Weighing your cancer risks

Being overweight or obese could have more impact on your cancer risk than previously thought.

Researchers at the German Cancer Center (DKFZ) say more than 10 percent of all cancer cases can be attributed to increased body weight. This is nearly twice the previous estimate.

Most studies on the link between cancer and obesity used body mass index (BMI), calculated using height and weight. But that calculation doesn’t distinguish between fat and muscle. It also can’t tell where in the body the fat has accumulated.

That matters because abdominal fat is closely linked to inflammation and other cancer-promoting mechanisms.

The DKFZ study added waist circumference and waist-hip ratio to the mix, and the results point to significantly higher numbers for cancer cases attributed to obesity.

“Since the prevalence of obesity continues to rise in most countries and the population is aging at the same time, the number of cancer cases caused by obesity is likely to continue to rise significantly in the future,” says researcher Hermann Brenner. “Effective strategies for the prevention and treatment of obesity could therefore make a much greater contribution to cancer prevention than previously assumed.”

More like this: Shedding pounds and cancer

Cancer hints from a gecko

Cancer researchers might be getting important clues from a pet gecko.

Unlike turtles and tortoises, which rarely develop tumors, 80 percent of leopard geckos, often called the “lemon frost” morph, develop aggressive tumors.

A new study led by researchers from the University of Nottingham has identified genomic changes with this cancer. These changes affect the same genes and biological processes seen in human cancers.

“By studying why some animals are so susceptible to cancer while others are remarkably resistant, we hope to uncover the different ways species have evolved to deal with cancer,” says study leader Ylenia Chiari. “Specifically, this gecko could become an incredible model in cancer research because tumors appear naturally at a relatively early age. Together, these natural strategies could inspire new ways of preventing, detecting and treating cancer in humans.”

The lemon frost gecko arose from a spontaneous genetic mutation during selective breeding. Researchers generally induce tumors in lab mice. In the lemon frost geckos, the tumors occur naturally and often metastasize.

More like this: Looking to nature for better drugs

The fields are ripe for technology

Large language models could soon become some of farmers’ most valuable field hands, estimating harvests, judging when fruit is ripe and even recommending the best time to pick crops.

Khalifa University researchers have developed a new system that combines advanced computer vision with a large language model to analyze densely packed fruit in real-world conditions. These challenges have long frustrated existing agricultural AI.

Previous systems trained on carefully controlled images. The researchers built their new model using more than 1,100 images collected from a blueberry farm in Al Ain, UAE. These images capture the realities of modern agriculture, including uneven lighting, overlapping fruit, dense foliage and complex backgrounds.

The new framework, called SAMConvFormer, combines Meta’s Segment Anything Model with a hybrid convolutional neural network and vision transformer. This framework can more accurately distinguish individual berries even when they are partially hidden or clustered together.

The improvements translate into more reliable crop management.

The system estimates overall yield, classifies berries into five stages of ripeness and passes the information to a large language model that generates practical recommendations for growers. The system can also suggest the best time to harvest, labor requirements and resource allocation.

CAPTION: Crop monitoring concept IMAGE: Shutterstock

Tests showed the new approach significantly outperformed existing crop-segmentation methods, improving detection accuracy by as much as 31 percent over the baseline model while also delivering more precise estimates of yield and ripeness. The researchers reported yield estimates that were about 90 percent accurate compared with manually annotated data, while ripeness classification exceeded 97 percent accuracy across all maturity stages.

The team believes the framework could help accelerate the adoption of precision agriculture by giving growers a practical decision-support tool that works under real farming conditions rather than ideal laboratory settings.

By making both the AI framework and its real-world dataset publicly available, the researchers hope to spur further advances in automated crop monitoring and smarter, more sustainable food production.

More like this: Drones help farmers grow greener

Catching the wave


B

uried deep in the untouched sediments of a lake in the Alps of northwestern France lay the clues to a geological mystery nearly 12,000 years old. But it took the combined efforts of mathematicians and geologists to not only  piece together proof of an ancient natural disaster but also help modern humans protect themselves from future catastrophes.

The origins of our recent study can be traced to 2016, when two geologists from the University of Savoy Mont Blanc (USMB) embarked on an expedition to Lake Aiguebelette. This lake had, until then, remained uncharted territory for sedimentologists, and its sediments held the promise of untold stories.

This initial exploration sparked the curiosity of Mathilde Banjan, whose Ph.D. thesis became a quest to unravel the geological history hidden beneath the lake’s tranquil surface. Over the course of her research, she meticulously analyzed sediment cores, performed radiocarbon dating and identified traces of several ancient earthquakes.

Denys Dutykh

Denys Dutykh is an associate professor of mathematics at Khalifa University.

Among these findings, one event stood out — a major underwater sediment landslide that occurred approximately 11,700 years ago. The triggering of this landslide by one of the detected earthquakes was established, yet one question lingered: Could this landslide have triggered a tsunami?

The enigma of this potential ancient tsunami remained unsolved at the conclusion of Banjan’s Ph.D. This is a mystery that begged further investigation, and thus, the quest continued.

In collaboration with USMB’s Pierre Sabatier, we embarked on a new journey, launching a graduate project to reconstruct this ancient event through numerical modeling. This endeavor was spearheaded by Muhammad Naveed Zafar, our Ph.D. student, under joint supervision. Our approach was systematic: First, we reconstructed the landslide event, validated by geological data. Then, by coupling this reconstruction with a hydrodynamic model, we simulated the generated wave field.

The results were nothing short of astonishing. The simulations revealed that the ancient tsunami produced waves up to 3.5 meters high.

Imagine the scale of such a wave in a serene alpine lake and the sheer force it would have unleashed upon the surrounding landscape. Thankfully, 11,700 years ago, the area around Lake Aiguebelette was sparsely inhabited, sparing ancient communities from what would have been a cataclysmic event.


The results were nothing short of astonishing. The simulations revealed that the ancient tsunami produced waves up to 3.5 meters high.


These findings, published in the Journal of Geophysical Research: Solid Earth, shed light on the complex interplay between seismic activity, sediment dynamics and tsunami generation in alpine lakes. Our study underscores the importance of interdisciplinary collaboration, as it was the fusion of mathematics and geosciences that enabled us to solve this ancient riddle.

The implications of our work extend far beyond Lake Aiguebelette. The methodologies we developed are now being applied to larger alpine lakes, enhancing our understanding of past events and helping us better estimate future hazards in these regions. This research not only enriches our historical knowledge but also equips us with tools to mitigate potential risks.

As we continue to explore the geological mysteries of alpine lakes, we invite you to stay tuned for more exciting discoveries. Each new finding brings us closer to unraveling the intricate tapestry of Earth’s dynamic history, and we are thrilled to share this journey with you.

More like this: A gift from the sea

Nature’s conductor

Australian-born musician, composer and Fulbright Scholar Sam Nester has made a career for himself collaborating with scientists to turn natural patterns into sound.

He spoke with us about that work, which includes a residency with a U.S. National Park in Hawaii making music from earthquakes; using lie-detector-style technology to “listen” to plants; and, more recently, two projects as an artist-in-residence with New York University Abu Dhabi creating sound art from DNA and the Arabian Gulf’s coral reefs.

Nester and KUST Review started out talking about a project with a big purse and creative freedom. “That’s the dream of every artist,” Nester says.

Q:
Do you get that often?

Sometimes. I get that more and more now. Sometimes it’s, “Here’s some money, we want you to do something.”

And there’s other times where it’s like, “We want this thing and let’s work on it together,” so there’s already a basis for something.

And sometimes, like in Abu Dhabi, they say, “Here is what we do, what we research, what we study, the things that interest us, and you come in and do whatever it is you want to do. Hopefully some of that will be together.”

Q:
How did your work with NYUAD start? Were you talking to faculty to find out what they were doing or did you just come in with the concept and then figure out how to make it happen?

The genome thing (“Transposon”) is one of two big projects that we worked on. The other is to do with coral reefs in the Arabian Gulf. Right now I have a hydrophone – an underwater device with microphones – in the Arabian Gulf recording the soundscapes of the coral reefs. John Burt, a very well-known marine biologist, and I have started what is essentially the first soundscape study in the region.

IMAGE: Abjad Design

We record the sound of those coral reefs and how the acoustics of them change depending on the time of the year and the heat stress. Burt can also add that as a data point in research and look at the study of how the sound of those reefs determine health for the reef itself and everything that lives on or around the reef.

The genome thing (“Transposon”) is one of two big projects that we worked on. The other is to do with coral reefs in the Arabian Gulf. Right now I have a hydrophone – an underwater device with microphones – in the Arabian Gulf recording the soundscapes of the coral reefs. John Burt, a very well-known marine biologist, and I have started what is essentially the first soundscape study in the region.

We record the sound of those coral reefs and how the acoustics of them change depending on the time of the year and the heat stress.

In addition to that, as a sound artist and a musician, I’m listening to those things. And we’re collecting plastic from the Gulf and working with engineers at NYU to reconstitute it into discs. We’re basically making the equivalent of vinyl discs out of ocean plastic and I’m cutting into them the sounds of these dying coral reefs, essentially the last sounds of these coral reefs encoded into the material that’s choking them.

Q:
How do you see an exhibit like that working?

There will be publications and hopefully these records will have an installation coming out.

But for both of these projects, the genome one and the coral reefs project, NYU hosted their first artist-in-residence. That happened to be me. It was new for them to have an artist in residence in the sciences. I presented my work and basically went around to all the labs meeting scientists. The general project is with Stéphane Boissinot, the director of the Center of Genomics. His interest is in transposable elements.

What I wanted to do is find a way of turning the genome into sound. Boissinot’s focus is on the elements in genomics, repetitive things that also change. We started looking at that and playing around with the ideas of converting genomic information into musical parameters and then building with biomathematicians a code that would allow us to feed in any genetic information. It will churn out a MIDI file. That could be a piece of music and also a light installation.

Q:
So it’s like turning a genome into sheet music?

Yeah! Yeah. We can turn it into sheet music right now and I can go perform it. But I was also looking at turning it into sound and doing it in really scientific ways. I’m using digital software because we can have things that are played exactly for the length as they exist in the genome.

It’s also a way of saving data in sound, which we can then turn back into data. And it’s also a way for scientists to be able to look at their own work in different ways. We can start to hear patterns in things and of course there’s this idea of the art-science collaboration – looking at things that are being researched and ways artists think about things. Hopefully we come up with something that’s interesting for both disciplines.

IMAGE: Abjad Designs
Q:
You’ve done other work where you’re converting natural patterns into sound. With “Arcadia,” the interactive sound and light installation based on the biorhythms of plants, you have different site-specific installations. Is there a difference in the sound that you’re getting from plants from different ecosystems?

It is but maybe not the way we think about it. With “Arcadia” what it’s doing is registering changes in conductivity between two points in a plant. Essentially it’s a lie detector. Those changes from one plant to another plant or ecosystem plant to ecosystem plant are different because of the frequency at which those conductivity changes occur, how strong they are and how conductive on the scale it is. That’s to do with a whole bunch of things. One of them is the change of water in an individual system. It changes with patterns of day, night, time of the year or whether it’s going through photosynthesis. Those have a lot to do with health.

I was just in a desert in China in Inner Mongolia doing something with “Arcadia.” If the plant is healthy, the technology works relatively consistently. It does change from place to place but it’s not like one plant sounds like a chainsaw and another sounds like a piano.

That’s more my decision. I get to invent an instrument that the plant will “play,” but I don’t invent sheet music for it.

That was one of the big ways in which I can connect to scientists. One of the things I’ve done in the last eight years or so is collaborate with research scientists.

“Arcadia” was in no way a science project. I just wanted to make something that would make us think a little bit more about the rate at which things happen in plants. There are a whole bunch of biological processes in plants. How can I convert that into something that will give wonder or awe? There’s such an active part (of plant life) that we don’t see.

Years ago I had an installation at George Mason University of Virginia It was designed for a year in a greenhouse where scientists were researching medicinal and native plants. The scientists asked me if we can save the data. So I showed them how the information came out as data, how it came out as Musical Instrument Digital Interface (MIDI). It’s basically what John Burt is looking at with coral reefs, even though that’s acoustic recordings, the actual sounds of fish, shrimp, crabs and whatever lives on the reefs.

We’re looking at how those acoustic patterns change depending on time of day, night or season. The scientists at George Mason asked to see, to observe how that conductivity changes with other parameters they were looking at.

In the end they accepted it and decided maybe they could learn something from art. Which never happens. From there more and more things have happened like working with the U.S. National Parks and scientists with the U.S. Geological Survey to turn earthquake data into sound.

Q:
What does earthquake data sound like?

It’s really beautiful and interesting.

I was the artist-in-residence for Volcanoes National Park on the Big Island in Hawaii. I was collecting earthquake data, the same thing we’re doing with the genome project.

I say it’s the same thing, but the projects are obviously very different. The idea is the same – taking the data itself and converting three-and-a-half weeks of earthquakes into sound, into a playable score.

Earthquakes are happening all the time, not just the ones you feel. It was an idea that came from being there. I felt an earthquake, looked it up and realized there were tens of them before and hundreds happening after in the same place.

Of course, we don’t feel them day to day, but it’s fascinating because all of them are contributing to the shape and size of Hawaii and also the placement of our continents.

The project “Rifts” was amplifying something we didn’t hear into a way that you could maybe understand that there is so much hidden natural rhythm.

That’s a lot of what I look at. I amplify the hidden rhythms in nature.

IMAGE: Abjad Design

So I created this piece and when you hear the instruments that are playing and how loud they’re playing and how long they’re playing, each relating specifically to an earthquake and to the positioning we have in the data.

Q:
Is there a rhythm in nature you really want to explore next?

Yeah, there are a couple of things I’m interested in. I have a commission for a new piece for live performance in Houston, Texas, at a cistern. There’s a 15-million-gallon cistern (underground water storage tank). Other than the live performance, I’m looking at creating a light installation controlled by parameters of water data. Most of it is what I’m looking at with Antarctic ice melts.

Other natural rhythms I’m interested in are moonquakes, which I only learned about about a year ago.

I want to see if I can convert the quaking of the moon into a piece of music.

Q:
Say you’re at one of your installations. What is the best feedback you can overhear?

The feedback I like is not necessarily “I like it” or “I dislike it,” but does it make people ask more questions.

“Arcadia” is the same thing: “What is happening?” or “I wonder what my houseplant sounds like?” That’s the thing that’s amazing.

And now with the genome project it’s “What does my genetic code sound like?”

The best feedback is the audience thinking about their fears or excitement for the future. But also the way they connect those questions and thoughts that are already bouncing around. They’re all connected, of course, but there’s no narrative.

The best part is when they ask questions that are not necessarily about the art anymore.

The best feedback is when they start to take that and ask questions about other parts of life or existence. It tells me I’m on the right path.

More like this: Making science feel like stories