A conventionally sourced sea bass from a fishery.
Ever wonder why you've never heard of wild-caught organic fish? It's because there's no way to certify a food that has a mysterious history. Mike Selden, a 26-year-old biochemist with an animal lover's heart and an entrepreneur's mind, decided there must be better way to consume one of our planet's primary sources of animal protein. A way that would eliminate the need to kill billions of fish per year while also producing toxin-free, cheap, delicious fish meat for your dinner table. Enter Finless Foods, a young startup with a bold vision. Selden took time out of chauffeuring fish carcasses around San Francisco (no joke!) to share his journey with LeapsMag.
What is the biggest problem with the way fish is consumed today?
There are a lot of problems ranging from metals to animal welfare to human health. Technology is solving those problems at the same time. You've got extreme over fishing, which is collapsing ocean ecosystems and removing populations of fish that are traditionally used as food sources in developing nations.
In terms of animal welfare, fish are killed in massive numbers, billions a year. Even if people don't care too much about that, we want to give them another option.
In terms of health, which I think for most people is the most convincing argument, current fish have mercury and plastic in them. And if you're getting that fish from a farm, you will also have high levels of antibiotics and growth hormones if you're getting it from outside the U.S. What we're doing is producing fish that doesn't have any of those contaminants.
What gave you the idea to start a company around lab-grown fish?
I studied biochemistry and molecular biology at UMass Amherst, traditionally an agricultural school out in the woods of Massachusetts. I have always been an environmental activist and cared about animals. I thought, animal agriculture is so incredibly inefficient, what could be done to change it?
"The worst way you can possibly make a hamburger is with a cow."
Agriculture is a system of inputs and outputs, the inputs being feed and the outputs being meat – so why are we wasting all of this input on outputs we don't care about? Why are we creating these animals that waste all this energy through sitting around, moving around, having a heartbeat, blinking? All of this uses energy and that's valuable input.
The worst way you can possibly make a hamburger is with a cow. It's an awful transfer of energy: you have to feed it many times its own weight in food that could have fed other people or other things.
In February, I got funding from Indie Bio, a startup accelerator for synthetic biology, and moved out to San Francisco with my co-founder Brian Wyrwas. We started working in our lab in March. We're the newest company in the space.
Walk me through the process of creating edible fish in the lab. Do you have to catch a real live fish first and get their cells?
We have a deal with the Aquarium of the Bay, and whenever a fish dies, they call me, I get in a zip car, drive over, and bring the fish back to the lab, where Brian cultures it up into a cell culture. We do use real, high-quality fish stock. From there, we get the cells going in a bioreactor in a suspension culture, grow them into large quantities, and then bring them out to differentiate them into the cells people want to eat—the muscle and fat tissue. Then we formulate it and bring it to people's tables.
How long does the whole process take from the phone call about the fish dying to the food on the table?
There are two different processes: One is a research process, getting the initial cells and engineering them to be what we're looking for.
The other is a production process – we have a cell line ready and need to grow it out. That timing depends on how big of a facility we have. Since we're working with cell division: If you have 1 cell, in 24 hours, you'll have two cells. Let's say you have 1 ton of cells, in 24 hours you'll have two tons of cells.
"We want to give people the wholesome food they are used to in a healthier setting."
How are you looking to scale this process?
We're trying to find a middle ground between efficiency and local distribution. Organic farming is hilariously bad for the environment and horrifyingly inefficient, but on the other hand, industrial agriculture requires lots of transport, which is also bad for the environment. We're looking to create regionally distributed facilities which don't require a lot of transit, so people can have fresh fish even extremely far inland.
What kinds of fish are you "cooking"?
Our first product will be Bluefin tuna. It's a high-quality fish with high demand and it's also a conservation issue. We also currently have a culture going with Branzino, European sea bass, that we're really happy with.
There's a concept in science called a model organism – one that is extremely well studied and understood. Like the fruit fly, for example. For fish, it's the zebra fish, which is used for genetic research, but no one eats it. It's tiny, so we started by thinking: what fish do people eat that is also close evolutionarily to the zebra fish? We came up with carp, even though it's not too widely eaten.
But our process is very species agnostic. We've done work in trout, salmon, goldfish. Any fish with a dorsal fin works with our process. We tried a wolf eel but it didn't work. Eels are pretty far evolutionarily from fish, so we dropped that one.
From left to right, Ron Shigeta (IndieBio), Brian Wyrwas (Finless Foods), Amy Fleming (The Guardian), and Jihyun Kim (Finless Foods) tasting the first ever clean carp croquettes.
(Courtesy Mike Selden)
Why fish as opposed to, say, a cow?
Scientifically, there are a lot of advantages. Fish have a simpler structure than land animals. A fillet from a cow has complex marbling going on between the fat and muscle. When it's fish, like sashimi, it's in layers of muscle and fat. So it's simpler to build, plus fish are cold-blooded, so because they breathe underwater, our equipment needs less complexity. We don't need a CO2 line and we don't need to culture our cells at 37 degrees Celsius. We culture them at room temperature.
It's also easier to get to market since there's much higher value. Chicken in the last year was $3.84 per pound in America, whereas Bluefin tuna is between $100 and $1200 a pound. Because this is about dropping cost, we can get to market faster and give investors a better value proposition.
What's also cool is that something like Bluefin tuna is something many people haven't had the opportunity to eat. We can get these down in cost until there is price parity with any cheap conventional fish. We want to give people a choice between buying something like albacore tuna in a can –with mercury and plastic– or high-quality tuna without any contaminants for the same price.
Do you shape them like fish fillets to help the consumer overcome whatever discomfort they might feel about eating a bunch of lab-grown cells?
Yeah, people want to continue eating food they are eating, and that's fine. We want to give people a better option. We don't want to give them something weird and out there. We want to give them the wholesome food they are used to in a healthier setting that also solves some environmental issues.
How about the taste? Have you done any blind side-by-side tests with the real thing and your version?
Not blind taste tests. But we have been tasting it, and it is firmly fish. I even tried leaving it outside of the fridge – and man, that tasted like spoiled fish.
We want it to have the exact same properties as real fish. We don't want people to have to learn how to cook with it. We want them to just bring it into their homes and eat it exactly like they were doing before, but better.
What you're growing isn't the whole fish, right? It is not an actual organism?
Right, we're only growing muscle cells. It doesn't know where it is. There is no brain, nervous system, or pain receptors.
Are you the only people in this lab-grown food space working on fish?
We're the only ones doing fish so far. Other companies are doing chicken, duck, egg white, milk, gelatin, leather, and beef.
Are people generally weirded out by sci-fi lab food, or intrigued?
It's been very positive. When people sit down and talk to us, they realize it's not some crazed money grab or some weird Ted talk, it's real activists using real science trying to solve real problems. Sure, there will be some pushback from people who don't understand it, and that's fine.
When can I expect to see Finless Food at my local Whole Foods?
We plan on being in restaurants in two years, and grocery stores in four years.
What about people who aren't big fans of fish in the first place? Like those who don't eat sushi, because consuming something raw with an unknown history isn't very appetizing.
There are too many examples of food poisoning because fish are in a less clean environment than they should be, swimming around in their own fecal matter, and being doused in antibiotics so their diseases don't transmit. It's a bit of a mess. That's why as an industry, we're calling this clean meat. Fish is a healthy thing, or at least it should be, with Omega 3 and 6, and DHA. This is a way for people to continue getting those nutrients without any of the questions of where it came from. For people who are skeptical of fish, we invite you to dive in.
Brian Wyrwas, Co-Founder & CSO, and Mike Selden, Co-Founder & CEO
(Courtesy Mike Selden)
A recent study in The Lancet Oncology showed that AI found 20 percent more cancers on mammogram screens than radiologists alone.
Published in The Lancet Oncology, the study analyzed the scans of 80,000 Swedish women with a moderate hereditary risk of breast cancer who had undergone a mammogram between April 2021 and July 2022. Half of these scans were read by AI and then a radiologist to double-check the findings. The second group of scans was read by two researchers without the help of AI. (Currently, the standard of care across Europe is to have two radiologists analyze a scan before diagnosing a patient with breast cancer.)
The study showed that the AI group detected cancer in 6 out of every 1,000 scans, while the radiologists detected cancer in 5 per 1,000 scans. In other words, AI found 20 percent more cancers than the highly-trained radiologists.
Scientists have been using MRI images (like the ones pictured here) to train artificial intelligence to detect cancers earlier and with more accuracy. Here, MIT's AI system, MIRAI, looks for patterns in a patient's mammograms to detect breast cancer earlier than ever before. news.mit.edu
But even though the AI was better able to pinpoint cancer on an image, it doesn’t mean radiologists will soon be out of a job. Dr. Laura Heacock, a breast radiologist at NYU, said in an interview with CNN that radiologists do much more than simply screening mammograms, and that even well-trained technology can make errors. “These tools work best when paired with highly-trained radiologists who make the final call on your mammogram. Think of it as a tool like a stethoscope for a cardiologist.”
AI is still an emerging technology, but more and more doctors are using them to detect different cancers. For example, researchers at MIT have developed a program called MIRAI, which looks at patterns in patient mammograms across a series of scans and uses an algorithm to model a patient's risk of developing breast cancer over time. The program was "trained" with more than 200,000 breast imaging scans from Massachusetts General Hospital and has been tested on over 100,000 women in different hospitals across the world. According to MIT, MIRAI "has been shown to be more accurate in predicting the risk for developing breast cancer in the short term (over a 3-year period) compared to traditional tools." It has also been able to detect breast cancer up to five years before a patient receives a diagnosis.
The challenges for cancer-detecting AI tools now is not just accuracy. AI tools are also being challenged to perform consistently well across different ages, races, and breast density profiles, particularly given the increased risks that different women face. For example, Black women are 42 percent more likely than white women to die from breast cancer, despite having nearly the same rates of breast cancer as white women. Recently, an FDA-approved AI device for screening breast cancer has come under fire for wrongly detecting cancer in Black patients significantly more often than white patients.
As AI technology improves, radiologists will be able to accurately scan a more diverse set of patients at a larger volume than ever before, potentially saving more lives than ever.