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BEIJING, HANGZHOU, China and CAMBRIDGE, Mass., May 20, 2026 /PRNewswire/ -- METiS TechBio (7666.HK), a global leader in AI-powered drug delivery innovation, today announced that new preclinical data from its heart-targeted LNP program has been selected for a Late-Breaking oral presentation at the 2026 Controlled Release Society (CRS) Annual Meeting. Dr. Andong Liu, Vice President and Head of Technology Platform at METiS TechBio, will deliver a Late-Breaking oral presentation at the 2026 CRS Annual Meeting in Lisbon, Portugal, this July. The presentation is titled "Systemic Heart-Selective Lipid Nanoparticles for High-Efficiency In Vivo Delivery and Cardiomyocyte Gene Editing."
In this study, leveraging its proprietary NanoForge AI nanodelivery platform, METiS TechBio achieved near-complete (~100%) cardiomyocyte transfection and significant gene editing following intravenous administration through AI-driven lipid discovery, formulation optimization, and active targeting ligand engineering. The selection of these findings for a Late-Breaking oral presentation at this year's CRS Annual Meeting represents a significant advance in extrahepatic LNP delivery, establishing a first-in-class precision delivery capability to cardiomyocytes.
The heart has long been considered one of the most challenging organs for extrahepatic LNP delivery. Cardiomyocytes, due to their high density and low endocytic activity, are widely recognized in the industry as one of the most difficult cell types for efficient delivery. Achieving near-complete cardiomyocyte transfection means that, for the first time, genetic medicines may be able to reach cardiomyocytes via systemic administration with substantially improved precision and efficiency while reducing off-target risks. This opens up new therapeutic possibilities for major cardiovascular diseases and clinical needs, including hereditary cardiomyopathies, heart failure, and post-myocardial infarction repair. It also signals that AI-driven organ-targeted delivery technology is advancing from proof-of-concept toward potential clinical value.
"Extrahepatic delivery remains one of the most important challenges in genetic medicine," said Dr. Chris Lai, Chairman and CEO of METiS TechBio. "These findings demonstrate the potential of our AI-driven NanoForge platform to enable precise delivery to cardiomyocytes, which could open new possibilities for in vivo gene editing therapies targeting cardiovascular diseases."
Lipid nanoparticles (LNPs) are a versatile and clinically validated non-viral platform for delivering large genetic payloads. However, achieving organ-specific delivery beyond the liver remains a major unresolved challenge in the field of genetic medicine. In this study, METiS TechBio utilized the high-throughput in vivo screening system and AI lipid design engine under the NanoForge platform to identify LNPs with specific tissue tropism. The research team evaluated candidate LNPs in mTmG mouse models, using Cre-mRNA to induce eGFP expression as a readout for functional intracellular delivery. After identifying lead lipids with heart-specific tropism, the team further optimized the formulation to enhance cellular uptake, and subsequently functionalized the particles with antibody-targeting ligands to generate actively targeted LNPs (tLNPs). To evaluate their therapeutic potential, lead tLNPs were used to deliver the CRISPR-Cas9 system to quantify gene editing efficiency in the myocardium.
The initial lead lipids exhibited a cardiomyocyte delivery efficiency of ~30%, which increased to ~70% following formulation optimization. Upon functionalization with targeting ligands, the cardiomyocyte-targeted tLNP (CM-tLNP) achieved near-complete (~100%) cardiomyocyte transfection. Furthermore, delivery of the CRISPR-Cas9 system resulted in significant genomic editing within the myocardium, confirming the strong therapeutic potential of the platform for cardiac applications.
NanoForge is the world's first AI nanodelivery platform independently developed by METiS TechBio. It features the world's largest ionizable lipid library at the scale of tens of millions, a proprietary lipid de novo generation algorithm and lipid language model, the world's first end-to-end lipid and lipid nanoparticle (LNP) screening platform, and an original AI-powered multiscale simulation platform for small-molecule formulation development. Building upon NanoForge, the Company has developed three major technology solutions: AiTEM, AiLNP, and AiRNA. The AiLNP platform currently provides deep analytical insights through artificial intelligence and molecular dynamics simulations, predicts more than 20 lipid property parameters, and enables the design and optimization of key LNP components and their ratios to build customized, high-performance delivery systems.
Founded in 1978, the Controlled Release Society (CRS) is one of the world's most authoritative non-profit academic organizations in the fields of drug delivery systems and nanomedicine. With members from more than 50 countries and regions, CRS spans interdisciplinary fields including pharmaceutics, materials science, biomedical engineering, nucleic acid therapeutics, and translational medicine. The CRS Annual Meeting attracts thousands of experts from leading international universities, research institutions, and multinational pharmaceutical companies each year, and is regarded as a leading forum and launchpad for global drug delivery and nanomedicine technologies.
About METiS TechBio (7666.HK)
AI nanodelivery, unlocking a healthier future. METiS TechBio is a Hong Kong Stock Exchange-listed company driven by artificial intelligence (AI)-enabled nanomaterial innovation. The Company focuses on leveraging targeted drug delivery and drug discovery technologies to help lives overcome disease and aging, and regain health and vitality.
METiS TechBio was co-founded in 2020 by Dr. Hongmin Chen, a member of the U.S. National Academy of Engineering, together with MIT scientists Dr. Chris Lai and Dr. Wenshou Wang. On May 13, 2026, the Company was successfully listed on the Hong Kong Stock Exchange as the world's first publicly listed AI-powered drug delivery company. The Company has independently developed NanoForge, the world's first AI-powered nanodelivery platform, and possesses the world's largest LNP lipid library at the scale of tens of millions. Building upon NanoForge, it has created three core solutions: AiLNP (AI Nanodelivery System Design Platform), AiRNA (AI mRNA Sequence Design Platform), and AiTEM (AI Small-Molecule Formulation Design Platform).
The Company has achieved the capability to deliver precisely to eight key organs or tissues, including the liver, lungs, muscles, and immune cells. It has made breakthrough progress in addressing the challenges of multi-organ and multi-tissue targeted delivery, creating drug development opportunities in oncology, metabolic diseases, autoimmune diseases, neurodegenerative diseases, and other therapeutic areas, while also enabling organ-level anti-aging interventions.
BEIJING, HANGZHOU, China and CAMBRIDGE, Mass., May 20, 2026 /PRNewswire/ -- METiS TechBio (7666.HK), a global leader in AI-powered drug delivery innovation, today announced that new preclinical data from its heart-targeted LNP program has been selected for a Late-Breaking oral presentation at the 2026 Controlled Release Society (CRS) Annual Meeting. Dr. Andong Liu, Vice President and Head of Technology Platform at METiS TechBio, will deliver a Late-Breaking oral presentation at the 2026 CRS Annual Meeting in Lisbon, Portugal, this July. The presentation is titled "Systemic Heart-Selective Lipid Nanoparticles for High-Efficiency In Vivo Delivery and Cardiomyocyte Gene Editing."
In this study, leveraging its proprietary NanoForge AI nanodelivery platform, METiS TechBio achieved near-complete (~100%) cardiomyocyte transfection and significant gene editing following intravenous administration through AI-driven lipid discovery, formulation optimization, and active targeting ligand engineering. The selection of these findings for a Late-Breaking oral presentation at this year's CRS Annual Meeting represents a significant advance in extrahepatic LNP delivery, establishing a first-in-class precision delivery capability to cardiomyocytes.
The heart has long been considered one of the most challenging organs for extrahepatic LNP delivery. Cardiomyocytes, due to their high density and low endocytic activity, are widely recognized in the industry as one of the most difficult cell types for efficient delivery. Achieving near-complete cardiomyocyte transfection means that, for the first time, genetic medicines may be able to reach cardiomyocytes via systemic administration with substantially improved precision and efficiency while reducing off-target risks. This opens up new therapeutic possibilities for major cardiovascular diseases and clinical needs, including hereditary cardiomyopathies, heart failure, and post-myocardial infarction repair. It also signals that AI-driven organ-targeted delivery technology is advancing from proof-of-concept toward potential clinical value.
"Extrahepatic delivery remains one of the most important challenges in genetic medicine," said Dr. Chris Lai, Chairman and CEO of METiS TechBio. "These findings demonstrate the potential of our AI-driven NanoForge platform to enable precise delivery to cardiomyocytes, which could open new possibilities for in vivo gene editing therapies targeting cardiovascular diseases."
Lipid nanoparticles (LNPs) are a versatile and clinically validated non-viral platform for delivering large genetic payloads. However, achieving organ-specific delivery beyond the liver remains a major unresolved challenge in the field of genetic medicine. In this study, METiS TechBio utilized the high-throughput in vivo screening system and AI lipid design engine under the NanoForge platform to identify LNPs with specific tissue tropism. The research team evaluated candidate LNPs in mTmG mouse models, using Cre-mRNA to induce eGFP expression as a readout for functional intracellular delivery. After identifying lead lipids with heart-specific tropism, the team further optimized the formulation to enhance cellular uptake, and subsequently functionalized the particles with antibody-targeting ligands to generate actively targeted LNPs (tLNPs). To evaluate their therapeutic potential, lead tLNPs were used to deliver the CRISPR-Cas9 system to quantify gene editing efficiency in the myocardium.
The initial lead lipids exhibited a cardiomyocyte delivery efficiency of ~30%, which increased to ~70% following formulation optimization. Upon functionalization with targeting ligands, the cardiomyocyte-targeted tLNP (CM-tLNP) achieved near-complete (~100%) cardiomyocyte transfection. Furthermore, delivery of the CRISPR-Cas9 system resulted in significant genomic editing within the myocardium, confirming the strong therapeutic potential of the platform for cardiac applications.
NanoForge is the world's first AI nanodelivery platform independently developed by METiS TechBio. It features the world's largest ionizable lipid library at the scale of tens of millions, a proprietary lipid de novo generation algorithm and lipid language model, the world's first end-to-end lipid and lipid nanoparticle (LNP) screening platform, and an original AI-powered multiscale simulation platform for small-molecule formulation development. Building upon NanoForge, the Company has developed three major technology solutions: AiTEM, AiLNP, and AiRNA. The AiLNP platform currently provides deep analytical insights through artificial intelligence and molecular dynamics simulations, predicts more than 20 lipid property parameters, and enables the design and optimization of key LNP components and their ratios to build customized, high-performance delivery systems.
Founded in 1978, the Controlled Release Society (CRS) is one of the world's most authoritative non-profit academic organizations in the fields of drug delivery systems and nanomedicine. With members from more than 50 countries and regions, CRS spans interdisciplinary fields including pharmaceutics, materials science, biomedical engineering, nucleic acid therapeutics, and translational medicine. The CRS Annual Meeting attracts thousands of experts from leading international universities, research institutions, and multinational pharmaceutical companies each year, and is regarded as a leading forum and launchpad for global drug delivery and nanomedicine technologies.
About METiS TechBio (7666.HK)
AI nanodelivery, unlocking a healthier future. METiS TechBio is a Hong Kong Stock Exchange-listed company driven by artificial intelligence (AI)-enabled nanomaterial innovation. The Company focuses on leveraging targeted drug delivery and drug discovery technologies to help lives overcome disease and aging, and regain health and vitality.
METiS TechBio was co-founded in 2020 by Dr. Hongmin Chen, a member of the U.S. National Academy of Engineering, together with MIT scientists Dr. Chris Lai and Dr. Wenshou Wang. On May 13, 2026, the Company was successfully listed on the Hong Kong Stock Exchange as the world's first publicly listed AI-powered drug delivery company. The Company has independently developed NanoForge, the world's first AI-powered nanodelivery platform, and possesses the world's largest LNP lipid library at the scale of tens of millions. Building upon NanoForge, it has created three core solutions: AiLNP (AI Nanodelivery System Design Platform), AiRNA (AI mRNA Sequence Design Platform), and AiTEM (AI Small-Molecule Formulation Design Platform).
The Company has achieved the capability to deliver precisely to eight key organs or tissues, including the liver, lungs, muscles, and immune cells. It has made breakthrough progress in addressing the challenges of multi-organ and multi-tissue targeted delivery, creating drug development opportunities in oncology, metabolic diseases, autoimmune diseases, neurodegenerative diseases, and other therapeutic areas, while also enabling organ-level anti-aging interventions.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
METiS TechBio to Present Late-Breaking Data on Near-Complete Cardiomyocyte Delivery at CRS 2026
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SINGAPORE, May 20, 2026 /PRNewswire/ -- At ATxSummit 2026, hosted by the Infocomm Media Development Authority of Singapore (IMDA), Minister for Digital Development and Information Mrs Josephine Teo unveiled new global partnerships and initiatives to strengthen Singapore's position as a leading AI hub. These announcements mark a shift from exploring AI tools to building, deploying and governing real-world AI systems that deliver impact. As recently highlighted by the Economic Strategic Review committee, Singapore aims to be a trusted hub to develop, test and deploy AI solutions that solve real-world problems at scale.
Singapore Government and eight industry leaders to research, test and deploy physical AI in Punggol Digital District
IMDA, JTC and the Singapore Institute of Technology (SIT) are collaborating with eight industry leaders to bring physical AI into the real world at Punggol Digital District (PDD). Launching later in 2026, the testbed will be Singapore's first scaled mixed-use public space for multi-use case and multi-operator physical AI deployments. Certis, DHL, Grab and QuikBot will be among the first to co-design, deploy, test and validate commercially viable robotics services, including food and parcel delivery, cleaning and security patrolling, to complement human operations. The testbed is facilitated with the Land Transport Authority (LTA) through a precinct-level exemption framework under the Active Mobility Act.
To strengthen Singapore's embodied AI (EAI) capabilities, IMDA and National Robotics Programme (NRP) will work with FieldAI and Thoughtworks, alongside companies like Slamtec, Unitree, and QuikBot, to develop and trial EAI use cases through SIT's new Centre for Intelligent Robotics at PDD.
Strengthening Singapore's AI Research Frontier
To sharpen Singapore's manufacturing advantage, NVIDIA is launching its Singapore AI research lab, its second research presence in Asia Pacific, focused on embodied and efficient AI with university researchers, industry partners, and government.
The lab will focus on two domains with manufacturing potential: Embodied AI, enabling intelligent systems to perceive, reason and act in the physical world, and Efficient AI computing, which optimises models and infrastructure to reduce compute costs, improve energy efficiency and support scalable AI deployment.
Accelerating AI for Public Good: New Industry Partnerships
The Ministry of Digital Development and Information (MDDI) and Google announced a new National AI partnership to expand collaboration with the Singapore Government. The partnership aims to harness frontier AI to address societal challenges, fostering an AI-ready workforce in Singapore, and creating a secure, trusted ecosystem.
MDDI and OpenAI signed a Memorandum of Understanding (MOU) on the "OpenAI for Singapore" initiative to strengthen Singapore as a hub for applied AI innovation. The MOU covers advancing applied AI innovation, building AI talent, and making AI accessible to citizens, enterprises and the public sector, backed by OpenAI's over S$300 million commitment to Singapore's AI ecosystem.
Building the foundations for trusted, scalable AI deployment
Singapore is advancing ecosystem-wide initiatives to support AI adoption in high-trust sectors like finance and the public sector, where reliability, governance and safety are critical.
Temus, a Temasek-established AI and digital transformation firm, will launch an AI Foundry to help enterprises scale AI solutions and develop talent pipelines. Supported by Digital Industry Singapore (DISG), the Foundry will hire 50 professionals and deploy them on enterprise projects including financial services and precision health.
A*STAR Institute for Infocomm Research (A*STAR I2R) is updating the MERaLiON (Multimodal Empathetic Reasoning and Learning in One Network) AI Model to advance capabilities, drive real-world use cases, and scale adoption. The updated MERaLiON AudioLLM v3 will deliver paralinguistic intelligence across Southeast Asian languages. MERaLiON will be available through cloud hosting, API access, and edge computing, including Apple silicon devices such as Mac and iPad.
Governance that keeps pace with AI
Singapore continues to take a practical, risk-based approach. Two initiatives reflected this approach:
- Updated Model AI Governance Framework for Agentic AI: First launched at the World Economic Forum in January 2026, the Model AI Governance Framework for Agentic AI ("MGF") has been updated with real-world case studies and new best practices contributed by over 50 organisations.
- Google Whitepaper on AI Agents: Google worked with CSA, GovTech Singapore, and IMDA to explore how AI agents can be safely and effectively used in the real world. The resulting Whitepaper provides guidance for governments looking to harness AI agents for public good.
As Singapore grows its AI ecosystem, these initiatives will help translate innovation to real-world impact, strengthening Singapore's position as a trusted global AI hub where businesses, researchers and governments can develop, test and deploy AI solutions at scale.
Minister for Digital Development and Information Mrs Josephine Teo attended an ASEAN-US AI Ministerial Roundtable on the sidelines of ATxSummit today. Bringing together ASEAN Digital Ministers, the ASEAN Secretariat, the US government, and industry leaders from Amazon and Google, the Roundtable marked the launch of "The Road to 50 Years of ASEAN-US Relations" under the ASEAN-US Comprehensive Strategic Partnership. Discussions centred on inclusive AI adoption across the region.
For more information on ATxSG, please visit asiatechxsg.com.
Media: atxsg.imda@archetype.co
SINGAPORE, May 20, 2026 /PRNewswire/ -- At ATxSummit 2026, hosted by the Infocomm Media Development Authority of Singapore (IMDA), Minister for Digital Development and Information Mrs Josephine Teo unveiled new global partnerships and initiatives to strengthen Singapore's position as a leading AI hub. These announcements mark a shift from exploring AI tools to building, deploying and governing real-world AI systems that deliver impact. As recently highlighted by the Economic Strategic Review committee, Singapore aims to be a trusted hub to develop, test and deploy AI solutions that solve real-world problems at scale.
Singapore Government and eight industry leaders to research, test and deploy physical AI in Punggol Digital District
IMDA, JTC and the Singapore Institute of Technology (SIT) are collaborating with eight industry leaders to bring physical AI into the real world at Punggol Digital District (PDD). Launching later in 2026, the testbed will be Singapore's first scaled mixed-use public space for multi-use case and multi-operator physical AI deployments. Certis, DHL, Grab and QuikBot will be among the first to co-design, deploy, test and validate commercially viable robotics services, including food and parcel delivery, cleaning and security patrolling, to complement human operations. The testbed is facilitated with the Land Transport Authority (LTA) through a precinct-level exemption framework under the Active Mobility Act.
To strengthen Singapore's embodied AI (EAI) capabilities, IMDA and National Robotics Programme (NRP) will work with FieldAI and Thoughtworks, alongside companies like Slamtec, Unitree, and QuikBot, to develop and trial EAI use cases through SIT's new Centre for Intelligent Robotics at PDD.
Strengthening Singapore's AI Research Frontier
To sharpen Singapore's manufacturing advantage, NVIDIA is launching its Singapore AI research lab, its second research presence in Asia Pacific, focused on embodied and efficient AI with university researchers, industry partners, and government.
The lab will focus on two domains with manufacturing potential: Embodied AI, enabling intelligent systems to perceive, reason and act in the physical world, and Efficient AI computing, which optimises models and infrastructure to reduce compute costs, improve energy efficiency and support scalable AI deployment.
Accelerating AI for Public Good: New Industry Partnerships
The Ministry of Digital Development and Information (MDDI) and Google announced a new National AI partnership to expand collaboration with the Singapore Government. The partnership aims to harness frontier AI to address societal challenges, fostering an AI-ready workforce in Singapore, and creating a secure, trusted ecosystem.
MDDI and OpenAI signed a Memorandum of Understanding (MOU) on the "OpenAI for Singapore" initiative to strengthen Singapore as a hub for applied AI innovation. The MOU covers advancing applied AI innovation, building AI talent, and making AI accessible to citizens, enterprises and the public sector, backed by OpenAI's over S$300 million commitment to Singapore's AI ecosystem.
Building the foundations for trusted, scalable AI deployment
Singapore is advancing ecosystem-wide initiatives to support AI adoption in high-trust sectors like finance and the public sector, where reliability, governance and safety are critical.
Temus, a Temasek-established AI and digital transformation firm, will launch an AI Foundry to help enterprises scale AI solutions and develop talent pipelines. Supported by Digital Industry Singapore (DISG), the Foundry will hire 50 professionals and deploy them on enterprise projects including financial services and precision health.
A*STAR Institute for Infocomm Research (A*STAR I2R) is updating the MERaLiON (Multimodal Empathetic Reasoning and Learning in One Network) AI Model to advance capabilities, drive real-world use cases, and scale adoption. The updated MERaLiON AudioLLM v3 will deliver paralinguistic intelligence across Southeast Asian languages. MERaLiON will be available through cloud hosting, API access, and edge computing, including Apple silicon devices such as Mac and iPad.
Governance that keeps pace with AI
Singapore continues to take a practical, risk-based approach. Two initiatives reflected this approach:
- Updated Model AI Governance Framework for Agentic AI: First launched at the World Economic Forum in January 2026, the Model AI Governance Framework for Agentic AI ("MGF") has been updated with real-world case studies and new best practices contributed by over 50 organisations.
- Google Whitepaper on AI Agents: Google worked with CSA, GovTech Singapore, and IMDA to explore how AI agents can be safely and effectively used in the real world. The resulting Whitepaper provides guidance for governments looking to harness AI agents for public good.
As Singapore grows its AI ecosystem, these initiatives will help translate innovation to real-world impact, strengthening Singapore's position as a trusted global AI hub where businesses, researchers and governments can develop, test and deploy AI solutions at scale.
Minister for Digital Development and Information Mrs Josephine Teo attended an ASEAN-US AI Ministerial Roundtable on the sidelines of ATxSummit today. Bringing together ASEAN Digital Ministers, the ASEAN Secretariat, the US government, and industry leaders from Amazon and Google, the Roundtable marked the launch of "The Road to 50 Years of ASEAN-US Relations" under the ASEAN-US Comprehensive Strategic Partnership. Discussions centred on inclusive AI adoption across the region.
For more information on ATxSG, please visit asiatechxsg.com.
Media: atxsg.imda@archetype.co
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Singapore Deepens AI Ecosystem with Global Collaborators to Accelerate Real-World Deployment
