Results 281 to 290 of about 1,169,808 (377)

Electron Transfer‐Tailored D‐Band Center to Boost Nanozyme Catalysis for Interpretable Machine Learning‐Empowered Intelligent Biosensing

open access: yesAdvanced Science, EarlyView.
This study pioneers a rational nanozyme design strategy guided by electron transfer mechanisms while advancing biosensing paradigms through interpretable machine learning‐enhanced signal intelligence. By transforming biosensors from passive transducers to active diagnostic systems, this work establishes a versatile framework for addressing global ...
Yuechun Li   +9 more
wiley   +1 more source

Biomimetic Thermal Safety Strategies in Batteries for Electric Vehicles: from Biological Principles to Engineering Approaches

open access: yesAdvanced Science, EarlyView.
Biological principles derived from natural structures and functions inspire novel biomimetic strategies for battery thermal safety. This review summarizes applications of biomimetic concepts in preventing thermal runaway, highlighting design strategies that enhance thermal safety protection.
Weifeng Li   +7 more
wiley   +1 more source

Nanocatalytic Neuroprotection and Neurological Recovery Post‐Traumatic Brain Injury

open access: yesAdvanced Science, EarlyView.
This study demonstrates that combining Ce0.7Zr0.3O2 nanozymes with nimodipine enhances neuroprotection after traumatic brain injury. The therapy reduces oxidative stress, neuronal apoptosis, and improves blood–brain barrier integrity, with nanozymes effective at low doses.
Xinjie Hong   +10 more
wiley   +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

Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning

open access: yesAdvanced Science, EarlyView.
AMPainter is a powerful design model for ’painting’ the antimicrobial potency on any given peptide sequence, based on the strategy of virtual directed evolution and deep reinforcement learning. Abstract In the post‐antibiotic era, antimicrobial peptides (AMPs) are considered ideal drug candidates because of their lower likelihood of inducing resistance.
Ruihan Dong, Qiushi Cao, Chen Song
wiley   +1 more source

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