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Nanoparticles overcome drug-resistant cancer via sequential drug release and photothermal therapy

Cancer cells frequently develop the ability to expel anticancer drugs before they can work—a phenomenon called multidrug resistance (MDR)—which is one of the leading reasons why chemotherapy fails in patients. Research published in the Journal of Controlled Release addresses that problem with a fundamentally new strategy: instead of simply increasing drug doses or switching drugs, researchers engineered nanoparticles that first disable the cancer cell’s drug-expulsion mechanism, and only then release the anticancer drug.

By combining this sequential drug delivery approach with photothermal therapy (using near-infrared laser light to heat and destroy the tumor), complete tumor elimination and 100% survival in a mouse model of drug-resistant cancer were achieved, with no detectable toxicity to normal tissues.

This remarkable drug delivery system was developed by an international research team led by Professor Eijiro Miyako at Tohoku University, who is also a Visiting Professor at Japan Advanced Institute of Science and Technology, in collaboration with the group of Drs. Alberto Bianco and Cécilia Ménard-Moyon at the French National Center for Scientific Research (CNRS)/University of Strasbourg.

How brain cells compete to shape our minds from development to aging

In a recently published review, researchers led by Prof. Wu Qingfeng at the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences explored the ongoing process of neural cell competition (NCC), a fundamental mechanism that shapes the brain across the lifespan.

The review is published in National Science Review, and provides fresh insights into how continuously “compete” for survival and how this competition impacts brain development, wiring, function, and aging.

Although neural cell competition is widely recognized for its role during early , Prof. Wu’s team demonstrated that this process continues to be vital throughout life. They revealed that NCC not only helps maintain healthy brain function but also contributes to when disrupted.

The moon’s largest impact crater scattered something priceless—and Artemis may be heading straight into it

A new study, published in Science Advances, has refined some important details about the moon’s largest and oldest impact crater, which stretches more than 1,200 miles (2,000 km) on the far side of the moon. The new details can help guide some of the planning for NASA’s upcoming Artemis mission to the moon, which is planned for 2028.

The South Pole–Aitken (SPA) basin is the moon’s largest and oldest confirmed impact basin. The basin has a unique, tapered elliptical shape that has puzzled scientists and sparked some debate over the direction and nature of the impact that formed it. Some asymmetries in the crust suggest a northward trajectory of the impactor, while the shape and the structure of the basin suggest a southward trajectory.

The authors of the new study write, “Large basins on the moon and other solid bodies (e.g., Mars and Pluto) are ellipses that taper in the downrange direction. SPA’s tapering toward the south, a steeper crustal thickness gradient toward the north, and the presence of a thorium-and iron-rich deposit toward the southwest of SPA beyond the basin rim support a southward impact trajectory.”

A blood-brain barrier-like vascular gate limits immunotherapy efficacy in neuroendocrine cancers

A blood-brain barrier-like vascular gate in small cell lung cancer and other neuroendocrine cancers blocks immune cells and drives resistance to immunotherapy. Targeting the proteins IGF1R or IGFBP5 boosts CD8+ T cell infiltration and enhances anti-PD1 therapy.

When nerve cells form new connections: approach to treating spinal cord injuries developed

In a mouse model, a new approach has led to the formation of new neural connections in the injured spinal cord, partially restoring lost function. However, further steps and studies are needed before potential treatments can be developed for humans

Humanity’s Endgame? We Built an AI That Will Command Us — MO Gawdat

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In this powerful episode, Brian Rose sits down with former Google X exec and bestselling author Mo Gawdat 🧠 to explore the mind-blowing future of Artificial Intelligence 🤯. From the rise of machine learning to the ethical dangers of unchecked AI evolution ⚠️, this conversation uncovers why AI is the infant that could soon become our master.

🔥 Discover the truth about what’s coming

⚙️ Why we must act now to guide its growth
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Continue reading “Humanity’s Endgame? We Built an AI That Will Command Us — MO Gawdat” | >

Parkinson’s Patient Moves Freely Again After World-First Imp

Parkinson’s patient Thomas Matsson was the first in the world to receive 7 million lab-grown brain cells in 2023. Today, he can smell and play sports.

Researchers at Lund University in Sweden have successfully implanted 7 million lab-grown brain cells into a patient to treat Parkinson’s disease.

Swedish resident Thomas Matsson was the first in the world to test the method about a year ago.

Godfather of AI: How To Make Safe Superintelligent AI

The co-inventor of modern AI and the most cited living scientist believes he’s figured out how to ensure AI is honest, incapable of deception, and never goes rogue. Yoshua Bengio – Turing Award Winner and founder of LawZero – is disturbed by the many unintended drives and goals present in today’s AIs, their ability to tell when they’re being tested, and demonstrated willingness to lie. AI companies are trying to stamp these out in a ‘cat-and-mouse game’ that Yoshua fears they’re losing.

But Yoshua is optimistic: he believes the companies can win this battle decisively with a single rearrangement to how AI models are trained, and has been developing mathematical proofs to back up the claim. The core idea is that instead of training AI to predict what a human would say, or to produce responses we’d rate highly, we should train it to model what’s actually true.

Learn more & full transcript: https://80k.info/bengio.

Yoshua argues this new architecture, which he calls “Scientist AI,” is a small enough change that we could keep almost all the techniques and data we use to train frontier AIs like Claude and ChatGPT. And that the new architecture need not cost more, could be built iteratively, and might be more capable as well as more honest.

Until recently, the biggest practical objection to Scientist AI was simple: the world wants agents, and Scientist AI isn’t one. But in new research, Yoshua has extended the design and believes the same honest predictor can be turned into a capable agent without losing its \.

Wealthy Individuals Funding Science is Good for Everyone

Excellent article on the importance of private funding for cutting-edge science.

“The skepticism toward private science funding is part of a broader anti-capitalist sentiment, likely fueled by real affordability problems in housing, healthcare, and education. These concerns are understandable. But directing private capital toward fundamental science benefits everyone, and treating this the same as other uses of wealth only ensures that money flows into megayachts rather than research.”

Private wealth funded most of history’s scientific breakthroughs. Stigmatizing it now is holding us all back.

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