Cytiva Completes Doubling of Utah Site’s Liquid Media Production Capacity

Cytiva has completed an expansion of its Logan, UT, facility that effectively doubles its liquid media production capacity, a project designed to support supply chain continuity for customers relying on the company for their cell culture needs.

The company has completed its animal-derived component-free (ADCF) liquid media expansion facility (A1X), Pierre-Alain Ruffieux, Cytiva group executive, bioprocess, told GEN in an interview conducted from the company’s booth during the Biotechnology Innovation Organization (BIO) International Convention recently held in San Diego. He said the completion was celebrated with a ceremony on the site.

Cytiva detailed the expansion project in a May 12 post on its website: The ADCF liquid media expansion facility (A1X) has larger mixing tanks than the existing facility, supporting batch sizes from 700 L up to 13,000 L—compared with batch sizes of 100 L to 10,000 L supported by Cytiva’s existing facility.

Also, the A1X facility uses mixing tanks and liquid media transfer lines comprised of AL6XN and 316 L stainless steel. This differs from the existing facility equipment, which is comprised solely of 316 L stainless steel. AL6XN is a low-carbon, high-purity stainless-steel alloy that is more resistant to wear and corrosion than 316 L, representing an upgrade to the product contact layer versus the existing facility equipment.

The expanded site’s added liquid capacity comes from the addition of three manifold fill lines, three filling manifolds, six mixing tanks, six formulation booths, and a utility building to support large volume liquid media production. Housed in the utility building are a 45,000 L tank and process water system, a 55,000 L tank and water for injection system, a clean steam generator, and additional supporting utilities.

“In addition to the added capacity, Cytiva has updated several aspects of the manufacturing floor layout and equipment, improvements designed to shorten production cycle time, improve safety, and minimize product risk,” the company explained. “The updates also establish closed systems for cleaning and a controlled environment for the transport and handling of raw materials and finished goods.”

Previously, Cytiva completed expanding its dry powder and liquid media manufacturing capacity for large-volume customers and added high-speed bottle filling for smaller-volume users. The company also opened an expanded staging area for finished goods, as well as a new centralized 10,000-square-foot quality control lab to support increased manufacturing.

AI’s “two major impacts”

Pierre-Alain Ruffieux, Cytiva group executive, bioprocess

During a wide-ranging interview, Ruffieux discussed Cytiva’s approach to AI and several recent Cytiva announcements.

“We see two major impacts from AI on what we are doing,” Ruffieux explained. “The first one, and I always like to start with the customers because it’s really our focus: We see our customers accelerating and increasing the number of targets they are doing. AI is helping them to have more targets and in a faster time,” Ruffieux said. “It’s putting pressure on the CMC folks, and I think it’s where we play: They ask us to provide innovative solutions to go faster.”

Cytiva’s focus on AI is two-fold, he continued.

“One, we are developing intelligent equipment which is using AI to be easier for customers to use and which are more functional; that is one aspect. It’s also delivering more experience in a shorter time frame,” Ruffieux said. “It’s a kind of next level of DoE [design of experiments], but it’s also delivering a productivity aspect because the goal is to have equipment which requires either fewer people or fewer people with less specific knowledge of the equipment.”

Like a growing number of companies in and outside biopharma, Ruffieux said, Cytiva has fully embraced AI “to make our product better, to make the customer experience better, but also to improve our internal processes.”

“Faster and better”

“We see AI helping us to develop software, writing new software to go faster and better. AI is very powerful for reviewing documents and doing things,” he explained. “It’s amazing what we can do both in writing code, but also perhaps as importantly, as we validate the code and we test everything, the use of AI is allowing our people to work in a much more comprehensive way, in a much faster way.”

AI also adds a layer, he said, to the continuous improvement ethos that Cytiva and other Danaher-owned companies practice through the Danaher Business System (DBS). Since the mid-1980s, Danaher has carried out an ongoing company-wide Kaizen or continuous improvement effort based on lean manufacturing and anchored on DBS, a common culture and operating system focused on people, plans, processes, and performance.

“AI is an additional pillar to this system, really helping the company to be more efficient and to drive business,” Ruffieux said.

Cytiva’s customers, he continued, have not specifically asked about AI. So what are customers telling the company that they want?

“What customers want is Cytiva delivering solutions which help them to innovate, produce drugs, and accelerate these processes. And AI is one of the attributes, but they don’t have a specific task on AI,” Ruffieux replied. “In discussing with senior customers, people are interested in the outcome, not in the product itself. So it’s not AI for AI, it’s AI for a business outcome. And in life science, the business outcome is quality. It’s reliability. It’s speed. It’s customers asking, can we help them to be better?”

AMT designation

Last month, Cytiva hailed the FDA’s granting its Advanced Manufacturing Technology (AMT) designation to the company for its Elevecta™ transient cell line for adeno-associated virus (AAV) manufacturing, one of the first gene therapy manufacturing technologies to receive the designation. Customers using the Elevecta transient cell line will benefit, according to Cytiva, from a clear, predictable regulatory and quality framework for gene therapy development.

Through its AMT designation, the FDA recognizes drug manufacturing technologies that it deems to have elevated the reliability, quality, and robustness of advanced therapeutics manufacturing. By enabling a streamlined Chemistry, Manufacturing, and Controls (CMC) review and frequent communication with the FDA, designees count on the AMT designation to help accelerate their manufacturing-related development timelines and create a meaningful advantage through faster time to market.

“This recognition by the FDA is giving confidence and trust for our customers: If they use this cell line to produce AAV, they know that the agency has seen the technical advantage and it’s confidence on the regulatory pathway,” Ruffieux said. “This recognition by that regulatory body is giving trust to the work of the company in helping customers develop drugs, which is really where we position ourselves as true partners.”

Elevecta is designed to significantly reduce the formation and encapsidation of host cell DNA (hcDNA).

“What is beautiful with that is, we get a reduction of 99% of the host cell DNA. You don’t have to worry any more about the host cell DNA which is coming with your product. Again, that is a huge advantage for the customer using that,” Ruffieux said. “This is the kind of innovation we are really proud to bring to our customers.”

Operating from hubs in Marlborough, MA, Amersham, U.K., Uppsala, Sweden, and Shanghai, Cytiva is a unit of Danaher that was re-launched in 2020 after Danaher spent $21.4 billion for the former biopharma business of GE Healthcare Life Sciences. Danaher oversees a global family of more than 20 operating companies focused on biotech and life sciences, as well as diagnostics, water quality, and product identification.

Bringing “the entire workflow”

Earlier this month, the company said that eight of its 2,000 L single-use Xcellerex bioreactors were among equipment contained in the new GMP-2 manufacturing facility inaugurated in Wuhan, China, by Chime Biologics, a decade-long customer that has used equipment made by Cytiva and its predecessor company.

“I want to put that in a larger context: At Cytiva, we really bring to the customers the entire workflow, which is really exciting for small to mid-sized customers. Coming to us, they really get a full facility that is working, really, from A−Z,” Ruffieux said. “It’s starting from an expansion of the cell line, to freezing the drug substance. It’s about a fully integrated solution that helps the customer to have that. And we have multiple facilities like that, that we are building every year for customers across the world.”

“We make significant investments to be able to supply our customers with what they need into different regions, in-region-for-region,” Ruffieux said.

In-region-for-region refers to Cytiva’s ongoing effort to satisfy customer demand for manufacturing tools and services usable within their regions of the world.

“This is really helping us and the customer to secure supply independent of any disruption,” he added. “Since COVID-19, we have seen multiple disruptions worldwide. And really, our original presence is giving confidence to customers that they will get what they need, independent of whatever crisis is happening across the world.”

Worldwide, the United States and European Union have championed “reshoring” efforts by drug developers and tools/technology providers across biopharma to manufacture more of their products within their regions rather than in China or elsewhere in Asia.

“When there is investment, it’s definitely always a tailwind,” Ruffieux said. “We welcome investment, and we are happy to support all customers to put up new facilities, and for the opportunity these facilities offer to position our equipment.”

The post Cytiva Completes Doubling of Utah Site’s Liquid Media Production Capacity appeared first on GEN – Genetic Engineering and Biotechnology News.

Claude Science is Here, Antibiotics Designed by Text Prompt Among Applications

Anthropic has released Claude Science, an AI workbench for scientists that consolidates fragmented research tools, including over 60 scientific databases and connectors pre-configured for genomics, proteomics, structural biology, and more, into a single reasoning layer. The platform joins an increasingly crowded ecosystem of tech platforms specialized for biology and aims to accelerate scientific discovery by making domain expertise more accessible.

Anthropic’s life science partners are delivering applications. Basecamp Research is targeting global public health, where drug-resistant infections play a role in nearly five million deaths per year. The London-based team has announced that its antibiotic design and vaccine target prediction EDEN models will now be available through Claude Science.

A metagenomic foundation model, EDEN demonstrated a 97% success rate when designing functional peptides with high potency against World Health Organization (WHO) critical-priority and multidrug-resistant pathogens. The work was done in collaboration with César de la Fuente, PhD, presidential associate professor at the University of Pennsylvania.

In a Claude Science demo, Oliver Vince, PhD, co-founder at Basecamp, uploaded a sample patient microbiology report. When given a simple natural language prompt, the platform designed peptides, predicted their efficacy, and provided a shortlist of candidates most likely to succeed in experiments in minutes.

While generating human-ready antibiotics at the click of a button is still a step away, Vince said democratizing these tools is a powerful first step, particularly for researchers in regions where accelerated computing infrastructure is not readily accessible.

“Most models require you to be a computational scientist,” Vince told GEN Edge. “Now, potentially any clinician in the world can chat with Claude and design an antibiotic that may work.”

“From a strategic perspective, you want the people with the most agency to solve the problem,” added Phil Lorenz, PhD, CTO at Basecamp. “Not the model builders who are two or three steps removed.”

Full stack

Founded in 2019, Basecamp has spent its initial years building a full computational stack spanning data, models, and therapeutic assets.

In addition to antibiotics and vaccines, the company’s U.S. office, based in Cambridge and led by Jonathan Finn, PhD, Basecamp CSO and former CSO of Tome Biosciences, has fine-tuned EDEN for programmable gene insertion. The approach places large therapeutic DNA sequences at precise locations in the human genome, expanding upon CRISPR-based approaches that use small edits to address a limited number of indications.

EDEN’s generalizability is enabled by training on BaseData, the company’s proprietary dataset composed of 9.8 billion protein sequences collected over 200 diverse and extreme locations, including thermal springs, polar ice, and high-altitude plateaus, across more than 30 countries. The database provides a 10-fold expansion of known protein diversity when compared to all public databases combined.

In March, the team published the compounding advantages of BaseData on model performance in a technical report on scaling laws for metagenomics. Basecamp is steadily pushing forward that data diversity through the Trillion Gene Atlas, a partnership with Anthropic, NVIDIA, PacBio, and Ultima Genomics that aims to scale BaseData 100-fold over the next two years.

Vince emphasizes that model deployment and integration into real-world workflows will be critical for these models to reach their full potential. Basecamp anticipates releasing more applications over the next year.

“I think it will surprise people what these models can do,” he said.

The post Claude Science is Here, Antibiotics Designed by Text Prompt Among Applications appeared first on GEN – Genetic Engineering and Biotechnology News.

Roundtables: Longevity’s Next Frontier: “Reprogramming” Your Body

Listen to the session or watch below

Billions of dollars are flooding into efforts to reverse aging as scientists explore ways to return cells to a younger state. But how far off are these experimental treatments? Will they really work? Watch a conversation exploring longevity’s new focus.

Speakers: Mary Beth Griggs, science editor and Jessica Hamzelou, senior biotechnology reporter

Recorded on June 30, 2026

Related Stories:

iPSC-Derived Retinal Endothelial Cells Offer Platform for Studying Diseases

Biomedical engineers at Duke University have for the first time used induced pluripotent stem cells (iPSCs) to grow specialized blood vessel cells critical to retinal health.

When injected into mouse models of retinal disease, these “retinal endothelial cells” (iRECs) integrated into the damaged tissue to regenerate blood vessels and restore retinal function. The team also demonstrated these cells’ ability to form functional retinal vascular tissue in a lab-grown environment, providing a pathway to model and research various eye diseases.

The results point toward the potential of using these retinal cells and models to develop new methods of impactful vision loss treatments and eye disorder research. “Retinal vascular diseases affect millions of people in the U.S., but our understanding remains limited, hindering our ability to discover and develop new therapeutics,” said Sharon Gerecht, PhD, the Paul M. Gross Distinguished professor and chair of Biomedical Engineering at Duke. “Using human stem cells, we generated the cells found in retinal blood vessels, paving the way for new therapeutic approaches.”

Gerecht is senior and corresponding author of the researchers’ published paper in Nature Biomedical Engineering, titled “Derivation of functional retinal endothelial cells from human pluripotent stem cells for therapeutics and modeling.” In their report the authors suggested that their iREC differentiation strategy will “… advance cell therapy and disease modeling, accelerating the discovery of treatments for retinal microvascular diseases.”

The old saying that the eyes are windows into the soul is more accurate than one might think. Neurons from the retina—the back part of the eye that detects light—extend directly to the brain, technically making the eyes part of the central nervous system.

Also like the brain, the retina has a blood barrier that strictly controls what gets in and out including oxygen, nutrients, water and pharmaceuticals. While this barrier keeps the retina healthy and relatively protected from disease-causing agents, it also makes treating the retina difficult. “Retinal tissue has the highest energy and oxygen usage in the body due to the retina’s intense and continuous neuronal activity,” the authors further explained. “This demand leads to a crucial reliance on the inner blood–retina barrier (iBRB) to maintain ocular homeostasis.”

The barrier is formed by blood vessel tissue comprising a tight network of retinal endothelial cells, which form the inner layer of blood vessels, in concert with other specialized cells called pericytes and astrocytes. “Retinal endothelial cells (RECs) in the iBRB are continuous endothelial cells (ECs) that form tight junctions to regulate the diffusion of small molecules, such as ions and water, across their cell–cell interface,” the investigators continued. The specificity of these cells and the fact that they do not form in other areas of the body make the complex tissue difficult to heal or to grow from scratch.

This image depicts both healthy (right) and deteriorated (left) human retinal endothelial cells, which are essential for maintaining eye sight. The deterioration is caused by low oxygen and high glucose levels, mimicking conditions found in diabetic retinopathy, the leading cause of vision loss in working-age people in the United States. [Duke University]
This image depicts both healthy (right) and deteriorated (left) human retinal endothelial cells, which are essential for maintaining eye sight. The deterioration is caused by low oxygen and high glucose levels, mimicking conditions found in diabetic retinopathy, the leading cause of vision loss in working-age people in the United States. [Duke University]

“When this specialized blood vessel tissue begins to break down, it can cause a lot of different diseases that lead to vision loss,” said Parker Esswein, a PhD student working in the Gerecht laboratory and co-first author of the paper. “While there are sources of retinal endothelial cells, being able to grow a continuous supply from scratch could offer many advantages for those working in the field.”

These retinal endothelial cells are currently collected and grown from real patients, making them relatively expensive with a limited supply. “A renewable source of human iBRB endothelium is thus vital for advancing eye research and treatment development,” the team noted in their paper.

To expand access, reduce cost and control variability, the Gerecht lab wanted to see if they could grow them from iPSCs. These are essentially mature adult cells reprogrammed to become primal versions of themselves that can then grow into a wide variety of other cell types.

To do this, Esswein and Ying-Yu Lin, PhD, a former PhD student in Gerecht’s lab, took commercial iPSCs and used a well-established procedure to get them to grow into common endothelial cells that form the inner layer of most of the body’s blood vessels. The researchers then used a specialized cocktail of growth factors to coax the cells into becoming the specific type of endothelial cells found in the retina. “… we differentiated human induced pluripotent stem cells into retinal endothelial cells (iRECs) via the Wnt–β-catenin pathway, namely Norrin–Frizzled4 signaling,” they explained.

Once successful, the researchers put their development to the test. In benchtop experiments, the team was able to get the iRECs to form the same networks and structures that they do within the body. The team then subjected these lab-grown tissues to low oxygen and high glucose levels, which are detrimental conditions often seen within real people. These conditions are fundamental causes of diabetic retinopathy (DR), the leading cause of vision loss in working-age people in the United States, and caused the tissue barrier to break down just like it does in patients. They wrote in summary, “Overall, we were able to robustly recapitulate the DR phenotype in 2D and 3D with our iRECs, exemplifying their ability to be utilized for in vitro disease modeling and to elucidate aberrant pathways and therapeutic targets.”

The researchers then tried their lab-grown cells as a therapy for mouse models with weak, unstructured retinal blood vessels. When injected into the mice before any actual vision loss occurred, these cells successfully integrated into the existing tissue and helped develop strong blood vessels with strong barriers. “When injected into oxygen-induced retinopathy mice, iRECs integrated into the host vascular network and revascularized the ischemic eye, rescuing the tissue,” they stated.

“The tests showed that these lab-grown cells have promise for preventative treatments, especially since they should be easier and cheaper to obtain using our technique,” Esswein said. “And while our benchtop experiments did not attempt to model a wide variety of specific eye diseases in these studies, we’re confident we can create excellent human tissue models in the lab to help better understand these diseases and uncover therapies.”

Moving forward, the researchers are planning to explore these potential uses for their retinal endothelial cells both in their laboratory and through emerging industry partnerships. The group also has a patent pending that covers both the stem cell-based therapeutics and in vitro modeling for drug discovery and testing. In their paper they concluded “Our study establishes functional human iRECs and microphysiological iBRB models that facilitate mechanistic studies aimed at identifying therapeutic targets and promoting the revascularization of injured retinas, thereby supporting treatment advancement.”

The post iPSC-Derived Retinal Endothelial Cells Offer Platform for Studying Diseases appeared first on GEN – Genetic Engineering and Biotechnology News.

New Agentic Capabilities for Tasks Across the Complete Research Workflow

Officials at Elsevier say the company is expanding LeapSpace, a research-grade AI workspace, with new agentic capabilities that help “researchers carry out an even greater range of tasks within their complex workflow to drive better outcomes with confidence.”

Designed specifically for the end-to-end research workflow, LeapSpace was created to accelerate discovery, help researchers calibrate the strength of the evidence, and support critical thinking. LeapSpace draws on 20+ million full-text peer-reviewed articles and books from Elsevier and over 1,000 new content licensing partners, including Sage Publishing, Emerald Publishing, IOP Publishing, and NEJM Group. as well as 100+ million scientific records from 7,000+ publishers on Scopus.

Results are grounded in peer-reviewed literature, citations are traceable to sources, Trust Cards help researchers calibrate the strength of evidence, and the researcher remains in control, with every recommended change requiring approval, notes an Elsevier spokesperson.

General-purpose AI tools can generate text, summarize articles and automate some tasks. But researchers require something more demanding: the latest trusted peer-reviewed content, verifiable citations, transparent reasoning, research integrity safeguards, and enterprise-grade security and privacy, according to Stuart Whayman, president, corporate markets, Elsevier, adding that this is what LeapSpace is built for.

Built with research-grade AI, LeapSpace is already delivering results for thousands of researchers around the world: 97% report time savings, with more than half saving over 50% of their research time, points out Whayman, LeapSpace is now extending support to writing—the task researchers most want AI to help with: more than half find writing clearly and concisely to convey complex ideas a challenge, rising to 60% among students and early-career researchers.

 

The post New Agentic Capabilities for Tasks Across the Complete Research Workflow appeared first on GEN – Genetic Engineering and Biotechnology News.

The Download: AI “coworkers” and stratospheric internet

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

AI agents are not your “coworkers”

Imagine coming in to work to learn that a new underling will report to you. The worker is not a person but an AI tool—one that your company nonetheless calls Alex, an “employee” with a title and defined responsibilities. How well do you think you would work with Alex?

If you’re anything like the managers studied by Boston University professor Emma Wiles, treating that AI as a “coworker” would lead you to do a worse job. They caught 18% fewer errors when the work was attributed to an agentic “AI employee” rather than a chatbot.

This is an alarming glimpse of the future Silicon Valley is hurling us toward. Microsoft, OpenAI, Anthropic, and Google have all released tools for managing teams of AI agents, many of which are advertised as digital colleagues. Find out why that’s a losing proposition for workers.

—James O’Donnell

This story is from The Algorithm, our weekly AI newsletter. Sign up to receive it in your inbox every Monday.

This flying solar-powered platform could deliver better internet from the air

As soon as August, a giant silver bullet will cut its way through the dry air of the southwestern US and cross the Pacific to reach the coast of Japan.

Once there, the roughly 200-foot-long craft, built by the New Mexico–based company Sceye, will park some 18 kilometers above the ocean’s surface in the stratosphere, then use a custom-built antenna to supplement a 5G network, in a test that includes beaming data straight to devices.

Sceye (pronounced “sky”) is one of several firms building these high-altitude platform stations, or HAPS. Find out why they plan to connect us from the stratosphere.

—Rachel Courtland

This story is from the latest edition of our magazine, which is all about engineering. Subscribe now to get a copy, plus all our other issues and a range of subscriber-only content.

Longevity’s next frontier: “reprogramming” your body

Billions of dollars are flooding into efforts to reverse aging as scientists explore ways to return cells to a younger state. But how far off are these experimental treatments? Will they really work? At a virtual Roundtables event today, MIT Technology Review will examine the science behind the hype.

Science editor Mary Beth Griggs and senior biotechnology reporter Jessica Hamzelou will explore longevity’s latest frontier in a subscriber-only discussion.

Register here to join the session at 11:30 AM ET / 8:30 AM PT / 16:30 GMT.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 The US House has passed new youth online safety legislation
+ It would set baseline federal standards for kids’ online safety. (Politico $)
+ States would be allowed to adopt more aggressive protections. (Reuters $)
+ But critics say it lets tech companies avoid accountability. (Axios)
+ And tech groups warn it threatens privacy and free expression. (NBC)
+ The Senate is expected to push for tougher rules. (The Hill)

2 Ford is rehiring human engineers after AI failed to match quality checks
It said the AI lacked the training and expertise of technicians. (Bloomberg $) 
+ The new hires will train younger staff and reprogram AI tools. (BBC)
+ Many firms that replaced workers with AI are now rehiring humans. (Forbes)
+ The AI jobs hysteria needs a reality check. (MIT Technology Review)
 
3 Senator Mark Warren is set to introduce a bill to regulate AI agents
It would set rules for agent permissions and verification. (The Information $)
+ Voters of both parties want tighter AI regulation. (NBC News)
+ But politicians are bitterly divided on the rules. (MIT Technology Review)
 
4 Rocket Lab is buying Iridium for $8 billion to take on SpaceX
It wants to integrate the satellite network with its launch services. (The Verge)
+ Which could create a fleet that can compete with SpaceX. (WSJ $)
 
5 Hackers have exposed secrets about Apple’s upcoming iPhone 18
The data was stolen from Tata Electronics, Apple’s Indian supplier. (Reuters $)
+ The breach also exposed Tesla secrets. (TechCrunch)

6 Chatbots are replacing therapists despite lacking scientific evidence
Experts question their safety and therapeutic quality. (WSJ $)
+ Chatbots may make us lose control of our brains. (MIT Technology Review)
 
7 Newborn DNA sequencing is edging closer to routine healthcare
Trials are expanding despite privacy and ethical concerns. (Economist $)
+ The push for perfect babies is an ethical mess. (MIT Technology Review)

8 Astronomers are using AI to find new galaxies
New tools are reviving decades of space telescope data. (FT $)

9 Remote-controlled cockroach swarms can now breathe underwater
The cyborg insects could one day explore Mars. (New Scientist $)

10 Drone shows are creating new forms of worship 
Churches are depicting biblical stories with thousands of UAVs. (Wired $))

Quote of the day

“This is taking us back to the 1950s, and that is not progress.” 

—Edwin Lyman, director of nuclear power safety at the Union of Concerned Scientists, tells NPR that slashing regulations undoes decades of safety lessons from the industry.

One More Thing


Design thinking was supposed to fix the world. Where did it go wrong?

When Kyle Cornforth walked into IDEO’s San Francisco offices for a meeting about reimagining school lunches, she was impressed. “It was Post-its everywhere, prototypes everywhere,” she recalls. “What I really liked was that they offered a framework for collaboration and creation.”

Cornforth was new to IDEO’s way of working: a six-step methodology for innovation called design thinking. But when she looked at the ideas themselves, she had questions: “I was like, ‘You didn’t talk to anyone who works in a school, did you?’ They were not contextualized in the problem at all.”

Design thinking broadened the idea of “design,” elevating designers to take on big, knotty problems through a structured process. But critics argue it has produced unrealistic ideas and, by centering designers, reinforced existing inequities.

Read the full story on the rise and fall of design thinking.

—Rebecca Ackermann

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ A London tube station has solved its persistent flooding issue by reintroducing beavers.
+ The Beastie Boys song “Sabotage” has been stunningly recreated in this stop-motion video.
+ Classical antiquity is lovingly preserved in this collection of over 8,000 late Latin and Greek letters from the Roman world.
+ This homemade jet-powered fishing boat is a reminder that great engineering and good judgment don’t always travel together.

Top image credit: Photo Illustration by Sarah Rogers/MITTR | Photos Getty

Please send homemade jet-powered fishing boats to hi@technologyreview.com

You can follow me on LinkedIn. Thanks for reading!

—Thomas

Editor’s pick: Liberate Bio

Nature Biotechnology, Published online: 30 June 2026; doi:10.1038/s41587-026-03201-5

Each year, Nature Biotechnology highlights companies that received sizeable early-stage funding in the previous year. Liberate Bio is developing a lipid nanoparticle toolbox to deliver genetic medicine to previously inaccessible cells inside the body.

Editor’s pick: Trogenix

Nature Biotechnology, Published online: 30 June 2026; doi:10.1038/s41587-026-03200-6

Each year, Nature Biotechnology highlights companies that received sizeable early-stage funding in the previous year. Trogenix has developed a platform for generating ‘synthetic super-enhancers’ that could drive highly cell-specific gene therapy-based treatment of solid tumors such as glioblastoma.