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The Radcliffe Wave, a 9,000 light-year-long structure, is oscillating through the Milky Way.

The Milky Way galaxy is far from static. One striking example of its dynamic nature is the discovery of the Radcliffe Wave, a massive, 9,000 light-year-long structure made of star-forming gas. Located just 500 light-years from the Solar System at its nearest point, the Radcliffe Wave was first identified in 2018 using data from the Gaia spacecraft, with findings published in 2020. But recent research has unveiled something even more intriguing: this enormous structure is not just moving in its orbit around the galactic center, it’s also oscillating like a wave.

In this episode of the Longevity Optimization Podcast, Dr. DeGray discusses groundbreaking research in aging and longevity, focusing on combination therapies, the hallmarks of aging, and the potential of stem cell and gene therapies. He emphasizes the importance of rejuvenation over merely slowing aging and explores the role of the immune system in health. The conversation also touches on biological age testing, lifestyle factors, and the future of gene therapy in enhancing longevity.

Aubrey de Grey is a British biomedical gerontologist and the founder of the SENS Research Foundation. He is a leading advocate for regenerative medicine, focusing on reversing the effects of aging by repairing cellular damage. Known for his bold vision of life extension, de Grey believes that with advanced therapies, humans could significantly extend their lifespan. He is the co-author of Ending Aging, and his work continues to shape the future of longevity science.

Takeaways.

Combination therapies are crucial for understanding aging.

Newly published research from Colorado State University answers fundamental questions about cellular connectivity in the brain that could be useful in the development of treatments for neurological diseases like autism, epilepsy or schizophrenia.

Absorption of light initiates many natural and artificial chemical processes, for example, photosynthesis in plants, human vision, or even 3D printing. Until now, it seemed impossible to control a light-driven chemical reaction at the atomic scale, where only a specific part of one molecule is addressed.

Imagine a tiny, soft robot that could change the way medicine is delivered to targeted areas in the body.


A team of scientists at NTU has developed grain-sized soft robots that can be controlled using magnetic fields for targeted drug delivery, paving the way to possible improved therapies in future.

The new soft robot developed by engineers at NTU’s School of Mechanical and Aerospace Engineering (MAE) was reported in a paper published in the journal Advanced Materials.

Virtual worlds, ChatGPT, and AI seem to be all the rage in 2024, with all sorts of developments shaking up not just the technology space, but having wider implications for medicine, politics, and even the judicial system. Now, researchers from Swiss startup FinalSpark have combined a virtual world with tiny human mini brains and built a two-way con…

Professor Michael Levin explores the revolutionary concept of diverse intelligence, demonstrating how cognitive capabilities extend far beyond traditional brain-based intelligence. Drawing from his groundbreaking research, he explains how even simple biological systems like gene regulatory networks exhibit learning, memory, and problem-solving abilities. Levin introduces key concepts like “cognitive light cones” — the scope of goals a system can pursue — and shows how these ideas are transforming our approach to cancer treatment and biological engineering.

Brush up on your physics knowledge with Brilliant! First 30 days are free and 20% off the annual premium subscription when you use our link ➜ https://brilliant.org/sabine.

Mathematician and Computer Scientist Stephen Wolfram wants to do no less than revolutionising physics. He wants to do it with computer code that gives rise to all the fundamental laws of nature that we know and like — and maybe more. Unfortunately, Einstein’s theories of general relativity inherently clash with how computers work. And yet, he and his team might have found a clever way around this problem.

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