Results 221 to 230 of about 7,605,221 (315)
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Editorial: Breakthroughs in Cryo-EM with machine learning and artificial intelligence. [PDF]
Eng ET, Hanson SM, Sanchez-Garcia R.
europepmc +1 more source
Droplet Digital CRISPR for Nucleic Acid Detection
This review outlines recent advances in droplet digital CRISPR technology for nucleic acid detection, combining CRISPR specificity with droplet digital‐based absolute quantification. It summarizes core principles, amplification‐assisted and amplification‐free strategies, and representative DNA and RNA biomarker applications.
Yang Zhang +4 more
wiley +1 more source
Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie +9 more
wiley +1 more source
The Software CmapTools—IHMC and Microbiology: a Bridge to Meaningful Learning? [PDF]
europepmc +1 more source
The MR‐DELTAnet model utilizes longitudinal MRI to predict treatment response after neoadjuvant chemoradiotherapy in locally rectal cancer patients, accurately identifying patients likely to achieve pathological complete response for personalized management.
Wuteng Cao +14 more
wiley +1 more source
Correction to: Learning meaningful representation of single-neuron morphology via large-scale pre-training. [PDF]
europepmc +1 more source
Dystrophin rescue in the brain for DMD. [PDF]
Li M, Han R.
europepmc +1 more source
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee +17 more
wiley +1 more source

