Results 171 to 180 of about 202,193 (268)

Integrated Ultrasound Device for Precision Bladder Volume Monitoring via Acoustic Focusing and Machine Learning

open access: yesAdvanced Science, EarlyView.
We present a conformable wearable ultrasound patch for noninvasive bladder volume monitoring. A flexible PZT array combined with a concave acoustic lens concentrates acoustic energy and improves depth selectivity through the anterior pelvic wall.
Long Long Cao   +4 more
wiley   +1 more source

Phosphatidic Acid‐TRIM59‐Olig2 Signaling Couples Metabolic Dysfunction to Myelination Failure in PWMI

open access: yesAdvanced Science, EarlyView.
PA accumulates after hypoxic‐ischemic injury and stabilizes the E3 ligase TRIM59 in OPCs. Stabilized TRIM59 enhances ubiquitination and degradation of Olig2, blocking differentiation and causing hypomyelination in PWMI. Modulating PA synthesis restores Olig2 levels, improves myelination, and ameliorates behavioral deficits, defining a metabolically ...
Xinyu Li   +8 more
wiley   +1 more source

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

open access: yesAdvanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi   +4 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

open access: yesAdvanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li   +7 more
wiley   +1 more source

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