NEW YORK–(BUSINESS WIRE)–PVH Corp. [NYSE: PVH] today announced the launch of the PVH Foundation’s Runway Ahead initiative designed to support the next generation of talent. Launching with a $10 million investment through 2030, the Runway Ahead program reflects the PVH Foundation’s long-term commitment to broadening access across the fashion industry. Focused on building a more inclusive and innovative future for fashion, Runway Ahead provides emerging designers and students with mentorship op
Author: sHq_LoGiNz
NEW YORK–(BUSINESS WIRE)–PVH Corp. [NYSE: PVH] today announced the launch of the PVH Foundation’s Runway Ahead initiative designed to support the next generation of talent. Launching with a $10 million investment through 2030, the Runway Ahead program reflects the PVH Foundation’s long-term commitment to broadening access across the fashion industry. Focused on building a more inclusive and innovative future for fashion, Runway Ahead provides emerging designers and students with mentorship op
Dyad, the world’s first-to-market agentic AI platform for hardware engineering, brings physical AI to complex systems design and testing, compressing R&D time from months to mere days.
CAMBRIDGE, Mass., April 30, 2026 /PRNewswire/ — Today, JuliaHub announces the launch of Dyad 3.0 and a $65M series B funding round led by Dorilton Capital, with participation from General Catalyst, AE Ventures, and technology investor and former Snowflake CEO Bob Muglia. Dyad marks a fundamental shift in how physical systems are designed and built, bringing autonomous AI agents into the digital design and testing of industrial machines. From heat pumps to satellites to semiconductors, engineering teams can compress cycles of design, testing, and building from months to minutes. Several Fortune 100 companies are already leveraging Dyad and Julia across several industrial sectors such as aerospace, government, automotive, HVAC, and utilities.
Daniel Freeman, who led the Series B round for Dorilton Capital, commented: “Systems modeling is one of the most strategically important layers of the AI-native engineering stack, because it is where physics, control logic, and AI converge. JuliaHub has built something extraordinary with Dyad: a platform that doesn’t just model systems, but compiles them, taking engineers from concept to production control code in a single environment. We believe JuliaHub has the potential to become one of the defining companies in Physical AI, and we’re proud to back the team as they accelerate Dyad’s path to market.”
‘The hard problem’ of hardware innovation
Physical engineering represents one of the largest sectors yet to fully benefit from the AI revolution. While tools like Claude Code, Codex, and Gemini have transformed software development, industrial engineers have remained constrained by legacy tools. McKinsey estimates that a cumulative $106 trillion in investment will be necessary through 2040 to meet the need for new and updated infrastructure. The engineers planning and building these updates need a solution that allows them to move at the pace of AI-enhanced software. That’s where Dyad comes in.
Dyad gives engineering teams an AI-first environment to model, test and validate industrial systems: think Claude Code for the physical world. Dyad 3.0 launches today and builds on Dyad 1.0, which launched in June 2025, and Dyad 2.0, which launched in December 2025. Dyad connects autonomous agents with scalable physics simulations, rigorous controls, safety analysis, and the ability to generate code for embedded systems to bridge the gap between software and the real world. Whether it’s a wastewater facility or an automobile, a scientific PhD is no longer required to develop highly detailed digital twins, tweak controllers for specialized deployment scenarios, and iterate on hardware designs to build the most efficient machine right the first time.
“It’s not about helping engineers complete one small task at a time. It’s agentic engineering at scale, where teams can feed a full specification to Dyad and have it design the complete system. Spec in. Design out,” said Viral Shah, CEO of JuliaHub.
Digital Twins with Scientific Machine Learning
Dyad’s cloud-based agents are designed to continuously scan through the world’s scientific knowledge to constantly improve models. AI-automated lab testing is growing to ensure models match physical reality. Streaming data mixed with Scientific Machine Learning (SciML) makes it possible for models to automatically grow as the system learns from the real world. Dyad’s simulation ecosystem and language offer a foundation on which all of these learnings are relayed back to engineers to check the processes, determine whether assumptions match customer requirements, and be the human in the loop that ensures the safety of the final product. Dyad’s design means engineers do not have to write every line of code in order to try millions of designs while giving engineers the right tools to make sure planes stay in the sky.
Prith Banerjee, Senior Vice President of Innovation at Synopsys commenting on the partnership with JuliaHub says, “Dyad is transforming system-level engineering by combining scientific AI, agentic modeling, and a powerful compilation pipeline into a unified workflow. Integrated with Synopsys simulation software Ansys TwinAI™, it enables high fidelity hybrid digital twins by integrating physics-based simulation with data-driven models. What once required extensive manual effort can now be done far more efficiently, accelerating the entire digital engineering lifecycle and redefining how intelligent, software-defined systems are designed and validated.”
Dyad to implement AI for Science in the real world
General-purpose AI cannot guarantee that a model obeys the laws of physics. In physical engineering, an error is not a bug to be patched; it’s a bridge collapse or a battery fire. This has been the barrier blocking AI from playing a meaningful role in hardware engineering, until now. In recent agentic benchmarking for chemical process modeling, general LLM systems such as Codex, Claude Code (Opus), and Gemini barely completed the initial setup. Dyad almost entirely automated the whole process of creating model-predictive controllers to optimize yields of a chemical plant, a task that would typically take weeks.
“There is a disruptive transition occurring in engineering system design software, and Dyad is on the cutting edge. Previous generations of tools do not provide the promised productivity, or integration to unlock the value of AI. With Dyad, you can model the physics, develop control algorithms with auto code generation, and create accurate digital twins and surrogates for rapid development of deep learning inference models, all enabled by AI. Dyad operates where physics meets analytics, and customers and shareholders win!” said David Joyce, former CEO of GE Aviation and Vice Chair of GE.
Dyad’s modeling language is purpose-built to be easy for AI agents to understand. Its foundational logic is grounded in the laws of physics, allowing its agents to reason about how fluids move through machines, how wind speed and temperature affect components, and how fundamental forces like gravity shape design. This produces physically valid models that engineers can trust. For instance, in partnership with Binnies, a company with a 100-year heritage in water management, and Williams Grand Prix Technologies, JuliaHub developed a SciML–powered digital twin that uses just four sensor inputs to predict pump faults in water distribution systems with over 90% accuracy.
“Dyad represents a step-change for the water industry, enabling a move from reactive operations to predictive, system-level decision making,” said Tom Ray, Director of Digital Products & Services (Digital Twins & AI) at Binnies. “It has the potential to transform how companies model real-world complexity, predict failure, and optimize performance every day.”
Join us for the Dyad 3.0 Launch event
Dyad 3.0 will be officially unveiled at a live event next month on May 19. Join us to see live product demonstrations and hear from our customers on how they use Dyad across industries ranging from Aerospace to HVAC to utilities to Robotics.
For more information and media inquiries, contact: press@juliahub.com
About JuliaHub
JuliaHub is a leader in Scientific AI, and its mission is to empower those tackling the world’s toughest scientific and technical challenges with cutting-edge AI-first tools in a seamless, secure environment. The company was founded in 2015 by the creators of Julia, the high-performance open-source language developed at MIT and now used by over a million developers worldwide. JuliaHub combines advanced mathematical computing and machine learning expertise to enable Scientific Machine Learning (SciML) techniques, Digital Twin solutions, and next-generation modeling and simulation in aerospace, automotive and other industrial verticals.
Photo: https://mma.prnewswire.com/media/2970068/Satellite_Photovoltaics_JuliaHub_Dyad.jpg
Photo: https://mma.prnewswire.com/media/2970067/Cooling_circuit_JuliaHub_Dyad.jpg
Logo: https://mma.prnewswire.com/media/2826187/JULIAHUB_Logo.jpg
View original content to download multimedia:https://www.prnewswire.com/news-releases/juliahub-raises-65m-series-b-and-launches-dyad-3-0–bringing-agentic-ai-to-industrial-digital-twins-302758881.html
SOURCE JuliaHub
Dyad, the world’s first-to-market agentic AI platform for hardware engineering, brings physical AI to complex systems design and testing, compressing R&D time from months to mere days.
CAMBRIDGE, Mass., April 30, 2026 /PRNewswire/ — Today, JuliaHub announces the launch of Dyad 3.0 and a $65M series B funding round led by Dorilton Capital, with participation from General Catalyst, AE Ventures, and technology investor and former Snowflake CEO Bob Muglia. Dyad marks a fundamental shift in how physical systems are designed and built, bringing autonomous AI agents into the digital design and testing of industrial machines. From heat pumps to satellites to semiconductors, engineering teams can compress cycles of design, testing, and building from months to minutes. Several Fortune 100 companies are already leveraging Dyad and Julia across several industrial sectors such as aerospace, government, automotive, HVAC, and utilities.
Daniel Freeman, who led the Series B round for Dorilton Capital, commented: “Systems modeling is one of the most strategically important layers of the AI-native engineering stack, because it is where physics, control logic, and AI converge. JuliaHub has built something extraordinary with Dyad: a platform that doesn’t just model systems, but compiles them, taking engineers from concept to production control code in a single environment. We believe JuliaHub has the potential to become one of the defining companies in Physical AI, and we’re proud to back the team as they accelerate Dyad’s path to market.”
‘The hard problem’ of hardware innovation
Physical engineering represents one of the largest sectors yet to fully benefit from the AI revolution. While tools like Claude Code, Codex, and Gemini have transformed software development, industrial engineers have remained constrained by legacy tools. McKinsey estimates that a cumulative $106 trillion in investment will be necessary through 2040 to meet the need for new and updated infrastructure. The engineers planning and building these updates need a solution that allows them to move at the pace of AI-enhanced software. That’s where Dyad comes in.
Dyad gives engineering teams an AI-first environment to model, test and validate industrial systems: think Claude Code for the physical world. Dyad 3.0 launches today and builds on Dyad 1.0, which launched in June 2025, and Dyad 2.0, which launched in December 2025. Dyad connects autonomous agents with scalable physics simulations, rigorous controls, safety analysis, and the ability to generate code for embedded systems to bridge the gap between software and the real world. Whether it’s a wastewater facility or an automobile, a scientific PhD is no longer required to develop highly detailed digital twins, tweak controllers for specialized deployment scenarios, and iterate on hardware designs to build the most efficient machine right the first time.
“It’s not about helping engineers complete one small task at a time. It’s agentic engineering at scale, where teams can feed a full specification to Dyad and have it design the complete system. Spec in. Design out,” said Viral Shah, CEO of JuliaHub.
Digital Twins with Scientific Machine Learning
Dyad’s cloud-based agents are designed to continuously scan through the world’s scientific knowledge to constantly improve models. AI-automated lab testing is growing to ensure models match physical reality. Streaming data mixed with Scientific Machine Learning (SciML) makes it possible for models to automatically grow as the system learns from the real world. Dyad’s simulation ecosystem and language offer a foundation on which all of these learnings are relayed back to engineers to check the processes, determine whether assumptions match customer requirements, and be the human in the loop that ensures the safety of the final product. Dyad’s design means engineers do not have to write every line of code in order to try millions of designs while giving engineers the right tools to make sure planes stay in the sky.
Prith Banerjee, Senior Vice President of Innovation at Synopsys commenting on the partnership with JuliaHub says, “Dyad is transforming system-level engineering by combining scientific AI, agentic modeling, and a powerful compilation pipeline into a unified workflow. Integrated with Synopsys simulation software Ansys TwinAI™, it enables high fidelity hybrid digital twins by integrating physics-based simulation with data-driven models. What once required extensive manual effort can now be done far more efficiently, accelerating the entire digital engineering lifecycle and redefining how intelligent, software-defined systems are designed and validated.”
Dyad to implement AI for Science in the real world
General-purpose AI cannot guarantee that a model obeys the laws of physics. In physical engineering, an error is not a bug to be patched; it’s a bridge collapse or a battery fire. This has been the barrier blocking AI from playing a meaningful role in hardware engineering, until now. In recent agentic benchmarking for chemical process modeling, general LLM systems such as Codex, Claude Code (Opus), and Gemini barely completed the initial setup. Dyad almost entirely automated the whole process of creating model-predictive controllers to optimize yields of a chemical plant, a task that would typically take weeks.
“There is a disruptive transition occurring in engineering system design software, and Dyad is on the cutting edge. Previous generations of tools do not provide the promised productivity, or integration to unlock the value of AI. With Dyad, you can model the physics, develop control algorithms with auto code generation, and create accurate digital twins and surrogates for rapid development of deep learning inference models, all enabled by AI. Dyad operates where physics meets analytics, and customers and shareholders win!” said David Joyce, former CEO of GE Aviation and Vice Chair of GE.
Dyad’s modeling language is purpose-built to be easy for AI agents to understand. Its foundational logic is grounded in the laws of physics, allowing its agents to reason about how fluids move through machines, how wind speed and temperature affect components, and how fundamental forces like gravity shape design. This produces physically valid models that engineers can trust. For instance, in partnership with Binnies, a company with a 100-year heritage in water management, and Williams Grand Prix Technologies, JuliaHub developed a SciML–powered digital twin that uses just four sensor inputs to predict pump faults in water distribution systems with over 90% accuracy.
“Dyad represents a step-change for the water industry, enabling a move from reactive operations to predictive, system-level decision making,” said Tom Ray, Director of Digital Products & Services (Digital Twins & AI) at Binnies. “It has the potential to transform how companies model real-world complexity, predict failure, and optimize performance every day.”
Join us for the Dyad 3.0 Launch event
Dyad 3.0 will be officially unveiled at a live event next month on May 19. Join us to see live product demonstrations and hear from our customers on how they use Dyad across industries ranging from Aerospace to HVAC to utilities to Robotics.
For more information and media inquiries, contact: press@juliahub.com
About JuliaHub
JuliaHub is a leader in Scientific AI, and its mission is to empower those tackling the world’s toughest scientific and technical challenges with cutting-edge AI-first tools in a seamless, secure environment. The company was founded in 2015 by the creators of Julia, the high-performance open-source language developed at MIT and now used by over a million developers worldwide. JuliaHub combines advanced mathematical computing and machine learning expertise to enable Scientific Machine Learning (SciML) techniques, Digital Twin solutions, and next-generation modeling and simulation in aerospace, automotive and other industrial verticals.
Photo: https://mma.prnewswire.com/media/2970068/Satellite_Photovoltaics_JuliaHub_Dyad.jpg
Photo: https://mma.prnewswire.com/media/2970067/Cooling_circuit_JuliaHub_Dyad.jpg
Logo: https://mma.prnewswire.com/media/2826187/JULIAHUB_Logo.jpg
View original content to download multimedia:https://www.prnewswire.com/news-releases/juliahub-raises-65m-series-b-and-launches-dyad-3-0–bringing-agentic-ai-to-industrial-digital-twins-302758881.html
SOURCE JuliaHub
As global trade grows more complex, businesses are moving away from fragmented supply chains toward fully integrated logistics solutions. DP World is at the forefront of this shift – delivering connected, end-to-end services that simplify operations and unlock greater efficiency.
From Fragmentation to Integration
Traditional supply chains rely on multiple providers, often creating inefficiencies at every handoff. DP World streamlines this model by offering a single, integrated logistics solution – connecting ports, terminals, warehousing, customs, and inland transportation into one coordinated system.
This end-to-end approach reduces delays, improves coordination, and gives businesses greater control over their cargo from origin to final delivery.
Learn more about DP World’s logistics
Multimodal Logistics, Seamlessly Connected
DP World enables true multimodal logistics by integrating ocean, air, rail, and road services into a unified network. Rather than managing each mode separately, customers benefit from a synchronized system designed to optimize speed, cost, and reliability.
The result is a more agile supply chain that can adapt quickly to disruptions and shifting market demands.
End-to-End Visibility
Visibility is critical in today’s logistics environment. DP World provides real-time, end-to-end tracking and insights, allowing businesses to monitor shipments at every stage.
This transparency helps companies anticipate disruptions, make faster decisions, and deliver a more reliable customer experience.
Tailored Logistics Solutions
Recognizing that every supply chain is unique, DP World offers customized logistics services to meet specific industry and market needs. From contract logistics and warehousing to eCommerce fulfillment and distribution, solutions are designed to scale with business growth.
- Comprehensive Logistics Solutions – Our growing service spans order and origin management, port handling and freight management for road, rail, air, and sea.
- At-Destination Services – We offer bespoke solutions including customs, drayage, logistics, last-mile delivery, deconsolidation, and bonded warehousing services.
- Value-Added Services – Our variety of value-add services include customs, embedded trade finance, commodity-specific services, and cars in containers, transload, and advanced hubs.
- Simple Booking Management – All accessed through a single digital window backed by an integrated Global Services Center, providing visibility and tracking of goods in real time to easily manager your cargo journey.
A Single Partner for Global Trade
With a global network of ports, logistics hubs, and services, DP World acts as a single logistics partner – reducing complexity while improving efficiency across the supply chain. By combining infrastructure, technology, and expertise, DP World’s integrated logistics services go beyond transportation – they create smarter, more resilient supply chains.
By simplifying complexity and enhancing visibility, DP World helps businesses stay competitive in an increasingly dynamic global economy.
Discover how integrated logistics can unlock your next phase of growth with DP World
Strategic Logistics Hubs Across North America
Our logistics hubs and smart supply chain services keep imports and exports flowing.
Perris, California – Free Trade Zone facility in the Inland Empire offering duty deferral, customs flexibility, and full supply-chain control for faster, lower-cost U.S. distribution.
- Located at 22305 Old Oleander Ave, Perris CA 92570
Miami, Florida – 108,000-SF gateway to the Americas with direct links to Port Miami and Miami International Airport for fast, scalable regional fulfillment.
- Located at 7725 NW 41st St, Doral, FL 33166
Brampton, Ontario
LEED-certified 174,000-SF hub near Toronto Pearson Airport connecting Canada and U.S. markets with secure, temperature-controlled storage.
- Located at 15 Bramalea Rd, Brampton, ON L6T 2W7, Canada
Queretaro, Mexico
117,000-SF facility in La Bomba Industrial Park with road and air access, built for integrated production, warehousing, and distribution.
- Located in the La Bomba Industrial Park located on Mexico-Querétaro Highway, Federal Highway number 57, km 194+813, El Colorado, El Marques, Queretaro
Middletown, Pennsylvania
Centrally located in the U.S. Northeast with multimodal access and flexible space designed for fast B2B and B2C fulfillment.
- Located at 140 Fulling Mill Road, Middletown, PA 17057
Oliver Branch, Mississippi
Strategically positioned near Memphis’ air, road, and rail corridors, providing efficient, scalable logistics coverage across the southeastern U.S.
- 11244 S Distribution Cove, Olive Branch, MS 38654
As global trade grows more complex, businesses are moving away from fragmented supply chains toward fully integrated logistics solutions. DP World is at the forefront of this shift – delivering connected, end-to-end services that simplify operations and unlock greater efficiency.
From Fragmentation to Integration
Traditional supply chains rely on multiple providers, often creating inefficiencies at every handoff. DP World streamlines this model by offering a single, integrated logistics solution – connecting ports, terminals, warehousing, customs, and inland transportation into one coordinated system.
This end-to-end approach reduces delays, improves coordination, and gives businesses greater control over their cargo from origin to final delivery.
Learn more about DP World’s logistics
Multimodal Logistics, Seamlessly Connected
DP World enables true multimodal logistics by integrating ocean, air, rail, and road services into a unified network. Rather than managing each mode separately, customers benefit from a synchronized system designed to optimize speed, cost, and reliability.
The result is a more agile supply chain that can adapt quickly to disruptions and shifting market demands.
End-to-End Visibility
Visibility is critical in today’s logistics environment. DP World provides real-time, end-to-end tracking and insights, allowing businesses to monitor shipments at every stage.
This transparency helps companies anticipate disruptions, make faster decisions, and deliver a more reliable customer experience.
Tailored Logistics Solutions
Recognizing that every supply chain is unique, DP World offers customized logistics services to meet specific industry and market needs. From contract logistics and warehousing to eCommerce fulfillment and distribution, solutions are designed to scale with business growth.
- Comprehensive Logistics Solutions – Our growing service spans order and origin management, port handling and freight management for road, rail, air, and sea.
- At-Destination Services – We offer bespoke solutions including customs, drayage, logistics, last-mile delivery, deconsolidation, and bonded warehousing services.
- Value-Added Services – Our variety of value-add services include customs, embedded trade finance, commodity-specific services, and cars in containers, transload, and advanced hubs.
- Simple Booking Management – All accessed through a single digital window backed by an integrated Global Services Center, providing visibility and tracking of goods in real time to easily manager your cargo journey.
A Single Partner for Global Trade
With a global network of ports, logistics hubs, and services, DP World acts as a single logistics partner – reducing complexity while improving efficiency across the supply chain. By combining infrastructure, technology, and expertise, DP World’s integrated logistics services go beyond transportation – they create smarter, more resilient supply chains.
By simplifying complexity and enhancing visibility, DP World helps businesses stay competitive in an increasingly dynamic global economy.
Discover how integrated logistics can unlock your next phase of growth with DP World
Strategic Logistics Hubs Across North America
Our logistics hubs and smart supply chain services keep imports and exports flowing.
Perris, California – Free Trade Zone facility in the Inland Empire offering duty deferral, customs flexibility, and full supply-chain control for faster, lower-cost U.S. distribution.
- Located at 22305 Old Oleander Ave, Perris CA 92570
Miami, Florida – 108,000-SF gateway to the Americas with direct links to Port Miami and Miami International Airport for fast, scalable regional fulfillment.
- Located at 7725 NW 41st St, Doral, FL 33166
Brampton, Ontario
LEED-certified 174,000-SF hub near Toronto Pearson Airport connecting Canada and U.S. markets with secure, temperature-controlled storage.
- Located at 15 Bramalea Rd, Brampton, ON L6T 2W7, Canada
Queretaro, Mexico
117,000-SF facility in La Bomba Industrial Park with road and air access, built for integrated production, warehousing, and distribution.
- Located in the La Bomba Industrial Park located on Mexico-Querétaro Highway, Federal Highway number 57, km 194+813, El Colorado, El Marques, Queretaro
Middletown, Pennsylvania
Centrally located in the U.S. Northeast with multimodal access and flexible space designed for fast B2B and B2C fulfillment.
- Located at 140 Fulling Mill Road, Middletown, PA 17057
Oliver Branch, Mississippi
Strategically positioned near Memphis’ air, road, and rail corridors, providing efficient, scalable logistics coverage across the southeastern U.S.
- 11244 S Distribution Cove, Olive Branch, MS 38654
When Nour gave birth earlier than expected, her baby girl had serious health complications. Suffering from a weak pulse, difficulty breathing, and lung inflammation, the infant was immediately placed in an incubator for 10 days. During this time, hospital restrictions prevented Nour from seeing her daughter until the fifth day. Not only did this cause emotional distress, but it also made breastfeeding impossible.
When the baby was discharged, Nour’s attempts to breastfeed were unsuccessful. The baby couldn’t latch properly, and Nour had never seen any signs of milk production. With no financial means to purchase formula, she faced a daunting situation.
Everything changed when Action Against Hunger team, with the financial support of the Spanish Agency for International Development Cooperation (AECID), visited Nour’s family during a community outreach. At that time, Nour herself was struggling with her health. Her Mid-Upper Arm Circumference (MUAC) measured 219 mm, indicating malnutrition. She was immediately referred for treatment.
The team provided one-on-one nutrition counseling to Nour and supported her to try breastfeeding again during the visit. They offered information on breastfeeding techniques, benefits, and safe practices. Following the team’s recommendations, Nour’s baby was finally able to latch well, and for the first, milk began to flow. Overwhelmed with joy and relief, Nour’s hope for her baby’s future was reignited.
Over the following weeks, Action Against Hunger’s regular follow-ups supported Nour’s journey. While her milk supply was still limited, she was determined to continue breastfeeding. However, when financial barriers prevented her from buying formula, and her milk supply became too low, she resorted to feeding the baby sugar water—an unsafe and desperate decision.
Upon discovering this, the health team quickly informed her of the dangers of sugar water for babies and encouraged her to use hand expression to stimulate milk production. She was provided with sterile cups and a manual breast pump to support the effort. After a few days, her perseverance paid off. Her milk supply increased, and her baby began to show real signs of improvement.
At that time, Nour’s family became displaced by the escalating conflict in southern Lebanon. Yet, amidst the upheaval, she confirmed that she was still exclusively breastfeeding, and her baby’s health was improving daily. Weeks later, another call with Action Against Hunger confirmed a heartening milestone—Nour’s baby was steadily gaining weight. Nour had been able to navigate health challenges, conflict, and financial constraints with incredible resilience.
Nour’s determination to care for her child was bolstered with the counseling and resources offered by Action Against Hunger. That kind of timely humanitarian support remains essential for other families in Lebanon who face similar challenges. Action Against Hunger has reached 35,137 people so far this year with multi-sectoral assistance across the country.
***
Action Against Hunger leads the global movement to end hunger. We innovate solutions, advocate for change, and reach 26.5 million people every year with proven hunger prevention and treatment programs. As a nonprofit that works across over 55 countries, our 8,500+ dedicated staff members partner with communities to address the root causes of hunger, including climate change, conflict, inequity, and emergencies. We strive to create a world free from hunger, for everyone, for good.
When Nour gave birth earlier than expected, her baby girl had serious health complications. Suffering from a weak pulse, difficulty breathing, and lung inflammation, the infant was immediately placed in an incubator for 10 days. During this time, hospital restrictions prevented Nour from seeing her daughter until the fifth day. Not only did this cause emotional distress, but it also made breastfeeding impossible.
When the baby was discharged, Nour’s attempts to breastfeed were unsuccessful. The baby couldn’t latch properly, and Nour had never seen any signs of milk production. With no financial means to purchase formula, she faced a daunting situation.
Everything changed when Action Against Hunger team, with the financial support of the Spanish Agency for International Development Cooperation (AECID), visited Nour’s family during a community outreach. At that time, Nour herself was struggling with her health. Her Mid-Upper Arm Circumference (MUAC) measured 219 mm, indicating malnutrition. She was immediately referred for treatment.
The team provided one-on-one nutrition counseling to Nour and supported her to try breastfeeding again during the visit. They offered information on breastfeeding techniques, benefits, and safe practices. Following the team’s recommendations, Nour’s baby was finally able to latch well, and for the first, milk began to flow. Overwhelmed with joy and relief, Nour’s hope for her baby’s future was reignited.
Over the following weeks, Action Against Hunger’s regular follow-ups supported Nour’s journey. While her milk supply was still limited, she was determined to continue breastfeeding. However, when financial barriers prevented her from buying formula, and her milk supply became too low, she resorted to feeding the baby sugar water—an unsafe and desperate decision.
Upon discovering this, the health team quickly informed her of the dangers of sugar water for babies and encouraged her to use hand expression to stimulate milk production. She was provided with sterile cups and a manual breast pump to support the effort. After a few days, her perseverance paid off. Her milk supply increased, and her baby began to show real signs of improvement.
At that time, Nour’s family became displaced by the escalating conflict in southern Lebanon. Yet, amidst the upheaval, she confirmed that she was still exclusively breastfeeding, and her baby’s health was improving daily. Weeks later, another call with Action Against Hunger confirmed a heartening milestone—Nour’s baby was steadily gaining weight. Nour had been able to navigate health challenges, conflict, and financial constraints with incredible resilience.
Nour’s determination to care for her child was bolstered with the counseling and resources offered by Action Against Hunger. That kind of timely humanitarian support remains essential for other families in Lebanon who face similar challenges. Action Against Hunger has reached 35,137 people so far this year with multi-sectoral assistance across the country.
***
Action Against Hunger leads the global movement to end hunger. We innovate solutions, advocate for change, and reach 26.5 million people every year with proven hunger prevention and treatment programs. As a nonprofit that works across over 55 countries, our 8,500+ dedicated staff members partner with communities to address the root causes of hunger, including climate change, conflict, inequity, and emergencies. We strive to create a world free from hunger, for everyone, for good.
GENEVA, April 30, 2026 /3BL/ – The final installment of a three-part scientific State of Knowledge (SoK) paper series on tire wear emissions concludes that, while the understanding of tire wear emissions has advanced, current data to quantify human health impacts attributable to tire wear emissions remains inconclusive.
The review finds that differences in sampling approaches, detection techniques and analytical methodologies limit reliable comparison across studies and prevent robust risk assessment. In addition, based on the peer-reviewed literature studied, tire wear particles constitute only a small part of the overall airborne particulate matter, with similar or less potent effects compared to other particulate matter fractions.
Supported by the Tire Industry Project (TIP), part of the World Business Council for Sustainable Development (WBCSD), the SoK series represents the most comprehensive review of global science on tire wear emissions to date, analyzing more than 850 peer-reviewed scientific publications.
State of Knowledge series: Key findings from Paper 3
Independently authored by Kathrin Müller, Julie Panko, Kenny M. Unice, and Dr. Stephan Wagner, the paper Impacts of Tire Wear Emissions Compared to the Impacts of PM2.5 and PM10 on Humans reviews existing scientific knowledge on human exposure to tire and road wear particles (TRWP) and tire-related chemicals, concluding that:
- Tire wear particles make up only a small share of airborne particulate matter, typically less than 5% of PM 2.5 and PM 10 in urban environments.
- Toxicological studies to date do not show TRWP to be more harmful than general ambient particulate matter. Available in vivo and in vitro data indicates effects that are similar to or less potent than other airborne particle types.
- Despite growing interest, scientific evidence on human exposure to TRWP remains limited and inconclusive. Chemicals that are used in tire manufacturing are detectable in human body fluids, but their sources and exposure pathways have not been clearly linked specifically to tires, as many of these chemicals are used in a range of other applications.
- A major barrier to drawing firm conclusions is the lack of consistent global methods for sampling, analyzing, and characterizing tire wear emissions. Variability in methodologies across studies limits meaningful comparison and robust exposure or risk assessment.
Call for coordinated research efforts
As a result, the authors of the papers call for greater harmonization of research methodologies to improve identification, measurement and attribution of tire wear emissions. This need for coordinated efforts aligns with the conclusions of SoK Papers 1 and 2, which were published in 2025 and examined the characterization and quantification of tire wear emissions and their potential impacts on the environment.
The authors recommend that future research should identify potential exposure pathways and examine relevant health outcomes, including potential chronic effects, under realistic exposure conditions covering urban and suburban populations across different regions worldwide.
Dr. Stephan Wagner, one of the leading researchers of Paper 3, said: “Tire wear emissions are a complex topic that we still only partly understand, especially in relation to human health. While research has advanced our understanding of TRWP, the current data simply isn’t robust enough to quantify any potential health risks specifically linked to tire wear. Looking forward, cross-stakeholder collaboration is fundamental to making rapid progress. By aligning methods, sharing data, and focusing on real-world studies, we can build a stronger, more consistent evidence base to inform future decisions.”
Notes:
The State of Knowledge papers and supporting materials are available at https://tireparticles.info/our-research#sokpaper1, https://tireparticles.info/our-research#sokpaper2 and https://tireparticles.info/our-research#sokpaper3
- Kathrin Müller is a PhD Researcher at the Institute for Analytical Research (IfAR) at Hochschule Fresenius University of Applied Sciences in Idstein, Germany. Her PhD research is on the analysis of tire and road wear particles as environmental contaminants focusing on the identification of tire-borne environmental water contaminants.
- Julie Panko is Principal Scientist and Senior Vice President at ToxStrategies, a scientific consulting firm in the United States. She has more than 30 years of experience conducting and managing a wide variety of occupational, environmental, and consumer health risk assessments, including applied research regarding the potential for environmental impacts of tires throughout their lifecycle from manufacturing through end of life.
- Kenny Unice is Principal Computational Health Scientist at TRC Companies, Inc since 2026. Formerly a Principal Health Scientist and applied researcher at Stantec, he has more than 20 years’ experience investigating and driving understanding of how chemicals travel, persist or change in the environment to impact organisms and ecosystems.
- Dr. Stephan Wagner is Head of the Institute for Analytical Research at the Hochschule Fresenius University of Applied Sciences in Idstein, Germany. He is an expert in the analysis and fate of anthropogenic materials such as tire and road abrasion particles, micro and nano plastics, nano materials as well as organic trace contaminants in the (urban) water cycle.
GENEVA, April 30, 2026 /3BL/ – The final installment of a three-part scientific State of Knowledge (SoK) paper series on tire wear emissions concludes that, while the understanding of tire wear emissions has advanced, current data to quantify human health impacts attributable to tire wear emissions remains inconclusive.
The review finds that differences in sampling approaches, detection techniques and analytical methodologies limit reliable comparison across studies and prevent robust risk assessment. In addition, based on the peer-reviewed literature studied, tire wear particles constitute only a small part of the overall airborne particulate matter, with similar or less potent effects compared to other particulate matter fractions.
Supported by the Tire Industry Project (TIP), part of the World Business Council for Sustainable Development (WBCSD), the SoK series represents the most comprehensive review of global science on tire wear emissions to date, analyzing more than 850 peer-reviewed scientific publications.
State of Knowledge series: Key findings from Paper 3
Independently authored by Kathrin Müller, Julie Panko, Kenny M. Unice, and Dr. Stephan Wagner, the paper Impacts of Tire Wear Emissions Compared to the Impacts of PM2.5 and PM10 on Humans reviews existing scientific knowledge on human exposure to tire and road wear particles (TRWP) and tire-related chemicals, concluding that:
- Tire wear particles make up only a small share of airborne particulate matter, typically less than 5% of PM 2.5 and PM 10 in urban environments.
- Toxicological studies to date do not show TRWP to be more harmful than general ambient particulate matter. Available in vivo and in vitro data indicates effects that are similar to or less potent than other airborne particle types.
- Despite growing interest, scientific evidence on human exposure to TRWP remains limited and inconclusive. Chemicals that are used in tire manufacturing are detectable in human body fluids, but their sources and exposure pathways have not been clearly linked specifically to tires, as many of these chemicals are used in a range of other applications.
- A major barrier to drawing firm conclusions is the lack of consistent global methods for sampling, analyzing, and characterizing tire wear emissions. Variability in methodologies across studies limits meaningful comparison and robust exposure or risk assessment.
Call for coordinated research efforts
As a result, the authors of the papers call for greater harmonization of research methodologies to improve identification, measurement and attribution of tire wear emissions. This need for coordinated efforts aligns with the conclusions of SoK Papers 1 and 2, which were published in 2025 and examined the characterization and quantification of tire wear emissions and their potential impacts on the environment.
The authors recommend that future research should identify potential exposure pathways and examine relevant health outcomes, including potential chronic effects, under realistic exposure conditions covering urban and suburban populations across different regions worldwide.
Dr. Stephan Wagner, one of the leading researchers of Paper 3, said: “Tire wear emissions are a complex topic that we still only partly understand, especially in relation to human health. While research has advanced our understanding of TRWP, the current data simply isn’t robust enough to quantify any potential health risks specifically linked to tire wear. Looking forward, cross-stakeholder collaboration is fundamental to making rapid progress. By aligning methods, sharing data, and focusing on real-world studies, we can build a stronger, more consistent evidence base to inform future decisions.”
Notes:
The State of Knowledge papers and supporting materials are available at https://tireparticles.info/our-research#sokpaper1, https://tireparticles.info/our-research#sokpaper2 and https://tireparticles.info/our-research#sokpaper3
- Kathrin Müller is a PhD Researcher at the Institute for Analytical Research (IfAR) at Hochschule Fresenius University of Applied Sciences in Idstein, Germany. Her PhD research is on the analysis of tire and road wear particles as environmental contaminants focusing on the identification of tire-borne environmental water contaminants.
- Julie Panko is Principal Scientist and Senior Vice President at ToxStrategies, a scientific consulting firm in the United States. She has more than 30 years of experience conducting and managing a wide variety of occupational, environmental, and consumer health risk assessments, including applied research regarding the potential for environmental impacts of tires throughout their lifecycle from manufacturing through end of life.
- Kenny Unice is Principal Computational Health Scientist at TRC Companies, Inc since 2026. Formerly a Principal Health Scientist and applied researcher at Stantec, he has more than 20 years’ experience investigating and driving understanding of how chemicals travel, persist or change in the environment to impact organisms and ecosystems.
- Dr. Stephan Wagner is Head of the Institute for Analytical Research at the Hochschule Fresenius University of Applied Sciences in Idstein, Germany. He is an expert in the analysis and fate of anthropogenic materials such as tire and road abrasion particles, micro and nano plastics, nano materials as well as organic trace contaminants in the (urban) water cycle.