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Unravelling the infection enigma: Jean-Laurent Casanova’s pioneering genetic discoveries earn him the 2025 Novo Nordisk Prize

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COPENHAGEN, Denmark, Feb. 24, 2025 /PRNewswire/ — For decades, scientists believed that infections were determined solely by viruses and bacteria. But Professor Jean-Laurent Casanova’s groundbreaking research has revealed a more complex reality: genes play a fundamental role in determining who gets seriously ill and who stays healthy. Because of his pioneering discoveries, he is being honoured and awarded with the 2025 Novo Nordisk Prize.

Jean-Laurent Casanova’s research, spanning more than three decades, has shown that rare or not-so-rare genetic mutations can make some individuals especially vulnerable to infections that others shrug off. “Why would a child be hospitalised for viral pneumonia, tuberculosis or any other severe infection when most children infected with the very same microbe do well? That is what I call the infection enigma,” he explains.

His pioneering work has uncovered more than 70 genes that, when mutated, impair the body’s ability to fight off specific infections. This research has not only deepened understanding of human immunity but also led to new possibilities for patient care — helping clinicians better predict, diagnose and treat infectious diseases based on individual genetic profiles.

Recognising a landmark scientific contribution

Mads Krogsgaard Thomsen, CEO of the Novo Nordisk Foundation, emphasises the significance of Jean-Laurent Casanova’s contributions: “His work exemplifies the power of integrating clinical observation with genetic research. By uncovering the genetic basis of susceptibility to infections, Professor Casanova has opened new avenues for personalised medicine, offering hope for more effective treatments and preventive strategies.”

Professor Jørgen Frøkiær, Chair of the Novo Nordisk Prize Committee, adds: “Jean-Laurent Casanova’s research has transformed understanding of infectious diseases by revealing the critical role of genetic factors. His discoveries have provided new insight into why some individuals are more vulnerable to infections, paving the way for novel approaches in immunology and public health.”

For Jean-Laurent Casanova, the recognition is a surprise but also validates a career dedicated to reshaping how we understand infections. “When I got the call, I had no idea I had even been nominated,” he says. “But this is by far the most important award I have received in my career, and I am incredibly honoured.”

It is not just about the virus

Jean-Laurent Casanova’s journey began in Paris, where he simultaneously studied medicine and biology, tailoring his own MD and PhD programme long before such dual-degree tracks existed in France. His decision to specialise in paediatrics and immunology shaped the focus of his research.

“As a young paediatrician, I saw children die from infections in intensive care units,” he recalls. “That made me realise that infection was the biggest problem in paediatrics. I wanted to understand why some children got severely ill while others did not.”

At the age of 30 years, he took on the infection enigma as his life’s work, starting his laboratory in Paris before later expanding to New York. Over the years, his team has demonstrated that genetic errors in immunity explain why certain individuals have severe infectious diseases — insight that has proved vital in times of global health crises, including the COVID-19 pandemic.

Jean-Laurent Casanova’s discoveries have changed how we understand and treat infections. One of his biggest breakthroughs came during the COVID-19 pandemic, when his team found that some people had ‘bad’ antibodies — called autoantibodies — that attacked their own immune system instead of the virus. These autoantibodies block type I interferons, which are crucial for fighting infections. His research showed that these faulty antibodies were responsible for about 15% of severe COVID-19 cases and 20% of deaths.

“This was clear proof that a person’s genes and immune system play a big role in how sick they get from infections,” he explains. “It is not just about the virus — it is also about how your body responds to it.”

Convincing the scientific community was not easy

These harmful autoantibodies are not just a COVID-19 problem. Casanova’s team found them in other severe viral infections, such as influenza and West Nile virus, in which they explain nearly 40% of the worst cases. “If you have these autoantibodies, you have to be extra careful about infections and insect bites that spread viruses,” Casanova warns. “Testing older adults for these antibodies could also help to save lives in countries that can afford it.”

Casanova’s team first found that rare genetic mutations prevented some people from producing type I interferons. Later, they discovered that autoantibodies could do the same thing — blocking immune defences and increasing the risk of severe infection. This breakthrough helped to explain why some people get critically ill whereas others recover quickly.

“These individuals can be identified through genetic testing or by screening for autoantibodies in their blood. Once diagnosed, some patients may benefit from treatments, such as interferon therapy to replace the missing immune signal or therapies to remove the harmful autoantibodies, helping to restore their body’s ability to fight infections.”

For a long time, scientists mainly focused on germs — bacteria and viruses — as the reason people got sick. But Casanova’s discoveries challenged this thinking, showing that individual differences in the immune system also matter. Changing this perspective took time, since many researchers were initially sceptical.

“For more than a century, we have been taught to focus almost entirely on microbes,” Casanova says. “But genetics has always played a role — this was proven for plants over 100 years ago and for humans before World War II. We just did not fully appreciate it.”

A future shaped by genetic insight

As the field of infectious disease research continues to evolve, Casanova’s discoveries offer a clear path forward. The ability to identify genetic vulnerability before illness strikes makes the potential for personalised interventions — such as tailored vaccination programmes and lifestyle adjustments — greater than ever.

Casanova’s work is not just focused on understanding infections — it focuses on rewriting the medical playbook for how to prevent and treat them. “By studying rare patients with rare genetic vulnerabilities, we uncovered something that affects millions,” he says. “This is just the beginning.”

With the 2025 Novo Nordisk Prize, his contributions take centre stage, marking a milestone in the pursuit of a more personalised and effective approach to infectious disease medicine.

The 2025 Novo Nordisk Prize will be awarded at a ceremony in Bagsværd, Denmark, on April 25, to Professor Jean-Laurent Casanova from Necker Medical School in Paris, France, and the Rockefeller University in New York, USA. A Prize Lecture by Jean-Laurent Casanova will take place at the Panum Institute, University of Copenhagen, Denmark, in the Niels K. Jerne Auditorium, Building 13 on April 24, the day before the official award ceremony.

About Jean-Laurent Casanova

1987 MD, University of Paris Descartes, France1992 PhD in Immunology, University of Paris Pierre and Marie Curie, France1999 Professor of Paediatrics, Necker Medical School, Paris, France1999 Co-founder, Laboratory of Human Genetics of Infectious Diseases, Institut Imagine, Inserm, AP-HP, Université Paris Cité, Paris, France2008 Professor, The Rockefeller University, New York, USA2014 Investigator, Howard Hughes Medical Institute, The Rockefeller University, New York, USA2015 Foreign Member, United States National Academy of Sciences2015 Foreign Member, United States National Academy of Medicine

About the Novo Nordisk Prize

The Novo Nordisk Prize recognises active scientists who have provided outstanding international contributions to advance medical science to benefit people’s lives. The prize is awarded annually by the Novo Nordisk Foundation and is intended to further support biomedical research in Europe.

The prize is accompanied by DKK 5 million (€672,000) and comprises a DKK 4.5 million (€605,000) research grant and a personal award of DKK 0.5 million (€67,000). The Foundation will award an additional DKK 0.5 million for hosting an international symposium within the recipient’s field(s) of research.

Photo: https://mma.prnewswire.com/media/2625977/Jean_Laurent_Casanova.jpg

 

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SOURCE Novo Nordisk Foundation

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Air Products to Expand Industrial Gas Supply for Samsung Electronics’ Next-Generation Semiconductor Fab in South Korea

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New investment underscores the company’s long-term commitment to Korea and its leading role in the global semiconductor industry 

LEHIGH VALLEY, Pa., April 29, 2026 /PRNewswire/ — Air Products (NYSE:APD), a world-leading industrial gases company and serving Samsung globally, today announced it has been selected by Samsung to supply industrial gases for its new advanced semiconductor fab in Pyeongtaek, Gyeonggi Province, South Korea.

Under the agreement, Air Products will build, own and operate multiple state-of-the-art production facilities and a bulk specialty gas supply system to supply nitrogen, oxygen, argon, and hydrogen for Samsung’s new semiconductor fab. The new facilities are expected to come onstream in multiple phases from 2028 through 2030.

Air Products has a long track record of executing multiple phase expansions in Pyeongtaek to support Samsung’s growing manufacturing needs. This latest project represents Air Products’ largest investment to date in the semiconductor industry and will establish Pyeongtaek as the company’s single largest operations site globally supporting the electronics industry. 

“Air Products is honored to be selected once again by Samsung and to have their continued confidence as a trusted partner supporting their strategic growth plans,” said SR Kim, President, Air Products Korea. “This significant investment reinforces Air Products’ role as a leading global supplier to the semiconductor industry and underscores our long-standing commitment to supporting our strategic customers with safety, reliability, efficiency and excellent service.”

Air Products has served the global electronics industry for more than 40 years, supplying industrial gases safely and reliably to many of the world’s leading technology companies. The company has operated in Korea for more than 50 years and has established a strong position in electronics and manufacturing sectors.

About Air Products

Air Products (NYSE: APD) is a world-leading industrial gases company in operation for over 85 years focused on serving energy, environmental, and emerging markets and generating a cleaner future. The Company supplies essential industrial gases, related equipment and applications expertise to customers in dozens of industries, including refining, chemicals, metals, electronics, manufacturing, medical and food. As the leading global supplier of hydrogen, Air Products also develops, engineers, builds, owns and operates some of the world’s largest clean hydrogen projects, supporting the transition to low- and zero-carbon energy in the industrial and heavy-duty transportation sectors. Through its sale of equipment businesses, the Company also provides turbomachinery, membrane systems and cryogenic containers globally.

Air Products had fiscal 2025 sales of $12 billion from operations in approximately 50 countries. For more information, visit airproducts.com or follow us on LinkedInXFacebook or Instagram.

This release contains “forward-looking statements” within the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on management’s expectations and assumptions as of the date of this release and are not guarantees of future performance. While forward-looking statements are made in good faith and based on assumptions, expectations and projections that management believes are reasonable based on currently available information, actual performance and financial results may differ materially from projections and estimates expressed in the forward-looking statements because of many factors, including the risk factors described in our Annual Report on Form 10-K for the fiscal year ended September 30, 2025 and other factors disclosed in our filings with the Securities and Exchange Commission. Except as required by law, we disclaim any obligation or undertaking to update or revise any forward-looking statements contained herein to reflect any change in the assumptions, beliefs or expectations or any change in events, conditions or circumstances upon which any such forward-looking statements are based.

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SOURCE Air Products

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