Spatial map of bladder cancer reveals hidden tumor environments, new paths toward precision therapy

Researchers at The University of Texas MD Anderson Cancer Center have developed a spatial map of muscle-invasive bladder ...
Nature

Brain tumor detection empowered with ensemble deep learning approaches from MRI scan images

Brain tumor detection is essential for early diagnosis and successful treatment, both of which can significantly enhance patient outcomes. To evaluate brain MRI scans and categorize them into four ...
Frontiers

An Automated Quantification Tool for Angiogenic Sprouting From Endothelial Spheroids

The process of sprouting angiogenesis can be measured in vitro using endothelial cells in sprouting assays such as the fibrin bead assay and the spheroid-based assay. While the technical aspects of ...
Nature

Automated detection and quantification of breast cancer brain metastases in an animal model using democratized machine learning tools

Advances in digital whole-slide imaging and machine learning (ML) provide new opportunities for automated examination and quantification of histopathological slides to support pathologists and ...
PNAS

Mobile platform for rapid sub–picogram-per-milliliter, multiplexed, digital droplet detection of proteins

Edited by Chad A. Mirkin, Northwestern University, Evanston, IL, and approved January 11, 2019 (received for review August 21, 2018) ...
Frontiers

Multimodal Analysis of Central Nervous System Tumor Tissue Endogenous Fluorescence With Multiscale Excitation

The primary therapeutic approach for high-grade brain tumor is surgical resection. However, identifying tumor margins in vivo remains a major challenge. Biopsy analysis remains the standard diagnostic ...
PNAS

3D electron microscopy for analyzing nanoparticles in the tumor endothelium

Delivering medical agents (e.g., using nanoparticles) into tumors is necessary for treating cancer. Conventional electron microscopy (EM) can visualize single nanoparticles but is limited to thin ...