Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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The brain’s lipid landscapes uncovered by mass spectrometry imaging and explainable machine learning

Recent computational advances in mass-spectrometry imaging (MSI) now enable unprecedented insight in...

SpatialProp: tissue perturbation modeling with spatially resolved single-cell transcriptomics

Perturbational studies are the gold standard for identifying causal relationships between components...

Colon-Specific Epigenetic Clocks from Minimal Features Reveal Disease-Driven Aging

Epigenetic clocks estimate chronological and biological age from DNA methylation patterns, but conve...

Sex differences in the neural circuitry of aggression

The social behavior neural network (SBNN) is a circuit composed of reciprocally connected limbic str...

Development of an AI Algorithm for Automatic Classification of Gram Stain Images in Microbiology

This paper reflects on the development and performance of an advanced artificial intelligence (AI) a...

Ensemble-Based Deep Learning for Breast Cancer Detection and Classification in Histopathological Images

Breast cancer remains one of the leading causes of cancer-related mortality worldwide, with early de...

MAGNET: an all-in-one foundation model for cross-modal and cross-dimensional microscopic image restoration

The application of emerging Foundation models in current microscopy has remained limited due to task...

ORANGE: A Machine Learning Approach for Modeling Tissue-Specific Aging from Transcriptomic Data

Despite aging being a fundamental biological process which profoundly influences health and disease,...

Beyond one-size-fits-all: single-cell transcriptomic signatures predict drug efficacy and reveal responder subgroups in endometriosis

Endometriosis affects ∼10% of reproductive-age women, yet targeted non-hormonal therapies remain una...

USHER: Guiding Foundation Model Representations through Distribution Shifts

Foundation models pre-trained on certain biological data modalities exhibit systematic representatio...

Generative AI Enables Breast Cancer Genomic Subtype Prediction from Histology Images

Breast cancer subtyping is essential for precision oncology, influencing prognosis, treatment select...

Predictive design of tissue-specific mammalian enhancers that function in vivo in the mouse embryo

Enhancers control tissue-specific gene expression across metazoans. Although deep learning has enabl...

Biologically Inspired Digital Histology for Deep Phenotyping of Placental Composition Changes Across Major Lesion Types

Placenta pathology provides diagnostic insights for understanding pregnancy complications and guides...

WSInsight as a cloud-native pipeline for single-cell pathology inference on whole-slide images

Digital pathology has increasingly embraced deep learning for large-scale tissue analysis, but most ...

MetaPaCS: A Novel Meta-Learning Framework for Pancreatic Cancer Subtype Identification

As the third leading cause of cancer related deaths in the United States, pancreatic cancer (PaC) is...

RamanOmics Decodes Spatial Vibrational-Molecular Architecture and Rewiring in Aging and Repair

Aging and tissue repair involve multilayered and spatially heterogeneous remodeling across transcrip...

Machine learning-based development of Gadolinium binding peptides

Gadolinium-based contrast agents (GBCAs) are indispensable tools in magnetic resonance imaging (MRI)...

Microenvironment-Inferred Genotyping: An Exclusionary Classifier for EGFR Amplification When DNA Testing Fails

EGFR amplification occurs in approximately 40-50% of glioblastoma (GBM) cases and is critical for tr...

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