Discover how a CHEST Research Grant allowed Jun-Chieh James Tsay, MD, to advance understanding of the lung microbiome and its potential role in lung cancer development and treatment.
Get the latest international news and world events from around the world.
Gene editing tool reduces Huntington’s toxic protein fragments and symptoms in mice
A gene-editing tool designed to precisely rewrite the gene that causes Huntington’s disease reduced toxic protein fragments and symptoms associated with the disease in mice, researchers at the University of Illinois Urbana-Champaign report.
While other gene-based treatments have focused on turning the gene off, the Illinois team took a different approach. The researchers designed a base-editing tool to alter a specific point in the huntingtin gene so the cell’s machinery would skip over a small section prone to generating toxic fragments while preserving enough huntingtin protein to support its normal functions.
Led by Pablo Perez-Pinera and Thomas Gaj, professors of bioengineering at the U. of I., the researchers published their findings in the journal Nature Biomedical Engineering.
A skill becomes automatic as the brain rewires itself to bypass its own bottleneck, new study suggests
Riding a bike, reading a book or folding laundry while watching TV can feel effortless, almost like your brain does it on autopilot. This ease comes from repetition, built through practicing the same task again and again. The prefrontal cortex (PFC), responsible for flexible thinking and decision-making, plays a role in this process, but it also creates a bottleneck. Although highly flexible, it can generally handle only one decision at a time, making multitasking difficult.
In a recent study, researchers wanted to understand how the brain changes when a person practices a specific task until it reaches cognitive automaticity. In this state, familiar actions can be performed quickly and efficiently with little conscious effort.
After sorting morphed car images more than 30,000 times, participants didn’t just get better at the task. Their brains rewired themselves, shifting the work from slow, deliberate thinking to fast, effortless autopilot.
Game-engine forests train drone AI to count trees with far less labeling
A drone swoops low over an alpine forest. It climbs suddenly to follow the contours of the sharply rising landscape. Pulses from its lidar—a laser mapping instrument—rapidly scan the trees below.
The forest, however, isn’t real. In fact, the entire landscape is a synthetic rendering created by University of Cambridge researchers to teach algorithms how to see trees.
The ability to recognize an individual tree in the forest canopy is essential for calculating how forests grow, how they respond to climate change and how much carbon they store. Until now, researchers developing forest vision systems would painstakingly trace the outlines of thousands of trees to provide the system with sufficient training data, a process that can take weeks.
Genetic deletions may help explain differences in schizophrenia severity
Schizophrenia affects approximately 23 million people worldwide, with onset usually occurring during a person’s late adolescence or 20s. Impairments associated with schizophrenia include hallucinations, delusions, and disorganized thinking and behavior.
Now, researchers at the University of Washington are investigating how genetic changes affect the severity of schizophrenia symptoms. A new study, published in the American Journal of Psychiatry, supports the idea that deletions in genes that regulate early brain and neuron development are associated with more severe features of schizophrenia spectrum disorders, particularly lower cognitive abilities.
Gastrointestinal symptoms correlate with core clinical features and systemic inflammation in myalgic encephalomyelitis/chronic fatigue syndrome
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating multisystem illness marked by fatigue, cognitive impairment, and post-exertional malaise. Gastrointestinal (GI) symptoms are frequently reported, yet their relationship to central features of the illness and biological correlates remains poorly understood.
We aimed to characterize GI symptom burden in ME/CFS and evaluate its associations with core clinical features and specific immune and inflammatory markers, with attention to potential gut-related contributions to disease expression.
GI symptoms and 49 additional symptoms across nine domains were assessed in 116 ME/CFS patients and 80 matched controls. Plasma C-reactive protein (CRP) and antibodies against dietary and microbial antigens were measured as indicators of systemic inflammation and putative gut-derived antigen exposure.
Defining Endogenous DMT Brain Biotypes: A Multi-Modal Neuroimaging Study
Could Your Brain Have Its Own “DMT Signature”? A New Research Proposal Aims to Find Out.
A new neuroscience research proposal is exploring a fascinating question: Do people naturally differ in their levels or activity of endogenous DMT, and could those differences be reflected in distinct brain “biotypes”?
Rather than administering DMT, the researchers propose analyzing an existing dataset of approximately 1,100 participants using multiple complementary measures, including:
PET imaging to examine serotonin receptor systems.
Structural and functional MRI to assess brain anatomy and connectivity.
Diffusion MRI to evaluate white matter microstructure.
Blood biomarkers.
Elon Musk updates the SpaceX timeline for Mars
Elon Musk has updated his timeline for when humans will walk on Mars and for when ships will simply get there.
The objective of getting to Mars has been one of Musk’s biggest goals since becoming a serial entrepreneur and realizing that time on Earth is limited. Musk has said several times he hopes to die on Mars, and not by impact.
Musk now believes that people will be on Mars in “roughly 5 to 7 years.” He said that a Mars lander will get there “a few years sooner.”
Dream-Cubed Controllable Generative Modeling in Minecraft by Training on Billions of Cubes
When fresh data isn’t available, developers usually turn to “derived” data—either recycling the same text over multiple training rounds (multi-epoch repetition) or rewording it using AI (paraphrasing). To measure how well this works, the researchers introduced a concept called token effectiveness ($\eta$). Think of it as a value score: a completely fresh, original word gets a 1.0, while a repeated or reworded token might score lower depending on how useful it remains to the model.
We introduce, a new large-scale dataset and family of generative models for generating Minecraft worlds at block resolution. Our data comprises billions of high-quality and carefully-balanced cubes from procedurally generated Minecraft terrain and human-authored maps, which we use to study discrete and continuous 3D diffusion models for biome-conditioned chunk generation. When trained with our data, we show that both approaches can generate high-fidelity chunks of the game world, and that the discrete masked diffusion formulation gives us inpainting, outpaining, and user-defined block conditioned generation as a free byproduct of the training objective. This enables players and creators to mold the world around them by generating structures, terrain, and maps that are immediately editable and playable.
Why Minecraft?
Generative AI has made incredible progress in the fields of image, video, and text generation. Despite success in these modalities, the interactive 3D worlds of video games have received much less research attention. We aim to close this gap by releasing a dataset based on one of the most successful and popular video games, Minecraft.