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In a trailblazing advancement in cancer therapy, researchers at Korea Advanced Institute of Science and Technology (KAIST) have developed a technology that transforms colon cancer cells into normal-like cells without destroying them.

This innovative approach, led by Professor Kwang-Hyun Cho of the Department of Bio and Brain Engineering, represents a significant departure from traditional cancer treatments that rely on killing cancer cells, often leading to severe side effects and risks of recurrence.

An expanded clinical trial that tested a groundbreaking, experimental stem cell treatment for blinding cornea injuries found the treatment was feasible and safe in 14 patients who were treated and followed for 18 months. In addition, there was a high proportion of complete or partial success.

The study developed a two-stage manufacturing process utilizing cultivated autologous limbal epithelial cells (CALEC), the first xenobiotic-free, serum-free, antibiotic-free protocol developed in the United States to treat blindness caused by unilateral limbal stem cell deficiency (LSCD).

The procedure consists of removing stem cells from a healthy eye with a biopsy, expanding them into a cellular tissue graft in a novel manufacturing process that takes two to three weeks, and then surgically transplanting the graft into the eye with a damaged cornea.

The AI revolution is happening faster than experts ever predicted — and we’ve hit the turning point.

The long-debated arrival of artificial general intelligence (AGI) may be closer than we think, with some experts suggesting we could reach the technological singularity within the next year.

A new analysis of nearly 8,600 expert predictions reveals shifting timelines, particularly since the rise of large language models (LLMs) like ChatGPT. While previous estimates placed AGI’s emergence around 2060, recent advancements have led many to revise their forecasts to as early as 2030.

Some industry leaders, however, believe AGI’s arrival is imminent, and with the rapid progression of computing power and potential breakthroughs in quantum computing, we may soon see machines capable of surpassing human intelligence.

While his neighbors frantically fled from their oncoming doom, one man stayed in bed. For whatever reason, he didn’t join the other 2000 residents of Herculaneum—the ancient Roman city just north of Pompeii—as they ran from erupting Mount Vesuvius. The first scorching cloud of ash passed through the city so quickly, it turned his brain into black, glasslike shards. Now, a new analysis of these shards, published today in, offers clues about how the man and his neighbors perished in 79 C.E.

Until recently, scientists believed the people of Herculaneum were annihilated by Mount Vesuvius’s avalanche of hot rock, ash, and gas that buried their city, along with Pompeii. But when researchers announced the discovery of those black, glossy chips in 2020, a new culprit emerged: a swift ash cloud preceding this flood of debris. This rethink, however, hinged on whether the brain had indeed turned to glass.

For glass to form, a liquid needs to be cooled so rapidly that its molecules suddenly “freeze” into a rigid structure rather than forming crystals. For this reason, glass is sometimes referred to as a “liquid solid,” says Brian Wowk, a cryobiologist at 21st Century Medicine who was not involved with the work. Thick blankets of pyroclastic flow–the torrent of rocks, ash, and gas expelled by volcanos–cool off far too slowly for glass to form, says study co-author Guido Giordano, a volcanologist at the Roma Tre University. “Once they’re in place, they can take years to cool down.”

New radio telescopes like ASKAP and MeerKAT are unveiling a ‘low surface brightness Universe’, enhancing our understanding of its hidden features.


Radio astronomers see what the naked eye can’t. As we study the sky with telescopes that record radio signals rather than light, we end up seeing a lot of circles.

The newest generation of radio telescopes – including the Australian Square Kilometre Array Pathfinder (ASKAP) and MeerKAT, a telescope in South Africa – is revealing incredibly faint cosmic objects, never before seen.

In astronomy, surface brightness is a measure that tells us how easily visible an object is. The extraordinary sensitivity of MeerKAT and ASKAP is now revealing a new “low surface brightness universe” to radio astronomers.

Experts say the creature looks just like a floating buttocks.

Deep beneath the ocean’s surface, in the Midnight Zone where no sunlight reaches, scientists have discovered a peculiar creature.

Known as the pigbutt worm, Chaetopterus pugaporcinus was first spotted in 2001 off the coast of California. This translucent, marble-sized blob immediately baffled researchers.

Its rounded shape and distinctive lobes earned it the humorous nickname, as it amusingly resembles a pig’s behind. Marine biologists have since identified it as a type of bristle worm, though its exact life stage—whether adult or larval—remains uncertain. Unlike most of its relatives, which burrow into the seafloor, this worm floats freely in the water column, showcasing an unusual adaptation known as neoteny, where juvenile traits persist into adulthood.

Beyond its quirky appearance, the pigbutt worm possesses remarkable survival skills. Scientists have observed it generating mucus nets to trap marine snow and organic debris for sustenance. Even more astonishingly, it glows in the dark—flashing blue bioluminescence when disturbed, while its mucus net sometimes emits green light, likely as a defense mechanism against predators.

OpenAI is betting big on ChatGPT, which is generating at least $4 billion in annualized revenue. But that’s not the only application the AI firm is hoping will make big bucks. If you saw our story last month detailing OpenAI’s financial projections, you might have noticed an intriguing reference…

The hippocampus is essential for episodic memory, yet its coding mechanism remains debated. In humans, two main theories have been proposed: one suggests that concept neurons represent specific elements of an episode, while another posits a conjunctive code, where index neurons code the entire episode. Here, we integrate new findings of index neurons in humans and other animals with the concept-specific memory framework, proposing that concept neurons evolve from index neurons through overlapping memories. This process is supported by engram literature, which posits that neurons are allocated to a memory trace based on excitability and that reactivation induces excitability. By integrating these insights, we connect two historically disparate fields of neuroscience: engram research and human single neuron episodic memory research.