Results 131 to 140 of about 98,362 (265)

Identifying Tipping Points during Healthy Brain Aging through Single‐Nucleus Transcriptomic Analysis

open access: yesAdvanced Science, EarlyView.
This study applies single‐nucleus transcriptomics and systems dynamics to uncover nonlinear aging patterns in healthy human brains. By introducing dynamic network biomarker theory, the authors identify a critical tipping point at ages 56–60 during aging, and highlight glial instability as a key mediator.
Peiru Wu   +9 more
wiley   +1 more source

Data-Driven Subtypes of Parkinson Disease Based on Dopamine Responsiveness. [PDF]

open access: yesCNS Neurosci Ther
Wang JY   +14 more
europepmc   +1 more source

Human Brain Cell‐Type‐Specific Aging Clocks Based on Single‐Nuclei Transcriptomics

open access: yesAdvanced Science, EarlyView.
Muralidharan and colleagues develop cell‐type‐specific transcriptomic aging clocks using single‐nucleus RNA sequencing of human post mortem prefrontal cortex samples. These clocks accurately predict age and identify distinct aging trajectories in specific brain cell types.
Chandramouli Muralidharan   +12 more
wiley   +1 more source

Effect of levodopa on interleukin‐15 and RANTES circulating levels in patients affected by Parkinson′s disease [PDF]

open access: gold, 2003
Sebastiano Gangemi   +7 more
openalex   +1 more source

Bioinspired Intelligent Soft Robotics: From Multidisciplinary Integration to Next‐Generation Intelligence

open access: yesAdvanced Science, EarlyView.
Soft robotics, featuring intrinsic compliance and biomimetic adaptability, emerges as transformative in next‐generation intelligent systems. This review outlines how advancements in four foundational domains—actuation, materials, manufacturing, and control—drive the evolution of bioinspired intelligent soft robotics, poised to redefine the boundaries ...
Xiaopeng Wang   +7 more
wiley   +1 more source

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