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In this episode of The Moss Report, Ben Moss sits down with Dr. Ralph Moss to explore the real-world pros and cons of using artificial intelligence in cancer research and care.

From AI-generated health advice to PubMed citations that don’t exist, this honest conversation covers what AI tools are getting right—and where they can dangerously mislead.

Dr. Moss shares the results of his own AI test across five major platforms, exposing their strengths and surprising failures.

Whether you’re a cancer patient, caregiver, or simply curious about how AI is shaping the future of medicine, this episode is essential listening.

Links and Resources:

🌿 The Moss Method – Fight Cancer Naturally – (Paperback, Hardcover, Kindle) https://amzn.to/4dGvVjp.

Long working hours may alter the structure of the brain, particularly the areas associated with emotional regulation and executive function, such as working memory and problem solving, suggest the findings of preliminary research, published online in Occupational & Environmental Medicine.

Ultimately, overwork may induce neuroadaptive changes that might affect cognitive and emotional health, say the researchers.

Long working hours have been linked to heightened risks of cardiovascular disease, metabolic disorders, and mental health issues. And the International Labor Organization (ILO) estimates that overwork kills more than 800,000 people every year, note the researchers.

With wildfires increasing in frequency, severity, and size in the Western U.S., researchers are determined to better understand how smoke impacts air quality, public health, and even the weather.

As fires burn, they release enormous amounts of aerosols—the vaporized remains of burning trees and homes that enter the atmosphere and the air we breathe. Now, a new study dissects these aerosols and gases to pinpoint their potential effects on our health as well as the planet’s short and long-term weather.

The research, published in Environmental Science: Atmospheres, measured in Reno, Nevada over a 19-month period between 2017 and 2020 to capture both smoky and clear days. During this timeframe, smoke from more than 106 impacted the city’s air. DRI scientists Siying Lu and Andrey Khlystov led the research, which found increases in both fine aerosols (known as PM 2.5 for the size of the particulate matter) and during smoky days.

Chronic pain conditions, characterized by persistent or recurrent pain in specific parts of the body, can be highly debilitating and often significantly reduce the quality of life of the individuals experiencing them. Statistics suggest that approximately 20.9% of adults living in the United States have experienced chronic pain at some point in their lives, while 6.9% have experienced severe chronic pain that significantly impacted their daily functioning and well-being.

Currently, chronic pain is primarily treated using pain-relief medications, many of which are based on opioids. Yet many of these are highly addictive and have severe side effects, so they often end up causing more harm than good.

In recent years, some scientists and engineers have been trying to devise alternative strategies that do not rely on opioids and can ease the pain of patients without adversely impacting their health. One proposed solution entails the use of implantable electrical stimulators, devices that can be surgically inserted into a patient’s body, delivering to their nerves or to reduce the pain they are experiencing.

A pioneering method to simulate how nanoparticles move through the air could boost efforts to combat air pollution, suggests a study in the Journal of Computational Physics.

Tiny particles found in exhaust fumes, wildfire smoke and other forms of airborne pollution are linked with serious health conditions such as stroke, and cancer, but predicting how they move is notoriously difficult, researchers say.

Now, scientists have developed a new computer modeling approach that dramatically improves the accuracy and efficiency of simulating how nanoparticles behave in the air. In practice, this could mean simulations that can currently take weeks to run could be completed in a matter of hours, the team says.

A joint team of researchers led by scientists at King Abdullah University of Science and Technology (KAUST) and King Abdulaziz City for Science and Technology (KACST) has reported the fastest quantum random number generator (QRNG) to date based on international benchmarks. The QRNG, which passed the required randomness tests of the National Institute of Standards and Technology, could produce random numbers at a rate nearly a thousand times faster than other QRNG.

“This is a significant leap for any industry that depends on strong data security,” said KAUST Professor Boon Ooi, who led the study, which is published in Optics Express. KAUST Professor Osman Bakr also contributed to the study.

Random number generators are critical for industries that depend on security, such as health, finance, and defense. But the random number generators currently used are vulnerable because of an intrinsic flaw in their design.

A study tracking 805 Brazilians in their 50s over an eight-year period has concluded that greater focus on hearing health may play a crucial role in preventing dementia. A major study from Brazil has found that people in their 50s with hearing loss face a greater risk of cognitive decline. The fi

The Gs/Gd lineage of highly pathogenic H5 avian influenza viruses—including H5N1—has rapidly evolved, spreading globally and infecting a growing range of birds, mammals, and occasionally humans. This review highlights the expanding risks, the challenges of cross-species transmission, and urgent needs for surveillance, vaccination, and a unified One Health response.