Dry, arid and remote farming regions are vulnerable to water shortages, but scientists are working on a promising new solution.
As scientists have searched for solutions, an alternative water supply has been hiding in plain sight: Water vapor in the atmosphere. It is abundant, available, and endlessly renewable, just waiting for the moment that technological innovation and necessity converged to make it fit for use. Now, new super-moisture-absorbent gels developed by Yu and a team of researchers can pull that moisture from the air and bring it into soil, potentially expanding the map of farmable land around the globe to dry and remote regions that suffer from water shortages.
"This opens up opportunities to turn those previously poor-quality or inhospitable lands to become useable and without need of centralized water and power supplies," Yu said.
A renewable source of freshwater
The hydrogels are a gelatin-like substance made from synthetic materials. The gels activate in cooler, humid overnight periods and draw water from the air. During a four-week experiment, Yu's team observed that soil with these gels provided enough water to support seed germination and plant growth without an additional liquid water supply. And the soil was able to maintain the moist environment for more than a month, according to Yu.
The super absorbent gels developed at the University of Texas at Austin.
Xingyi Zhou, UT Austin
"It is promising to liberate underdeveloped and drought areas from the long-distance water and power supplies for agricultural production," Yu said.
Crops also rely on fertilizer to maintain soil fertility and increase the production yield, but it is easily lost through leaching. Runoff increases agricultural costs and contributes to environmental pollution. The interaction between the gels and agrochemicals offer slow and controlled fertilizer release to maintain the balance between the root of the plant and the soil.
The possibilities are endless
Harvesting atmospheric water is exciting on multiple fronts. The super-moisture-absorbent gel can also be used for passively cooling solar panels. Solar radiation is the magic behind the process. Overnight, as temperatures cool, the gels absorb water hanging in the atmosphere. The moisture is stored inside the gels until the thermometer rises. Heat from the sun serves as the faucet that turns the gels on so they can release the stored water and cool down the panels. Effective cooling of the solar panels is important for sustainable long-term power generation.
In addition to agricultural uses and cooling for energy devices, atmospheric water harvesting technologies could even reach people's homes.
"They could be developed to enable easy access to drinking water through individual systems for household usage," Yu said.
Next steps
Yu and the team are now focused on affordability and developing practical applications for use. The goal is to optimize the gel materials to achieve higher levels of water uptake from the atmosphere.
"We are exploring different kinds of polymers and solar absorbers while exploring low-cost raw materials for production," Yu said.
The ability to transform atmospheric water vapor into a cheap and plentiful water source would be a game-changer. One day in the not-too-distant future, if climate change intensifies and droughts worsen, this innovation may become vital to our very survival.
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.