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What the Microbiome Reveals About the Future of Cancer Research

Yet funding is only part of the equation. Microbiome science does not fit neatly within a single discipline or institution, and no single lab or cancer center can answer these questions alone. Advancing discoveries into clinical trials — and ultimately into standard care — requires coordination among research institutions, healthcare systems, government and philanthropy.

This effort also means untangling years of siloed work: sharing standards, building interoperable data systems and committing to long-term evidence generation. The infrastructure required will need to extend far beyond individual institutional priorities. Patients, too, must be willing to participate in clinical trials, and all stakeholders must share a commitment to understanding the biology within us.

The challenge is not a lack of scientific talent. It is the willingness to invest — and to bring great minds and communities together.

Alternative mRNA modification lets ribosomes move nearly twice as fast

In a new study, scientists from Johns Hopkins Medicine report that an experimental mRNA-based platform has the potential to help deliver next-generation mRNA therapeutics, including vaccines to fight infectious diseases, cancer and autoimmune conditions, faster and more efficiently than the industry standard.

In experiments with cells from people and mice, researchers at Johns Hopkins Medicine and the National Institutes of Health (NIH) compared an experimental mRNA platform, N4-acetylcytidine (ac4C), with the industry-standard mRNA platform, N1-Methylpseudouridine (m1Ψ). The chemical modification used in COVID-19 mRNA vaccines is being widely studied for delivering potential cancer and autoimmune disease vaccines.

The study was published July 1 in Nature.

Electronic skin improves temperature and pressure sensing for personalized prosthetics

An electronic skin with a sensing system that can detect pressure and temperature could someday help amputees gain feeling in their prosthetics. The work, led by Washington State University researchers and published in the journal Cell Reports Physical Science, can sense at a scale 10 times finer than current commercial glove sensors.

“This approach democratizes the production of medical-grade e-skins, making advanced tactile feedback viable for widespread clinical adoption,” said Hongyi Shen, a graduate student in the School of Mechanical and Materials Engineering and first author on the paper. “This work lays a crucial foundation for a full bionic skin with both sensing and haptic stimulation functions on prosthetics.”

Haptic stimulation replicates the sense of touch. Providing even partial sensation for amputees could greatly improve their ability to perform tasks.

How antibiotics work inhibiting RNA polymerase?

Scientists have long been fascinated by two promising classes of antibiotics that disable RNA polymerase (RNAP). They knew that these drugs could grind gene expression to a halt in several pathogens, including the bacterium behind tuberculosis, by binding to specific locations in the RNAP. But despite decades of study, a key question remained: what process are the drugs actually targeting?

Now, a new paper in PNAS solves that mystery and simultaneously uncovers a new element of basic biology. Using these antibiotics as tools to clarify the finer points of RNAP function, the researchers discovered that the enzyme works only if a certain moving part briefly swings into place to stabilize RNA synthesis—and that these drugs disable the enzyme by preventing that motion. The findings reveal a previously unknown mechanism of RNA synthesis shared across diverse forms of life and lay the groundwork for developing next-generation antibiotics.

“It’s sort of a two-for-one,” says the senior author. “We now know how these inhibitors work, and the inhibitors also revealed a conformational change in the active site that we didn’t know was important.”

Neural network approach makes AI uncertainty checks far more efficient

McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine when human oversight is needed, when additional data should be collected and when a model is being asked to work beyond the conditions it was trained for, the researchers said.

“Artificial intelligence systems now play a central role in daily life, from medical diagnosis and content moderation to autonomous driving and AI agents that act on our behalf,” said Mame Diarra Touré, lead author and Ph.D. candidate in the Department of Mathematics and Statistics. “As these systems take on more responsibility, they need to become more trustworthy. They should recognize when they are uncertain, rather than giving confident answers in situations where they may be wrong.”

The research was supervised by David A. Stephens, professor in the Department of Mathematics and Statistics. “Singular Bayesian Neural Networks,” by Mame Diarra Touré and Stephens, was presented at the Forty-Third International Conference on Machine Learning (ICML 2026).

Why Doesn’t the Federation Use Replicators to Become Infinitely Rich?

If the Federation can replicate food, clothing, furniture, spare parts, and even medical supplies, then why doesn’t it simply use replicators to become infinitely rich?

The answer is much more interesting than simply saying “money doesn’t matter in Star Trek.”

Replicators don’t create infinite wealth — they create abundance.

Once almost anyone can produce a particular object on demand, that object stops being scarce. And when scarcity disappears, so does much of its economic value.

But replicators can’t eliminate every kind of scarcity.

You can’t replicate land. You can’t replicate a historic location. You can’t instantly replicate decades of human experience, expertise, creativity, reputation, or time.

Abstract: 6 Department of Urology, Mayo Clinic, Rochester, Minnesota, USA

6 Department of Urology, Mayo Clinic, Rochester, Minnesota, USA.

7Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.

Address correspondence to: Zhenkun Lou or Robert W. Mutter, Mayo Clinic, Kellen Building 401,200 First Street SW, Rochester, Minnesota 55,905, USA. Phone: 507.284.2702; Email: [email protected] (ZL). Phone: 507.284.3261; Email: [email protected] (RWM).

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