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Artificial intelligence model to help scientists predict whether breast cancer will spread

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Artificial intelligence model to help scientists predict whether breast cancer will spread

Oncologists in the U.K. have developed an AI model to help predict whether aggressive forms of breast cancer will spread based on changes in a patient’s lymph nodes. 

The research was published Thursday in the Journal of Pathology by Breast Cancer Now and funded by scientists at King’s College of London. 

Secondary or “metastatic breast cancer” refers to when breast cancer cells spread to other parts of the body. Although treatable, it can’t be cured. 

Researchers behind last week’s study hope that by using AI to analyze the immune response in the lymph nodes of women with triple-negative breast cancer, they can better gauge how likely the disease will spread. 

NEW BREAST CANCER SCREENING GUIDELINES CALL FOR WOMEN TO START MAMMOGRAMS AT AGE 40

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FILE: A doctor exams mammograms, a special type of X-ray of the breasts, which is used to detect tumors as part of a regular cancer prevention medical check-up at a clinic in France.  (REUTERS/Eric Gaillard)

Lymph nodes are lumps of tissue throughout the body, critical for helping the body fight infection and disease. If breast cancer cells start spreading, patients typically require more intensive treatment. 

ARTIFICIAL INTELLIGENCE HELPING DETECT EARLY SIGNS OF BREAST CANCER IN SOME US HOSPITALS

Still, the researchers believe that it’s possible to predict whether the cancer cells will spread based on their immune response. 

Paige AI assisting cancer diagnosis

AI is assisting pathologists in determining overall tumor percentage, tumor length and categorizing areas suspicious for cancer. (Paige AI)

Dr. Anita Grigoriadis, who led the research, said the team took findings from under a microscope and “translated them into a deep-learning framework to create an AI model potentially help doctors treat and care for patients, providing them with another tool in their arsenal for helping to prevent secondary breast cancer.” 

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The researchers tested the AI model on more than 5,000 lymph nodes donated by nearly 350 patients to biobanks.

“By demonstrating that lymph node changes can predict if triple-negative breast cancer will spread, we’ve built on our growing knowledge of the important role that immune response can play in understanding a patient’s prognosis,” Grigoriadis said. 

Woman undergoing a breast cancer screening test

A woman getting a mammogram.  (Fox News)

The team is planning to further test the model at centers across Europe.

“The transition from assessing tissue on glass slides under a microscope to using computers in the [National Health Service] is gathering pace,” Grigoriadis said. “We want to leverage this change to develop AI-powered software based on our model for pathologists to use to benefit women with this hard-to-treat breast cancer.” 

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Semaglutide Pills and Injections Vs. Drops: Experts Weigh In | Woman's World

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Semaglutide Pills and Injections Vs. Drops: Experts Weigh In | Woman's World


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Jennifer Hudson Lost 80-Lbs Without Depriving Herself—Learn Her Secrets

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Jennifer Hudson Lost 80-Lbs Without Depriving Herself—Learn Her Secrets


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Kennedy’s Plan for the Drug Crisis: A Network of ‘Healing Farms’

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Kennedy’s Plan for the Drug Crisis: A Network of ‘Healing Farms’

Though Mr. Kennedy’s embrace of recovery farms may be novel, the concept stretches back almost a century. In 1935, the government opened the United States Narcotic Farm in Lexington, Ky., to research and treat addiction. Over the years, residents included Chet Baker and William S. Burroughs (who portrayed the institution in his novel, “Junkie: Confessions of an Unredeemed Drug Addict”). The program had high relapse rates and was tainted by drug experiments on human subjects. By 1975, as local treatment centers began to proliferate around the country, the program closed.

In America, therapeutic communities for addiction treatment became popular in the 1960s and ’70s. Some, like Synanon, became notorious for cultlike, abusive environments. There are now perhaps 3,000 worldwide, researchers estimate, including one that Mr. Kennedy has also praised — San Patrignano, an Italian program whose centerpiece is a highly regarded bakery, staffed by residents.

“If we do go down the road of large government-funded therapeutic communities, I’d want to see some oversight to ensure they live up to modern standards,” said Dr. Sabet, who is now president of the Foundation for Drug Policy Solutions. “We should get rid of the false dichotomy, too, between these approaches and medications, since we know they can work together for some people.”

Should Mr. Kennedy be confirmed, his authority to establish healing farms would be uncertain. Building federal treatment farms in “depressed rural areas,” as he said in his documentary, presumably on public land, would hit political and legal roadblocks. Fully legalizing and taxing cannabis to pay for the farms would require congressional action.

In the concluding moments of the documentary, Mr. Kennedy invoked Carl Jung, the Swiss psychiatrist whose views on spirituality influenced Alcoholics Anonymous. Dr. Jung, he said, felt that “people who believed in God got better faster and that their recovery was more durable and enduring than people who didn’t.”

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