Imagine that doctors could precisely print miniature capsules capable of delivering cells needed for tissue repair exactly where they are needed inside a beating heart.
A team of scientists led by Caltech has taken a significant step toward that ultimate goal, having developed a method for 3D-printing polymers at specific locations deep within living animals. The technique relies on sound for localization and has already been used to print polymer capsules for selective drug delivery as well as glue-like polymers to seal internal wounds.
Previously, scientists have used infrared light to trigger polymerization, the linking of the basic units, or monomers, of polymers within living animals.
Dental caries (tooth decay) is a common oral health condition that often causes significant pain and discomfort and may even lead to tooth loss. In severe and untreated cases, bacterial infection combined with the host’s immune response can cause bone resorption, or the breakdown of bone tissue in the tooth root. Moreover, traditional treatments for advanced dental caries, such as surgery, can result in bone defects that require complex bone grafting procedures.
Building on this knowledge, bone tissue engineering and dental tissue regeneration have gained the attention of researchers worldwide. Recent reports suggest that microRNAs (miRNAs)—small, non-coding ribonucleic acid sequences—play a key role in bone tissue regeneration. However, the underlying mechanisms and pathways regulated by miRNAs remain unclear.
To investigate the intrinsic processes involved in dental bone repair, a team of researchers led by Associate Professor Nobuyuki Kawashima, graduate student Ziniu Yu, and Professor Takashi Okiji from the Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Japan, has conducted a series of innovative experiments using human dental pulp stem cells (hDPSCs) and mice.
Meridian Magazine positions itself as a publication for members of The Church of Jesus Christ of Latter-day Saints, the largest Mormon denomination. I don’t know much about Meridian or the people behind it. But today I learned that they’re willing to publish a fear-mongering distortion of Transhumanism, “Human 2.0 Is Here — And You Didn’t Even Notice” by Alexis Tarkaleson. Despite their positioning, I wish to make make clear that such behavior is not aligned with the values that the Church advocates.
Tarkaleson says “mind uploading” is an outlandish tale. What’s her take on tales of transfiguration and resurrection? Are those equally outlandish? Surely she’s aware that those doctrines require the possibility of mind (or spirit body) moving from one physical body to another, consistent with hypotheses of mind uploading.
How about cryonics, yet another outlandish tale she identifies? I’m curious to know what she thinks about the Church’s advocacy to collect genealogy and preserve family history, with intent to facilitate redemption of the dead. And what about proxy rituals that we perform for the dead? Most of the world probably thinks the Church’s practices in these areas are at least as outlandish as those of cryonicists.
Groundbreaking research has revealed a new method of potentially eliminating hard-to-treat post-traumatic stress disorder (PTSD) diagnoses in patients by employing a novel kind of therapy: stimulation of the vagus nerve.
The new treatment offers new hope for those long afflicted by PTSD diagnoses that have traditionally proven to be resistant to conventional treatment methods.
Scientists from the University of Texas at Dallas (UTD) and Baylor University Medical Center conducted the research, discovering that participants were symptom-free for up to six months after completing the experimental therapy.
What happens when AI starts improving itself without human input? Self-improving AI agents are evolving faster than anyone predicted—rewriting their own code, learning from mistakes, and inching closer to surpassing giants like OpenAI. This isn’t science fiction; it’s the AI singularity’s opening act, and the stakes couldn’t be higher.
How do self-improving agents work? Unlike static models such as GPT-4, these systems use recursive self-improvement—analyzing their flaws, generating smarter algorithms, and iterating endlessly. Projects like AutoGPT and BabyAGI already demonstrate eerie autonomy, from debugging code to launching micro-businesses. We’ll dissect their architecture and compare them to OpenAI’s human-dependent models. Spoiler: The gap is narrowing fast.
Why is OpenAI sweating? While OpenAI focuses on safety and scalability, self-improving agents prioritize raw, exponential growth. Imagine an AI that optimizes itself 24/7, mastering quantum computing over a weekend or cracking protein folding in hours. But there’s a dark side: no “off switch,” biased self-modifications, and the risk of uncontrolled superintelligence.
Who will dominate the AI race? We’ll explore leaked research, ethical debates, and the critical question: Can OpenAI’s cautious approach outpace agents that learn to outthink their creators? Like, subscribe, and hit the bell—the future of AI is rewriting itself.
Can self-improving AI surpass OpenAI? What are autonomous AI agents? How dangerous is recursive AI? Will AI become uncontrollable? Can we stop self-improving AI? This video exposes the truth. Watch now—before the machines outpace us.
Summary: New research reveals a striking gap between people’s theoretical desire to know their Alzheimer’s disease risk and their real-life decisions when results are actually offered. In a study of cognitively normal volunteers, only 60% chose to learn their estimated risk when given the chance, despite 81% expressing prior interest.
A selfie can be used as a tool to help doctors determine a patient’s “biological age” and judge how well they may respond to cancer treatment, a new study suggests.
Because humans age at “different rates” their physical appearance may help give insights into their so-called “biological age” – how old a person is physiologically, academics said.
The new FaceAge AI tool can estimate a person’s biological age, as opposed to their actual age, by scanning an image of their face, a new study found.
