Results 171 to 180 of about 5,879,357 (336)

Photoacoustic Microscopy for Multiscale Biological System Visualization and Clinical Translation

open access: yesAdvanced Science, EarlyView.
Photoacoustic microscopy (PAM) is a powerful biomedical imaging tool renowned for its non‐invasiveness and high resolution. This review synthesizes recent technological advances and highlights their broad applications from cellular and organ‐level to whole‐animal imaging.
Tingting Wang   +3 more
wiley   +1 more source

Generalizable morphological profiling of cells by interpretable unsupervised learning. [PDF]

open access: yesNat Commun
Murthy RS   +5 more
europepmc   +1 more source

Spending pattern visualization using unsupervised machine learning

open access: gold, 2023
Gabriel Porto Oliveira   +2 more
openalex   +2 more sources

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

open access: yesAdvanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou   +4 more
wiley   +1 more source

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

open access: yesAdvanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin   +16 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

Leveraging productivity indicators for anomaly detection in swine breeding herds with unsupervised learning. [PDF]

open access: yesFront Vet Sci
Pedro Mil-Homens M   +6 more
europepmc   +1 more source

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