully identified a critical and discontiguous target site (epitope) that remains unchanged across all four types of dengue virus (DENV-1 through DENV-4). This target site is essential for how the virus infects cells and is believed to be key for establishing an enduring and efficacious universal dengue vaccine. This HYFT-guided workflow achieves this by analyzing protein building blocks that may be far apart in the virus's genetic sequence but come together when the protein folds into its final 3D shape. This advanced mapping process combines genetic similarity analysis with 3D structural modeling and functional annotation to identify the most promising vaccine targets. Key Technical Findings Complete Immune Response TestingComputer-based immune response screening used advanced prediction tools to evaluate how both antibody-producing cells (B cells) and infection-fighting cells (T cells) would respond to the vaccine target. The target site showed strong predicted binding to multiple human immune system markers (HLA class I and II types). This suggests that people from diverse backgrounds and genetic makeups could mount a strong immune response to the vaccine—something essential for global deployment. Safety Verification Against Human ProteinsUsing ImmunoPrecise's proprietary retrieve-and-relate technology at the core of HYFT™ (Van Hyfte et al., 2023, bioRxiv), the vaccine target was thoroughly compared against all known human and mouse proteins. This comprehensive safety check goes beyond standard comparison methods—HYFT systematically searches for not only genetic similarities but also structural and functional matches across species, ensuring the vaccine target is unique to the virus and not found in human biology. This is critical in vaccine development, where off-target effects can lead to dangerous autoimmune reactions. No problematic similarities were found, significantly reducing the risk that the vaccine would accidentally attack the body's own healthy cells. Structural Stability AnalysisAdvanced computer modeling and molecular simulation studies have confirmed that the vaccine target maintains its proper shape, remains accessible to immune cells, and remains prominently displayed on the surface of the dengue virus. Stability testing demonstrated that the target remains robust under normal physiological conditions. Balanced Immune Response ProfileImportantly, the moderate predicted immune response strength (compared to typical vaccine 'hotspots') may explain why this target was overlooked in previous laboratory studies that focused on more obvious, highly immunogenic sites. This balanced profile suggests the vaccine could trigger a highly specific immune response while potentially reducing the risk of dangerous immune overreactions or antibody-dependent enhancement (ADE)—a serious complication that can worsen dengue infection. Looking Ahead This release is the second in a series of disclosures aimed at showcasing the power of ImmunoPrecise's end-to-end AI-native platform. The June 5th announcement introduced a promising target; today's release provides the crucial next step: a rigorous validation of that target's safety and immunological relevance. This validation significantly strengthens the translational potential of the candidate, which is currently being prepared for further preclinical evaluation. These findings come at an important time, as global agencies continue to seek safer and more effective dengue vaccines. IPA is actively engaging with key stakeholders to explore the path forward, including potential collaboration, development, and funding partnerships. 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 anticipated benefits, scalability, and broader application of the LENSai™ and HYFT® platforms to dengue vaccine development; the advancement, regulatory acceptance, and future clinical potential of AI-native approaches for dengue and other infectious diseases; and the Company's ability to achieve and maintain scientific, regulatory, and commercial progress in its dengue program. 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 developments, changes in regulatory requirements or acceptance of AI designed vaccines, competition and market dynamics, intellectual property protection, risks related to preclinical or clinical validation of dengue vaccine candidates, integration and operational challenges, and changes in global economic or business conditions. 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@ Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
National Post
24-06-2025
- Business
- National Post
ImmunoPrecise Advances Universal Dengue Vaccine, Confirming Safety, Immune Activation, and Structural Stability Using its LENSai™ Platform Powered by Patented HYFT® Technology
Article content Follow-Up to June 5, 2025, Announcement Demonstrates Validated Vaccine Candidate with Strong Translational Potential Article content AUSTIN, Texas — ImmunoPrecise (NASDAQ: IPA), a leader in AI-driven biotherapeutics, provides a significant update following its June 5, 2025, press release ImmunoPrecise Announces AI-Driven Breakthrough in Universal Dengue Vaccine Discovery. This new release details the downstream validation of the epitope identified in that initial announcement—demonstrating that the computationally selected vaccine target is not only highly conserved across all four dengue virus types but also safe, immunologically active, and structurally stable. Article content Article content 'This is a major step forward,' said Dr. Jennifer Bath, CEO of ImmunoPrecise. 'Our AI technology not only found a new target for a universal dengue vaccine, but we've now shown it's safe and can trigger the right immune response. With this validation, we're excited to move ahead and advance this candidate toward the next stages of vaccine development.' Article content Following the recent discovery of a unique 'Achilles' heel' shared by all four types of dengue virus, ImmunoPrecise has confirmed—using its patented HYFT technology and LENS ai Immunogenicity Screener—that the selected target not only remains conserved but also triggers a strong and specific immune response. This breakthrough may pave the way for a safer, more universal dengue vaccine. Article content The new target was discovered using the Company's proprietary LENS ai platform. 'Our ability to move from computational discovery to AI-guided immunogenicity validation is unique to our methodology and drug development,' commented Dr. Jennifer Bath, ImmunoPrecise CEO. 'Further, it ensures that our candidates are both theoretically promising and primed for real-world immune protection, a critical requirement for any viable vaccine candidate.' Article content For decades, dengue has been one of the most challenging viruses for vaccine developers, largely because the virus comes in four different forms—and beating one doesn't guarantee protection from the others. Many vaccines fail because they trigger the immune system to attack the wrong parts of the virus, or worse, make infections more severe. What makes this development so important is that ImmunoPrecise's target has now been shown—based on in silico immune profiling—to likely engage key components of the immune system, including both B cells and T cells, in a manner that appears safe and highly specific. ImmunoPrecise's latest AI-driven testing shows that their selected target—a small, stable piece of the virus—can activate the body's defenses in a very precise way, without the risks of traditional, broader approaches. Article content A Methodology That Changes the Game—Far Beyond Dengue Article content What sets ImmunoPrecise apart is not only the discovery of a promising dengue vaccine target, but the methodology itself. With LENS ai powered by HYFT technology, IPA brings unprecedented clarity to the earliest stages of discovery—well before traditional disease modeling or animal studies even begin. By revealing deep relationships between sequence, structure, and function at the outset, this platform provides rapid, explainable insights that inform every downstream decision, from epitope selection to vaccine design. Article content The findings for dengue showcase the platform's versatility. Because HYFT technology systematically maps biological meaning across the entire biosphere, this methodology is readily transferable—equipping IPA to tackle a wide spectrum of infectious diseases, from HIV and influenza to emerging pathogens and oncology targets. With this approach, ImmunoPrecise isn't just keeping pace with the field; it's setting a new standard for how next-generation therapeutics are discovered and validated. Article content ImmunoPrecise's patented HYFT technology successfully identified a critical and discontiguous target site (epitope) that remains unchanged across all four types of dengue virus (DENV-1 through DENV-4). This target site is essential for how the virus infects cells and is believed to be key for establishing an enduring and efficacious universal dengue vaccine. Article content This HYFT-guided workflow achieves this by analyzing protein building blocks that may be far apart in the virus's genetic sequence but come together when the protein folds into its final 3D shape. This advanced mapping process combines genetic similarity analysis with 3D structural modeling and functional annotation to identify the most promising vaccine targets. Article content Complete Immune Response Testing Computer-based immune response screening used advanced prediction tools to evaluate how both antibody-producing cells (B cells) and infection-fighting cells (T cells) would respond to the vaccine target. The target site showed strong predicted binding to multiple human immune system markers (HLA class I and II types). This suggests that people from diverse backgrounds and genetic makeups could mount a strong immune response to the vaccine—something essential for global deployment. Article content Safety Verification Against Human Proteins Using ImmunoPrecise's proprietary retrieve-and-relate technology at the core of HYFT™ ( Van Hyfte et al., 2023, bioRxiv), the vaccine target was thoroughly compared against all known human and mouse proteins. This comprehensive safety check goes beyond standard comparison methods—HYFT systematically searches for not only genetic similarities but also structural and functional matches across species, ensuring the vaccine target is unique to the virus and not found in human biology. This is critical in vaccine development, where off-target effects can lead to dangerous autoimmune reactions. No problematic similarities were found, significantly reducing the risk that the vaccine would accidentally attack the body's own healthy cells. Article content Structural Stability Analysis Advanced computer modeling and molecular simulation studies have confirmed that the vaccine target maintains its proper shape, remains accessible to immune cells, and remains prominently displayed on the surface of the dengue virus. Stability testing demonstrated that the target remains robust under normal physiological conditions. Article content Balanced Immune Response Profile Importantly, the moderate predicted immune response strength (compared to typical vaccine 'hotspots') may explain why this target was overlooked in previous laboratory studies that focused on more obvious, highly immunogenic sites. This balanced profile suggests the vaccine could trigger a highly specific immune response while potentially reducing the risk of dangerous immune overreactions or antibody-dependent enhancement (ADE)—a serious complication that can worsen dengue infection. Article content Looking Ahead Article content This release is the second in a series of disclosures aimed at showcasing the power of ImmunoPrecise's end-to-end AI-native platform. The June 5th announcement introduced a promising target; today's release provides the crucial next step: a rigorous validation of that target's safety and immunological relevance. This validation significantly strengthens the translational potential of the candidate, which is currently being prepared for further preclinical evaluation. Article content These findings come at an important time, as global agencies continue to seek safer and more effective dengue vaccines. IPA is actively engaging with key stakeholders to explore the path forward, including potential collaboration, development, and funding partnerships. 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 benefits, scalability, and broader application of the LENSai™ and HYFT® platforms to dengue vaccine development; the advancement, regulatory acceptance, and future clinical potential of AI-native approaches for dengue and other infectious diseases; and the Company's ability to achieve and maintain scientific, regulatory, and commercial progress in its dengue program. 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 developments, changes in regulatory requirements or acceptance of AI Article content designed vaccines, competition and market dynamics, intellectual property protection, risks related to preclinical or clinical validation of dengue vaccine candidates, integration and operational challenges, and changes in global economic or business conditions. 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 ). Should any of these risks materialize, actual results could vary significantly from those currently anticipated. Article content Article content Article content Article content Article content Article content
National Post
05-06-2025
- Business
- National Post
ImmunoPrecise Announces AI-Driven Breakthrough in Universal Dengue Vaccine Discovery
Article content LENS ai ™ powered by HYFT® technology Identifies a single multi-factorial target conserved across all dengue serotypes. Article content AUSTIN, Texas — ImmunoPrecise Antibodies Ltd. (IPA) (NASDAQ:IPA) a leader in AI-driven biotherapeutics, announces discovery of a highly conserved epitope across all four dengue virus serotypes using its proprietary LENS ai ™ platform powered by their patented HYFT® technology. This discovery, made using several proprietary HYFT-based analyses, identifies a part of the virus (an epitope) that has remained unmutated across all four known virus serotypes, therefore potentially allowing an epitope-based vaccine to target and activate the immune system to eliminate the virus. This discovery marks a major milestone toward the development of a potential universal dengue vaccine and validates the Company's newly launched, HYFT pattern-patented AI-native vaccine discovery engine. Article content Dr. Jennifer Bath, ImmunoPrecise Antibodies CEO commented, 'This breakthrough highlights a new frontier in AI-driven biology—where discovery is rooted in the biology of a virus itself. By confirming that our sequence-derived patented HYFT patterns match structural signatures across all dengue serotypes, we're setting the stage for a universal vaccine design framework. Ultimately, this research validates a persistent target that may allow doctors to home in on a signal to eliminate the virus regardless of mutations that may have occurred. More importantly, the implications appear to stretch far beyond the dengue virus. This is a foundation that research indicates can now be applied to many other infectious diseases and potentially even certain types of cancer.' Article content Building on this success in dengue, IPA now intends to extend its AI-driven vaccine design platform to other high-impact infectious diseases, for example, HIV, Norovirus, and an improved RSV vaccine. Early-stage assessments are also underway to explore the platform's application in oncology for neoantigen vaccine development and tumor-specific epitope mapping. Article content This discovery underscores IPA's commitment to advancing drug discovery through innovative, human-relevant AI technologies that align with evolving industry standards. Using HYFT's patented ability to map biologically meaningful sub-sequence patterns across the entire biosphere, the Company's proprietary LENS ai platform identified a unique epitope shared across all four serotypes of the dengue virus—DENV-1, DENV-2, DENV-3, and DENV-4. These serotypes are distinct versions of the virus that circulate globally, and because infection with one does not protect against the others, identifying a common target is a critical step toward developing a broadly protective dengue vaccine. Unlike traditional trial-and-error methods, IPA's discovery was achieved entirely in silico, demonstrating the platform's power to translate complex biological data into actionable vaccine design. Article content Why Has a Universal Dengue Vaccine Been So Elusive? Article content Dengue is not just one virus—it's four distinct, rapidly-evolving serotypes. Immunity to one does not guarantee protection from the others, and prior infection can even make subsequent disease worse. For decades, vaccine researchers have struggled to find a viral component that is both exposed and truly conserved across all four types—a challenge compounded by the virus's rapid mutation and complex immune interactions. Traditional methods, whether experimental or computational, have repeatedly fallen short, unable to fully bridge the gap between sequence, structure, and function at a meaningful scale. Article content Confirmed Breakthrough: Sequence and Structural HYFT Match Across All Four Serotypes Article content IPA's discovery is a landmark moment in computational vaccinology. Using its proprietary LENSai™ platform powered by their patented HYFT® technology, the company has identified a strictly conserved epitope across all four dengue virus serotypes— a viral signature that remains unchanged despite mutations and serotype variation, and that can be targeted to trigger the immune system in efforts to eliminate the virus. This achievement marks a critical milestone in the quest for a universal dengue vaccine. Article content What sets this apart is the depth of validation: Article content Patented HYFT patterns, derived based on the conservation of sequence data. were independently confirmed to match corresponding structural HYFTs across all four dengue serotypes. This was made possible through LENS ai 's integration of over 20 million proprietary Structural HYFTs (S-HYFTs), enabling the platform to overlay three-dimensional conformations onto sequence-level, biology-native fingerprints. The validation demonstrates that LENS ai doesn't simply identify linear motifs—it can infer conformational and functional structures from sequence data alone, bypassing the need for time-consuming experimental techniques like crystallography or cryo-EM. Article content This milestone affirms the patented HYFT technology's unique ability to traverse the full biological hierarchy—from DNA/RNA sequence to molecular structure to therapeutic relevance. It signals that AI-native models, rooted in biology-first principles, can now deliver actionable insights previously achievable only through years of wet-lab research. Article content The end-to-end LENS ai platform integrates patented HYFT® universal fingerprints with deep learning, structural predictions, and literature-mined knowledge graphs to rapidly identify and refine candidate epitopes—without requiring lab-based inputs. The result: full immunogen design and in silico immunogenicity screening, dramatically reducing the time and cost of early-stage vaccine development and unlocking new opportunities to tackle even the most complex viral challenges. Article content About ImmunoPrecise Antibodies Ltd. Article content ImmunoPrecise Antibodies Ltd. is a techbio 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 discovery and development of therapeutic antibodies and is known for solving 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'). 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 statements that certain actions, events, or results 'may,' 'will,' 'could,' or 'might' occur or be achieved. These statements include, but are not limited to, those related to the anticipated benefits, scalability, adoption, and broader application of the LENS ai ™ and HYFT® platforms; the advancement and regulatory acceptance of AI-native drug discovery and vaccine development methods; the expansion of IPA's discovery engine to additional infectious disease and oncology targets; and the Company's ongoing ability to maintain scientific, regulatory, and commercial momentum. 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. Such factors include, but are not limited to, scientific or technological developments, changes in regulatory requirements or acceptance, competitive or market dynamics, intellectual property protection and enforcement, integration or operational risks, and changes in economic or business conditions. 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
