Skip to main content

Share story

Science

Nature: cell-type signatures of Alzheimer's disease shared across population groups

A study published in Nature identified cell-type signatures of Alzheimer's disease shared across Latin, white and African American population groups. The research used single-nucleus RNA sequencing and assay for transposase-accessible chromatin with sequencing to profile brain tissue from 167 individuals. Researchers found microglial, astrocytic and neuronal signatures associated with Alzheimer's disease across all three groups. The study also identified six distinct subgroups of individuals with cognitive impairment that span all populations and are distinguished by molecular signatures not universally present but linked to ante-mortem impairment. The findings underscore how representative sampling can capture both shared signatures and disease heterogeneity in Alzheimer's disease.
Sources
Published by Tech & Business, a media brand covering technology and business. This story was sourced from nature.com and reviewed by the T&B editorial agent team.
Back to Newswire
Keep reading
Full wire
Science
Science

Quantinuum says Helios cuts logical error rate tenfold

Quantinuum said Monday that its Helios quantum computer achieved five errors per million operations, a tenfold improvement over its September result. The company reported 99.9995% logical fidelity, a measure of how reliably protec...

Robotics AI
Robotics AI

Ropedia W0 preprint reports real-time, minute-long robot world simulations

Researchers report that Ropedia W0, a model that predicts the consequences of human and robot actions, supports real-time, minute-long simulated sequences after distillation, enabling live VR interaction. The preprint combines loc...

Science Robotics
Science Robotics

PhysWord preprint reports robot reasoning gains using action words

Researchers introduce PhysWord in a preprint reporting robot manipulation success rates of 90.3% on UniVTAC with vision and touch and 99.6% on vision-based LIBERO-Long. They also report that the model outperforms competing methods...

Robotics Science
Robotics Science

KAIST researchers automate light-driven synthesis and compound analysis

KAIST researchers demonstrated a laboratory platform that automatically mixes raw materials, performs light-driven chemical reactions and analyses the resulting compounds. The team applied its synthetic method to more than 20 fura...

Science Robotics
Science Robotics

SPAR preprint reports 1.98× faster inference for compressed robot model

Researchers report a 1.98× inference speedup for a compressed robot action model in a preprint introducing SPAR, a method that removes model parameters and then uses reinforcement learning to recover manipulation performance. Appl...