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AI could predict whether cancer treatments will work, experts say: ‘Exciting time in medicine'

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AI could predict whether cancer treatments will work, experts say: ‘Exciting time in medicine'

A chemotherapy alternative called immunotherapy is showing promise in treating cancer — and a new artificial intelligence tool could help ensure that patients have the best possible experience.

Immunotherapy, first approved in 2011, uses the cancer patient’s own immune system to target and fight cancer

While it doesn’t work for everyone, for the 15% to 20% who do see results, it can be life-saving.

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Like any medication, immunotherapy has the potential for adverse side effects — which can be severe for some. 

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Studies show that some 10% to 15% of patients develop “significant toxicities.”

A chemotherapy alternative called immunotherapy is showing promise in treating cancer — and a new artificial intelligence tool could help ensure that patients have the best possible experience. (iStock)

Headquartered in Chicago, GE HealthCare — working in tandem with Vanderbilt University Medical Center (VUMC) in Nashville, Tennessee — has created an AI model that’s designed to help remove some of the uncertainties surrounding immunotherapy.

Over the five years it’s been in development, the AI model was trained on thousands of patients’ electronic health records (EHRs) to recognize patterns in how they responded to immunotherapy, focusing on safety and effectiveness.

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“The model predicts which patients are likely to derive the benefit from immunotherapy versus those patients who may not,” said Jan Wolber, global digital product leader at GE HealthCare’s pharmaceutical diagnostics segment, in an interview with Fox News Digital.

“It also predicts which patients have a likelihood of developing one or more significant toxicities.”

When pulling data from the patient’s health record, the model looks at demographic information, preexisting diagnoses, lifestyle habits (such as smoking), medication history and more.

Immunotherapy, which was first approved in 2011, uses the cancer patient’s immune system to target and fight cancer.  (iStock)

“All of these data are already being collected by the patient’s oncologist, or they’re filling out a form in the waiting room ahead of time,” said Travis Osterman, a medical oncologist and associate chief medical information officer at Vanderbilt University Medical Center, in an interview with Fox News Digital.

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(Osterman is working with Wolber on the development of the AI model.)

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“We’re not asking for additional blood samples or complex imaging. These are all data points that we’re already collecting — vital signs, diagnoses, lab values, those sorts of things.”

In a study, the AI model showed 70% to 80% accuracy in predicting patients’ responses to immunotherapies, according to an article published in the Journal of Clinical Oncology Clinical Cancer Informatics.

“While the models are not perfect, this is actually a very good result,” Wolber said. “We can implement those models with very little additional effort because there are no additional measurements required in the clinic.”

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‘Natural progression’

This type of technology is “a natural progression of what we’ve been doing in medicine for a very long time,” Osterman said.

“The only difference is, instead of surveying patients, we’re taking the entirety of the medical record and looking for risk factors that contribute to an outcome,” he said in an interview with Fox News Digital.

The AI model was trained on thousands of patients’ electronic health records to recognize patterns in how they responded to immunotherapy, focusing on safety and effectiveness. (iStock)

With immunotherapy, there is generally a lower response rate than with chemotherapy, Osterman noted — but some patients have “incredible responses” and ultimately become cancer-free.

“I would be horrified to know that one of my patients that I didn’t give immunotherapy to could have been one of the tremendous responders,” he told Fox News Digital. 

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Conversely, Osterman noted that in rare cases, immunotherapy can have some serious side effects.

“I would be horrified to know that one of my patients that I didn’t give immunotherapy to could have been one of the tremendous responders.”

“I would say about half of patients don’t have any side effects, but for those who do, some of them are really life-altering,” he said. 

“We don’t want to miss anyone, but we also don’t want to harm anyone.”

At the core of the AI project, Osterman said, is the ability to “put all the information into the exam room,” so the oncologist can counsel the patient about the risks and benefits of this particular therapy and make the best, most informed decision about their care. 

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Combining technology and human expertise

Dr. Marc Siegel, clinical professor of medicine at NYU Langone Medical Center and a Fox News medical contributor, was not involved in the AI model’s development but commented on its potential.

“AI models are emerging that are helping to manage responses to cancer treatments,” he told Fox News Digital. 

Dr. Marc Siegel, clinical professor of medicine at NYU Langone Medical Center and a Fox News medical contributor, was not involved in the AI model’s development but weighed in on its potential. “AI models are emerging that are helping to manage responses to cancer treatments,” he said. (Dr. Marc Siegel)

“These can allow for more treatment options and be more predictive of outcome.”

AI models like this one are an example of “the essential future of personalized medicine,” Siegel said, “where each patient is approached differently and their cancer is analyzed and treated with precision using genetic and protein analysis.”

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As long as physicians and scientists remain in charge — “not a computer or robot” — Siegel said that “there is no downside.”

Potential limitations

The AI model does carry some degree of limitations, the experts acknowledged.

“The models obviously do not return 100% accuracy,” Wolber told Fox News Digital. “So there are some so-called false positives or false negatives.” 

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The tool is not a “black box” that will provide a surefire answer, he noted. Rather, it’s a tool that provides data points to the clinician and informs them as they make patient management decisions.

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Osterman pointed out that the AI model uses a “relatively small dataset.”

“We would love to be able to refine our predictions by learning on bigger data sets,” he said.

The tool is not a “black box” that will provide a surefire answer, one of the researchers said; rather, it’s a tool that provides data points to clinicians and informs them as they make patient management decisions. (iStock)

The team is currently looking for partnerships that will enable them to test the AI model in new settings and achieve even higher accuracy in its predictions. 

Another challenge, Osterman said, is the need to integrate these AI recommendations into the workflow.

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“This is pretty new for us as a health care community, and I think we’re all going to be wrestling with that question,” he said. 

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Looking ahead, once the AI model has achieved the necessary regulatory approvals, GE HealthCare plans to make the technology available for widespread use by clinicians — perhaps even expanding to other care areas, such as neurology or cardiology.

There is also the potential to incorporate it into drug development.

“We don’t want to miss anyone, but we also don’t want to harm anyone.”

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“One of the things that drug makers struggle with is that some of the agents that may be really useful for some patients could be really toxic for others,” Osterman said.

“If they were able to pick which patients could go into a trial and exclude patients with the highest risk of toxicity, that could mean the difference between that drug being made available or not.”

He added, “If this means that we’re able to help tailor that precision risk to patients, I’m in favor of that.”

Ultimately, Osterman said, “it’s a really exciting time to be in medicine … I think we’re going to look back and regard this as the golden age of AI recommendations. I think they’re probably here to stay.”

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Simple daily habit may help ease depression more than medication, researchers say

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Simple daily habit may help ease depression more than medication, researchers say

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This story discusses suicide. If you or someone you know is having thoughts of suicide, please contact the Suicide & Crisis Lifeline at 988 or 1-800-273-TALK (8255).

A new study suggests that exercise can treat depression just as effectively as therapy and antidepressants.

A Cochrane review looked at 73 randomized controlled trials involving nearly 5,000 adults with a depression diagnosis. The studies compared exercise with either other active treatments — such as therapy or medication — or with “inactive interventions,” like being placed on a wait list or in a control group.

The London-based team discovered that exercise may be “moderately effective” compared to no therapy in reducing depression symptoms, according to a press release.

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EXERCISE AFFECTS THE HEART IN A HIDDEN, POWERFUL WAY BY REWIRING NERVES, STUDY FINDS

“There is probably little to no difference in depressive symptoms between people undertaking exercise and those receiving psychological therapy,” the authors noted in a study discussion on Cochrane’s website, and “there may be little to no difference in depressive symptoms between people doing exercise and those taking antidepressants.”

The analysis discovered that exercise may be “moderately effective” compared to no therapy in reducing depression symptoms. (iStock)

The review found that light- to moderate-intensity exercise was more beneficial for easing depression symptoms than vigorous exercise.

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No single type of physical activity stood out as the best, but mixed programs that included resistance training appeared to be “more effective” than just aerobic exercise. 

Some forms of exercise, like yoga and stretching, were not included in the analysis, but are areas to be further researched, the review noted.

Mixed exercise programs and resistance training appeared to be “more effective” in easing depression symptoms than just aerobic exercise. (iStock)

Professor Andrew Clegg, lead author of the review, wrote in a statement that exercise “appears to be a safe and accessible option for helping to manage symptoms of depression.”

“This suggests that exercise works well for some people, but not for everyone, and finding approaches that individuals are willing and able to maintain is important,” he said.

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Study limitations and risks

The researchers noted that there was a high risk of bias in some of the studies included in the review, and noted that the long-term effects of exercise on depression symptoms remain uncertain.

COMMON SPICE MAY BEAT DEPRESSION AND BOOST SEXUAL HEALTH, DOCTOR SAYS

Clegg noted that “larger, high-quality studies” are needed to determine which types of exercise work best and whether the benefits last over time.

The comparison between exercise and other treatments and how they benefit people’s quality of life were also “inconsistent and uncertain.”

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“Adverse events from exercise were not common,” the researchers mentioned. “The small number of participants who experienced them usually reported muscle and joint problems or worsening of depression.”

About 21 million U.S. adults had at least one major depressive episode in a recent year — equivalent to roughly 8.3% of all U.S. adults, according to the National Institutes of Health. (iStock)

“Future research should focus on improving the quality of the studies, working out which characteristics of exercise are effective for different people, and ensuring different types of people are included in the studies so that health equity issues can be considered,” they went on.

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About 21 million U.S. adults had at least one major depressive episode in a recent year — equivalent to roughly 8.3% of all U.S. adults, according to the National Institute of Mental Health.

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Depression symptoms include feelings of sadness, hopelessness, anxiety, guilt or irritability, as well as loss of interest or pleasure in hobbies and activities. Fatigue, poor concentration, sleep disturbances, appetite changes and social withdrawal are also red flags, in addition to thoughts about dying or suicidal ideations. 

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The condition is most often treated by antidepressant medications and psychological therapies, such as talk therapy. Anyone who needs help should consult their doctor.

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4 Mistakes People Make When Starting a GLP-1 That Can Stall Weight Loss—Plus How to Maximize Your Results

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4 Mistakes People Make When Starting a GLP-1 That Can Stall Weight Loss—Plus How to Maximize Your Results


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Researchers locked flu patients in a hotel with healthy adults — no one got sick

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Researchers locked flu patients in a hotel with healthy adults — no one got sick

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With an aggressive new strain spreading across the country, this year’s flu season has been marked by record-high hospitalizations and reportedly intense symptoms.

As people look for ways to contain the spread, new research has found that a few simple factors can greatly reduce transmission.

Researchers from the University of Maryland Schools of Public Health and Engineering in College Park and the School of Medicine in Baltimore studied influenza spread by placing flu-positive college students in a hotel room with healthy middle-aged adult volunteers.

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The study, published in the journal PLOS Pathogens, is reportedly the first clinical trial investigating how the flu spreads from naturally infected people to uninfected people, according to a press release.

The participants, including 11 healthy volunteers, lived on a quarantined floor of a Baltimore-area hotel for two weeks. During that time, they simulated interactions, including having conversations, doing physical activities like yoga, and passing around objects like pens and tablets from infected people to the rest of the group.

New research has experts questioning how the flu spreads through airborne transmission. (iStock)

Researchers monitored the participant’s symptoms, performed daily nasal swabs, and collected saliva and blood samples to test for antibodies, the release stated.

The study also measured the “viral exposure” in the volunteers’ breathing air and ambient air in the activity room. The exhaled breath of the participants was measured by a machine called the Gesundheit II, invented by researcher Dr. Donald Milton and colleagues at Harvard T.H. Chan School of Public Health.

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At the end of the experiment, none of the healthy individuals had become infected with the flu due to a variety of factors. This included a lack of coughing, as the infected students were holding “a lot of virus in their noses” and only small amounts were “expelled into the air,” the researchers noted.

Researchers said proper ventilation was a major factor in halting flu spread in this study. (iStock)

“Our data suggests key things that increase the likelihood of flu transmission — coughing is a major one,” Dr. Jianyu Lai, post-doctoral research scientist and the study’s lead data analyst and report writer, shared in a statement.

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The other factor was ventilation and air movement, as the air in the study room was “continually mixed rapidly by a heater and dehumidifier, and so the small amounts of virus in the air were diluted,” Lai pointed out.

The researcher added that middle-aged adults are “usually less susceptible” to influenza than younger adults.

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Most researchers assume that airborne transmission is a major factor of disease spread, according to Dr. Donald Milton, professor at SPH’s Department of Global, Environmental and Occupational Health and a global infectious disease aerobiology expert.

“At this time of year, it seems like everyone is catching the flu virus, and yet our study showed no transmission,” he said in the same press release. “What does this say about how flu spreads and how to stop outbreaks?”

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There have been 81,000 flu-related hospitalizations and more than 3,000 deaths in the U.S. this year so far, data shows. (iStock)

Milton, who was reportedly among the first experts to identify how to stop the spread of COVID-19, noted that findings from these types of trials are essential to updating international infection-control guidelines.

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“Being up close, face-to-face with other people indoors where the air isn’t moving much, seems to be the most risky thing — and it’s something we all tend to do a lot,” he said.

“At this time of year, it seems like everyone is catching the flu virus, and yet our study showed no transmission.”

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“Our results suggest that portable air purifiers that stir up the air, as well as clean it, could be a big help,” Milton suggested. “But if you are really close and someone is coughing, the best way to stay safe is to wear a mask, especially the N95.”

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Approximately 11 million flu illnesses and about 5,000 deaths have occurred so far in the 2025-2026 influenza season, according to CDC data. A large share of the current flu cases are caused by the new influenza A subclade K variant.

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