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Tryptophan Absorption Declines During Aging: Can It Be Improved?

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This common vitamin could help fight one of the deadliest brain cancers

In a small trial at the University of Calgary, 82 percent of glioblastoma patients given high dose vitamin B3 alongside standard treatment were free of disease progression at six months, about 28 percent higher than figures from earlier studies.

Glioblastoma is the most aggressive form of brain cancer and remains incurable. One of its defences is suppressing the immune cells that would otherwise attack it. The researchers are testing whether controlled release niacin, a form of vitamin B3, can revive those suppressed immune cells, given alongside the usual chemotherapy and radiotherapy.

The trial had a stopping rule written in advance. If fewer than 20 percent more patients than in previous studies were progression free at six months, the work would halt. It passed that threshold.

This is an early stage trial with a small number of patients, and the researchers say larger studies are needed to establish whether the benefit is real and whether it is safe. They also caution that high doses of vitamins carry risks of their own.

Source: ScienceDaily, October 2026 https://www.sciencedaily.com/releases/2026/10/261001095423.htm.

#cancerresearch #glioblastoma #medicalresearch #clinicaltrial #fblifestyle

Continue reading “This common vitamin could help fight one of the deadliest brain cancers” | >

An omega-3 paradox: When ‘healthy fats’ shut down defenses against cancer

Omega fatty acids have long been recognized for their benefits: supporting cardiovascular health, reducing systemic inflammation, and promoting brain development and cognitive function. But scientists now warn of a long-unrecognized downside to these compounds when it comes to cancer and immunotherapy.

New preclinical experiments by medical investigators in the Vascular Biology and Therapeutic Program at Yale University School of Medicine show that omega fatty acids can blunt the cancer-killing capabilities of the immune system’s natural killer cells.

Their research is part of a growing body of evidence suggesting that well-known—and largely beneficial—fatty acids can circumvent the body’s defenses and promote cancer growth.

‘Wireless energy internet’ roadmap charts path to light, heat and motion without batteries

Wireless charging has already transformed how people power phones, wearables and even electric vehicles. The next leap is to advance wireless technologies beyond delivering electrical energy to directly producing nonelectrical outputs, such as optical, thermal and mechanical energy, according to actual needs. This would create an energy delivery network as flexible and efficient as the internet.

To drive this transformation, researchers at The Hong Kong Polytechnic University (PolyU) have conducted a study that sets out a technical roadmap for a “wireless energy internet,” guiding the industry from “wireless power transfer” toward direct “wireless energy conversion.”

The work is published in the journal Nature Reviews Electrical Engineering.

Dreaming with the Machines

Jacob’s Dream or Jacob’s Ladder by William Blake (1805). Public Domain. Via Wikimedia Commons. Dark blue background added by SUP staff.

With the advent of powerful tools of artificial intelligence (AI) to facilitate gathering, analyzing, and interpreting dreams, new horizons of understanding have emerged for one of the most mysterious expressions of the human psyche. Modern scientists typically reject dreaming as too elusive, too subjective, and too fragmented for rigorous quantitative study. That objection no longer holds: dream reports can now be computationally modeled, and the dynamics of their recurring patterns quantitatively observed. These developments have opened a new era for the study of dreaming, dramatically expanding both our theoretical knowledge about the nature of dreams and our practical knowledge about methods of interpreting their meanings.

Dream researchers today are putting to the empirical test a host of questions that previously could only be asked in the abstract: What can massive collections of high-quality dream records, rendered into computable form, reveal about human nature past and present? How can algorithmic models deepen our understanding of dream patterns and their transformations across cultures and historical epochs? And how do we ensure that the models treat the rawest expressions of the human psyche responsibly and with scientific rigor?

New AI method uses engineering knowledge to estimate disaster damage from incomplete satellite imagery

A new technology has been developed that can rapidly predict city-scale structural damage even when portions of satellite imagery are obscured by clouds or smoke immediately after a disaster.

A research team led by professor In Ho Cho of the Department of Architecture at Seoul National University College of Engineering has presented a scientific artificial intelligence (Scientific AI) and data science framework that uses satellite imagery and various forms of open data to rapidly and accurately predict disaster-related structural damage at the city scale. By incorporating a statistical method for correcting incomplete satellite data, the researchers developed an approach that can estimate structural damage immediately after a disaster without requiring a separate, computationally expensive training stage.

The findings are published in Scientific Reports.

Kendall Haven on Story Proof: The Science Behind Story

Six months before ChatGPT arrived, I sat down for two and a half hours with the only West Point graduate ever to become a professional storyteller.

Dr. Kendall Haven also holds a doctorate in oceanography and spent eight years as a senior research scientist at the Department of Energy. Then he walked away to chase what he calls a very different kind of truth.

His bottom line stopped me cold:

“Story is not theoretical anymore. It’s not hyperbole. Story is woven into our DNA. We are story. That’s now science.”

In 2022, that sounded like a storyteller defending his craft. Today, with machines built entirely out of human language, it sounds like something else.

Kendall argues that your brain story-processes information before it ever reaches your conscious mind. Which is why throwing more #data at people almost never changes their behavior. You have to reframe the story instead. And the most effective change stories, he says, are not about change at all. They’re about preservation.

Continue reading “Kendall Haven on Story Proof: The Science Behind Story” | >

Why some young ants start hunting and caring for others early

Some insects, including honeybees and ants, live in highly organized colonies where individuals take on specific roles. In many ant societies, young adult workers typically care for developing young inside the nest before beginning to forage, or search for food, outside it. Some ant species, however, start hunting for food as soon as they reach adulthood, without undergoing a transition period.

One example is Stigmatomma pallipes, a species belonging to a group commonly called Dracula ants because adults can pierce the skin of their developing young and drink a bloodlike fluid called hemolymph. The age-independent behavior of these ants was first reported in a Science paper published in 1978 by Dr. James Traniello, who is now a professor of biology at Boston University.

Researchers at Boston University recently tried to better understand how the brain development of S. pallipes workers contributes to this early readiness for work. Their findings, published in Proceedings of the Royal Society B, suggest that regions in the brains of S. pallipes reach their largest size during the pupal stage, when immature ants transition into adulthood.

Spiking neural network learns to predict what will happen, when, and how likely it is

Imagine hearing a familiar sound and expecting something to happen. Before the event arrives, the brain can predict what it will be, when it will occur and how likely it is. Yet computational models often treat these questions separately or use learning methods that are difficult to reconcile with biological circuits. A new study proposes an alternative in which one population of spiking neurons learns all three together.

The research team was led by Associate Professor Zenas C. Chao along with Yohei Yamada, an academic specialist, from the International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Tokyo, Japan.

The researchers developed a recurrent spiking-network model to test whether a single neural population could learn event identity, timing and probability using local learning rather than backpropagation or a globally broadcast error signal. The study is published in Communications Biology.

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