Pathology

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

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Regularized Single-cell Imaging Enables Generalizable AI models for Stain-free Cell Viability Screening

Cell viability assays are essential tools in biomedical research and drug development. Artificial in...

CATERPillar: A Flexible Framework for Generating White Matter Numerical Substrates with incorporated Glial Cells

Monte Carlo diffusion simulations in numerical substrates are valuable for exploring the sensitivity...

Generative modeling for RNA splicing prediction and design

Alternative splicing (AS) of pre-mRNA plays a crucial role in tissue-specific gene regulation, with ...

Robust and accurate diagnosis of infectious skin diseases from histopathology images by integrating deep learning and explainable AI

Accurate diagnosis of infectious skin diseases remains a major challenge, particularly for neglected...

PathQC: Determining Molecular and Physical Integrity of Tissues from Histopathological Slides

Quantifying tissue molecular and physical integrity is essential for biobank development. However, c...

AlveolEye: Rapid and precise lung morphometry guided by computer vision

Rigorous and reproducible evaluation of lung tissue under different conditions is necessary to inter...

SmartHisto: Bayesian Active Learning for Histology Images

Accurate and efficient characterization of biological images is crucial for advancing systems biolog...

Multiple instance learning with spatial transcriptomics for interpretable patient-level predictions: application in glioblastoma

Accurate prediction of patient outcomes remains a major challenge in oncology. While recent machine ...

Nematic cell alignment directs calcium waves

Tissues rely on supracellular signals to coordinate their cells over a long range. Two such tissue-s...

Computer Vision Methods for Spatial Transcriptomics: A Survey

Spatial transcriptomics (ST) enables the simultaneous measurement of gene expression and spatial loc...

Cross-Species Morphology Learning Enables Nucleic Acid-Independent Detection of Live Mutant Blood Cells

In hematology/oncology clinics, molecular diagnostics based on nucleic acid sequencing or hybridizat...

Deep multiplexed 50-marker imaging of circulating tumor cells expands actionable biomarker profiling for precision oncology

Liquid biopsy-derived circulating tumor cells (CTCs) offer a minimally invasive avenue for precision...

A Single-cell Spatiotemporal Manifold of Tissue Morphology and Dynamics

Complex tissues are now characterizable at single-cell resolution, but the spatial logic underlying ...

Deep Learning-Based Classification of Colorectal Cancer in Histopathology Images for Category Detection

Accurate and timely diagnosis of colorectal cancer (CRC) is essential for effective treatment and be...

DeepSpot2Cell: Predicting Virtual Single-Cell Spatial Transcriptomics from H&E images using Spot-Level Supervision

Spot-based spatial transcriptomics (ST) technologies like 10x Visium quantify genome-wide gene expre...

Non-invasive estrous cycle classification in mice using convolutional neural networks

Accurately identifying the estrous cycle phases in laboratory mice is essential for neurological res...

Web engine for tumor pathology image retrievals on massive scales

Hematoxylin and Eosin staining (H&E) is widely used in clinical practice, but efficient and versatil...

Quantum Deep Learning Pipeline for Next Generation Network Biology

Module discovery in omics networks is central to interpretation. Classical pipelines capture broad c...

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