Representation learning of Whole slide image (WSI) is fundamental to computational pathology, enabling tasks such as tumor subtyping, survival prediction, and cancer grading. Existing methods typically tile WSIs into thousands of small patches and ag... read more
Journal of hand surgery global online
Mar 31, 2026
PURPOSE: This study examines the efficiency and proof-of-concept use of a generative artificial intelligence (AI) documentation prototype, evaluating whether it can produce usable notes and estimating its potential time advantage compared with physic... read more
Accurate, non-invasive liver fibrosis detection is essential for chronic liver disease management, particularly with rising metabolic dysfunction-associated liver disease (MASLD) and chronic hepatitis B (CHB). While the Fibrosis-4 (FIB-4) index is wi... read more
We developed SwiftMHC, an ultra-fast and accurate structure-based framework for peptide-MHC (pMHC) modeling and binding affinity prediction. Using task-specific deep learning trained on physics-derived synthetic data, SwiftMHC predicts pMHC binding a... read more
Single-cell RNA sequencing (scRNA-seq) is a prominent tool for studying human disease biology. The availability of massive scRNA-seq datasets and advanced machine learning has driven the development of single-cell foundation models that provide versa... read more
The tissue-level processes underpinning metastatic outgrowth remain unclear. We combined single-cell RNA sequencing, spatial transcriptomics, and AI-supported 3D imaging in human breast cancer with functional investigations in mice to uncover a 3D mo... read more
Synthetic dyes from textile and related industries are discharged in large volumes; the discharged dyes persist in aquatic environments, causing long-term ecological and health risks. Among them, crystal violet (CV) is particularly hazardous dye due ... read more
OBJECTIVES: Patients referred for specialized care often arrive with outside medical records (OMRs) compiled into multi-report PDFs that include imaging, pathology, and clinical notes in unstructured formats. Reviewing these records is time consuming... read more
Electrocatalysis is a novel technology that can convert intermittent renewable electrical energy into high-value chemical fuels or products, achieving efficient energy storage and conversion. In the electrocatalytic process, the electron transfer and... read more
SIGNIFICANCE: Low-cost optoacoustic imaging based on light-emitting diodes (LEDs) offers an affordable alternative to traditional laser-based systems, potentially broadening the reach of this technology into resource-limited settings. However, LEDs a... read more
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