DSTYK amplification enables lung cancer cells to evade T cell killing by sustaining ULK1-dependent suppression of TNF-α-induced apoptosis. Targeting ULK1 dismantles this survival pathway, restoring RIPK1-mediated cell death and sensitizing DSTYK-altered tumors to chemo-immunotherapy, revealing a promising therapeutic vulnerability in NSCLC.
Proton beam therapy continues to generate significant interest — and controversy — in prostate cancer. About 45 cancer centers in the US offer proton therapy to treat a variety of cancers, including prostate cancer.
The technology, however, faces ongoing debate about its role in prostate cancer. Despite the buzz, there is no randomized evidence demonstrating that proton therapy is superior to the current standard of care: intensity-modulated radiation therapy (IMRT). The core question has become: Is proton therapy for prostate cancer worth it?
Does the evidence line up with the buzz surrounding the use of proton therapy to treat prostate cancer?
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Don’t listen to TLC. When it comes to error correction, in fact, do go chasing waterfalls.
A new study shows that artificial intelligence can unlock a “waterfall” effect in error correction, sharply reducing error rates and processing time.
Researchers from Harvard University reported in the pre-print server arXiv that they developed a neural-network-based decoder that outperforms existing methods by wide margins, while revealing a previously hidden regime of error suppression that challenges long-standing assumptions about how quantum systems scale.
What if creativity wasn’t magic—but math?
In this video, we explore the mathematics of creativity through psychology, philosophy, and science. From Dean Keith Simonton’s law of large numbers, Margaret Boden’s theory of combinational creativity, Zipf’s Law, Malcolm Gladwell’s 10,000-hour curve, and even cellular automata—we break down how imagination follows hidden equations.
Whether you’re a student, teacher, scientist, engineer, or philosopher, this video will change how you think about art, science, and human innovation.
Chapters:
00:00 – Intro: Is Creativity Random?
00:34 – The Law of Large Numbers
01:42 – Zipf’s Law of Ideas
02:33 – Combinational Creativity (Boden)
03:15 – Time & Growth (Gladwell)
03:58 – Edge of Chaos (Complexity Theory)
04:48 – The Formula for Creativity.
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