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
Stroke Deaths Profile and Its Subtypes in Brazil: Analysis Using Machine Learning. [PDF]
de Souza ARM +3 more
europepmc +1 more source
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
Explainable Reinforcement Learning for the Initial Design Optimization of Compressors Inspired by the Black-Winged Kite. [PDF]
Zhang M, Miao Z, Nan X, Ma N, Liu R.
europepmc +1 more source
Nanocatalytic Neuroprotection and Neurological Recovery Post‐Traumatic Brain Injury
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
University english teaching evaluation using artificial intelligence and data mining technology. [PDF]
Huang Q +4 more
europepmc +1 more source
Human Brain Cell‐Type‐Specific Aging Clocks Based on Single‐Nuclei Transcriptomics
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
Assessment of unconfined compressive strength of nano-doped fly ash-treated clayey soil using machine learning tools. [PDF]
Kumar A, Sinha S, Pradhananga R.
europepmc +1 more source
Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning
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
Estimation of sexual dimorphism of adult human mandibles of South Indian origin using non-metric parameters and machine learning classification algorithms. [PDF]
Corda JV +8 more
europepmc +1 more source

