Results 211 to 220 of about 249,007 (264)

Multicohort Validation of Gut Microbiome Signatures for Cholangiocarcinoma Diagnosis and Functional Characterization of Bifidobacterium Pseudocatenulatum

open access: yesAdvanced Science, EarlyView.
This study analyzes gut bacteria in cholangiocarcinoma patients, revealing distinct microbial signatures that enable accurate disease detection. Species‐based diagnostic models achieved over 98% accuracy in identifying cholangiocarcinoma and distinguished it from other liver diseases. The research demonstrates that specific beneficial bacteria suppress
Benchen Rao   +18 more
wiley   +1 more source

NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction

open access: yesAdvanced Science, EarlyView.
Chromatin loops are central to gene regulation and 3D genome organization. Leveraging Nanopore sequencing's ability to jointly capture DNA sequence and methylation, we present NanoLoop, the first framework for genome‐wide chromatin loop prediction using Nanopore data.
Wenjie Huang   +5 more
wiley   +1 more source

Discovery of an Adaptive Neuroimmune Response Driving Itch and Fast Tick Removal with Implications for Preventing Pathogen Transmission

open access: yesAdvanced Science, EarlyView.
Itch‐induced tick removal (IITR): An acquired neuroimmune mechanism, itch‐induced tick removal, develops after repeated tick exposure, mobilizing T cells and macrophages at the tick bite site to trigger a rapid scratching response that facilitates timely tick removal within a critical window that preces the transmission of many tick‐borne pathogens ...
Johannes S. P. Doehl   +27 more
wiley   +1 more source

Learning Continuous Decomposable Models Using Mutual Information and Statistical Copulas. [PDF]

open access: yesEntropy (Basel)
Desuó Neto L   +3 more
europepmc   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

open access: yesAdvanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu   +9 more
wiley   +1 more source

Displacive In‐Plane Ferroelectricity with Domain‐Specific Curie Temperature in Van der Waals Semiconductors

open access: yesAdvanced Science, EarlyView.
Temperature‐dependent electron diffraction on tin monochalcogenides demonstrates a gradual displacive transformation between ferroelectric and paraelectric phases with significant variability in lattice constants and Curie temperature (TC). Periodic variations exist even between domains in individual crystals, implying a domain‐specific Curie ...
Peter Sutter, Eli Sutter
wiley   +1 more source

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