Pathology

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

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A structure and function-based complete mutational map of Human Hemoglobin using AI

Hemoglobin (Hb), a well-characterized protein central to oxygen transport and molecular medicine, se...

Histology-guided 3D virtual staining of microCT-imaged lung tissue via deep learning

Histologically stained tissue sections are considered the gold standard for studying microscopic ana...

Artificial Intelligence-enabled Histological Analysis in Preclinical Respiratory Disease Models: A Scoping Review

Histological analysis is a cornerstone of preclinical respiratory disease research, enabling assessm...

High-Parameter Spatial Multi-Omics through Histology-Anchored Integration

Spatial omics face challenges in achieving high-parameter, multi-omics co-profiling. Serial-section ...

Multi-omics integration and batch correction using a modality-agnostic deep learning framework

State-of-the-art biotechnologies allow the detection of different molecular species on the same biol...

Voxel-accurate MRI-microscopy correlation enables AI-powered prediction of brain disease states

Magnetic resonance imaging (MRI) is essential for visualizing the healthy and diseased brain, yet th...

Predicting MammaPrint Recurrence Risk from Breast Cancer Pathological Images Using a Weakly Supervised Transformer

Recurrence related to poor prognosis is a leading cause of mortality in patients with breast cancer ...

Identifying tissue states by spatial protein patterns related to chemotherapy response in triple-negative breast cancer

Triple-negative breast cancer (TNBC) is an aggressive malignancy with limited targeted therapies and...

Tissue Reassembly with Generative AI

The spatial arrangement of cells is fundamental to their function, but single-cell RNA sequencing lo...

Kidney Tissue Characterization using Normalized Raman Imaging and Segment-Anything

Normalized Raman Imaging (NoRI) enables high-resolution, label-free quantification of protein and li...

Single-cell RNA sequencing and large-scale bulk combination with machine learning reveal gastric cancer-related macrophage heterogeneity

The tumor microenvironment (TME) significantly impacts cancer progression and overall patient surviv...

Normalized Raman Imaging for Studies of Tissue Physiology of the Kidney

Histology is the cornerstone of clinical pathology and an essential tool for many areas of medicine....

Deep Learning Bridges Histology and Transcriptomics to Predict Molecular Subtypes and Outcomes in Muscle-Invasive Bladder Cancer

Muscle-Invasive Bladder Cancer (MIBC) is a heterogeneous disease with distinct molecular subtypes in...

Lightweight open-source fine-tuning of SAM2 enables domain-specific microscopy segmentation

Quantitation of structures is a critical step in analyzing images. Automated segmentation of biologi...

Mimyr: Generative modeling of missing tissue in spatial transcriptomics

Spatial transcriptomics enables the study of how gene expression is organized across tissues, reveal...

Integrative spatial multi-omics reveals prognostic tumor niches in female genital tumors

Female genital tumors (FGTs), including ovarian, endometrial, and cervical cancers, pose a major glo...

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