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A research team headed by the University of Zurich has developed a powerful new method to precisely edit DNA by combining cutting-edge genetic engineering with artificial intelligence. This technique opens the door to more accurate modeling of human diseases and lays the groundwork for next-generation gene therapies.

Precise and targeted DNA editing by small point mutations as well as the integration of whole genes via CRISPR/Cas technology has great potential for applications in biotechnology and gene therapy. However, it is very important that the so-called gene scissors do not cause any unintended genetic changes, but maintain genomic integrity to avoid unintended side effects. Normally, double-stranded breaks in the DNA molecule are accurately repaired in humans and other organisms. But occasionally, this DNA end joining repair results in genetic errors.

Gene editing with greatly improved precision Now, scientists from the University of Zurich (UZH), Ghent University in Belgium and the ETH Zurich have developed a new method which greatly improves the precision of genome editing. Using artificial intelligence (AI), the tool called Pythia predicts how cells repair their DNA after it is cut by gene editing tools such as CRISPR/Cas9. “Our team developed tiny DNA repair templates, which act like molecular glue and guide the cell to make precise genetic changes,” says lead author Thomas Naert, who pioneered the technology at UZH and is currently a postdoc at Ghent University.


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This “smart coach” helps LLMs switch between text and code

Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical answer about its contents. But these same LLMs often struggle to correctly answer even the simplest math problems.

Textual reasoning is usually a less-than-ideal way to deliberate over computational or algorithmic tasks. While some LLMs can generate code like Python to handle symbolic queries, the models don’t always know when to use code, or what kind of code would work best.

LLMs, it seems, may need a coach to steer them toward the best technique.

Enter CodeSteer, a smart assistant developed by MIT researchers that guides an LLM to switch between code and text generation until it correctly answers a query. (Strangely like a text editor “CodeSteer”🤔)


CodeSteer is a smart assistant from MIT that automatically guides large language models to switch between generating text and code, and to refine its response, until it answers a query correctly.

Dark Matter: A Parallel Universe? New Breakthrough Explained! | WION Podcast

A groundbreaking new study suggests that dark matter, one of the universe’s biggest mysteries, could be the result of a parallel universe. Researchers argue that the unseen, gravitationally interacting matter might be the interaction between our universe and another, previously undetected one. The study explores how this hypothesis could explain the effects of dark matter that have been observed in galaxies and cosmic structures. The idea challenges the current understanding of physics and opens new avenues for research into the nature of reality. This revelation could transform our approach to cosmology, potentially leading to a deeper understanding of the universe and its fundamental forces. The implications of such a discovery could revolutionize how we perceive space, time, and matter.

#science #space #wionpodcast.

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New Observations Fit Neatly With String Theory, Physicists Find

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According to a growing body of data, dark energy is not constant. Instead, physicists claim, it’s slowly getting weaker. This has understandably shaken our understanding of the universe – this week, physicists show that the new data is compatible with string theory, and that the universe will eventually collapse. Let’s take a look.

Paper: https://arxiv.org/abs/2506.

This video comes with a quiz which you can take here: https://quizwithit.com/start_thequiz/.… Check out my new quiz app ➜ http://quizwithit.com/ 📚 Buy my book ➜ https://amzn.to/3HSAWJW 💌 Support me on Donorbox ➜ https://donorbox.org/swtg 📝 Transcripts and written news on Substack ➜ https://sciencewtg.substack.com/ 👉 Transcript with links to references on Patreon ➜ / sabine 📩 Free weekly science newsletter ➜ https://sabinehossenfelder.com/newsle… 👂 Audio only podcast ➜ https://open.spotify.com/show/0MkNfXl… 🔗 Join this channel to get access to perks ➜ / @sabinehossenfelder #science #sciencenews #physics #stringtheory.

🤓 Check out my new quiz app ➜ http://quizwithit.com/
📚 Buy my book ➜ https://amzn.to/3HSAWJW
💌 Support me on Donorbox ➜ https://donorbox.org/swtg.
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👉 Transcript with links to references on Patreon ➜ / sabine.
📩 Free weekly science newsletter ➜ https://sabinehossenfelder.com/newsle
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🔗 Join this channel to get access to perks ➜
/ @sabinehossenfelder.

#science #sciencenews #physics #stringtheory

Ablative and Immunostimulatory Effects of Histotripsy Ablation in a Murine Osteosarcoma Model

Background: Osteosarcoma (OS) is the most frequently occurring malignant bone tumor in humans, primarily affecting children and adolescents. Significant advancements in treatment options for OS have not occurred in the last several decades, and the prognosis remains grim with only a 70% rate of 5-year survival. The objective of this study was to investigate the focused ultrasound technique of histotripsy as a novel, noninvasive treatment option for OS. Methods: We utilized a heterotopic OS murine model to establish the feasibility of ablating OS tumors with histotripsy in a preclinical setting. We investigated the local immune response within the tumor microenvironment (TME) via immune cell phenotyping and gene expression analysis.

Allie, an AI chess bot, learns to play like humans from 91 million Lichess games

Yiming Zhang didn’t grow up playing chess. Like many other people, the Carnegie Mellon University Ph.D. student discovered the Netflix series “The Queen’s Gambit” during the pandemic and began playing online. However, he quickly realized how unnatural it felt playing against chess bots.

“After I learned the rules, I was in the bottom 10%, maybe 20% of players online,” said Zhang, who is part of the Language Technologies Institute (LTI) in CMU’s School of Computer Science. “For beginners, it’s not interesting or instructive to play against chess bots because the moves they make are often bizarre and incomprehensible to humans.”

Zhang’s frustration led him to develop Allie, a chess bot powered by that demonstrates the benefits of AI tools that think like humans. He believes training future AI systems to ponder and deliberate on could create better agents for use in therapy, education and medicine.

Attempting To Slow Aging By Optimizing Biomarkers

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