Signs of Breast Cancer Could Be Spotted 3-6 Years Before Diagnosis Using AI Screening, Shows Massive Study

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AI could have detected disease up to 6 years before 2014 breast cancer diagnosis screenings

Early warning signs of breast cancer could have been spotted years in advance using AI, suggests a new study that analyzed 88,963 mammograms performed during a 10-year period on over 31,000 patients.

The researchers showed that the latest artificial intelligence technology can provide an “early alert” for the disease up to six years before a diagnosis.

Swedish researchers tested three commercially available AI-based computer-assisted detection (AI-CAD) radiology systems on the mammogram data.

The findings, published in the journal Radiology, showed that cancer prediction scores issued by AI-CAD were elevated, on average, for people who were eventually diagnosed with breast cancer, while scores were low for those who remained cancer-free.

“Approximately 20% of breast cancer cases demonstrate mammographic signs that are already visible to AI around six years before diagnosis,” said senior co-author Professor Fredrik Strand, of Karolinska University Hospital, Stockholm.

“Our study confirms the potential of AI to, in some cases, find signs of cancer in the mammograms much earlier than when radiologists detected it.”

AI-based systems have shown promise for predicting 5-year risk of breast cancer and identifying women at risk of “interval” cancers between regular screening mammograms, but Prof. Strand’s team looked at their potential to flag mammographic signs that were present up to 10 years (in advance), after collecting mammograms from volunteers aged 40 to 74 across Sweden.

After these volunteer screening exams, two radiologists analyzed each mammogram, which was scheduled every two years—taken between 2008 and 2019.

Across that period, 12,072 of the participants (38.5%) were diagnosed with cancer by radiologist readers.

The AI-CAD systems successfully identified many of those cancers at earlier screening points.

It achieved 90% “specificity” (able to distinguish between a true positive and a true negative result) in nearly 20% of participants six years before their recorded diagnosis, up to 25% of individuals four years before diagnosis and up to nearly 40% two years before diagnosis.

“This study aims to add to the growing literature regarding the application of AI in breast cancer screening and how it can help play a role in earlier detection of breast cancer,” said Strand.

“Analyzing the AI scores of screened individuals over time could provide insight into how early detectable changes arise, potentially allowing for earlier intervention.” Signs of Breast Cancer Could Be Spotted 3-6 Years Before Diagnosis Using AI Screening, Shows Massive Study:
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Genetic Mutation Could Pave the Way for Self-Fertilizing Cereal Crops and a Revolution in Agriculture

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Danish researchers have found a molecular switch that lets plants partner with nitrogen-fixing bacteria instead of fighting them, opening the way to self-fertilizing cereal crops like wheat and barley.

Their new research highlights an important biological clue that could help reduce agriculture’s heavy reliance on artificial nitrogen fertilizer.

Plants require nitrogen to grow, and most crop species can obtain it only through fertilizer. A small group of plants, including peas, clover, and beans, can grow without added nitrogen. They do this by forming a partnership with specific bacteria that turn nitrogen from the air into a form the plant can absorb.

In the industry, they’re known as nitrogen fixers, and crop-rotation methods dating as far back as the 17th century saw clover used to cover fields following harvests to replenish the nitrogen content of the soil.

Scientists worldwide are working to understand the genetic and molecular basis of this natural nitrogen-fixing ability. The hope is that this trait could eventually be introduced into major crops such as wheat, barley, and maize.

If achieved, these crops could supply their own nitrogen. This shift would reduce the need for synthetic fertilizer, which currently represents about 2% of global energy consumption and produces significant CO2 emissions.

That’s where the researchers at Aarhus University come in—who have now identified small receptor changes in plants that cause them to temporarily shut down their immune defenses and enter a cooperative relationship with nitrogen-fixing bacteria.

“We are one step closer to a greener and climate-friendlier food production,” said Kasper Røjkjær Andersen and Simona Radutoiu, professors of molecular biology at Aarhus University and part of the team behind the discovery.

Plants rely on cell-surface receptors to sense chemical signals from microorganisms in the soil. Some bacteria release compounds that warn the plant they are “enemies,” prompting defensive action. Others signal that they are “friends” able to supply nutrients.

Legumes such as peas, beans, and clover allow specialized bacteria to enter their roots. Inside these root tissues, the bacteria convert nitrogen from the atmosphere and share it with the plant. This partnership, known as symbiosis, is the reason legumes can grow without artificial fertilizer.

Aarhus University researchers found that this ability is strongly influenced by just two amino acids within the root protein.

“This is a remarkable and important finding,” says Radutoiu.

The root protein functions as a “receptor” that reads signals from bacteria. It determines whether the plant should activate its immune system (alarm) or accept the bacteria (symbiosis).

The team identified a small region in the receptor protein that they named Symbiosis Determinant 1. This region functions like a switch that controls which internal message the plant receives.

By modifying only two amino acids within this switch, the researchers changed a receptor that normally triggers immunity so that it instead initiated symbiosis with nitrogen-fixing bacteria in a way the plant’s natural behavior would never permit.

“We have shown that two small changes can cause plants to alter their behavior on a crucial point from rejecting bacteria to cooperating with them,” Radutoiu explains.

In laboratory experiments, the researchers successfully engineered this change in the plant Lotus japonicus. They then tested the concept in barley and found that the mechanism worked there as well.

“It is quite remarkable that we are now able to take a receptor from barley, make small changes in it, and then nitrogen fixation works again,” says Kasper Røjkjær Andersen.

The long-term potential is significant. If these modifications can be applied to other cereals, it may ultimately be possible to breed wheat, maize, or rice capable of fixing nitrogen on their own, similar to legumes.“But we have to find the other, essential keys first,” Radutoiu notes. “Only very few crops can perform symbiosis today. If we can extend that to widely used crops, it can really make a big difference on how much nitrogen needs to be used.” Genetic Mutation Could Pave the Way for Self-Fertilizing Cereal Crops and a Revolution in Agriculture
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