Latest AI and machine learning research in pathology for healthcare professionals.
Accurate whole-cell and nuclear segmentation is essential for precision pathology and spatial omics,...
The application of Deep Learning in medical diagnosis must balance patient safety with compliance wi...
Gliomas are aggressive primary brain tumors that necessitate critical molecular biomarker prediction...
Background: Mechanical ventricular unloading and systemic circulatory support with left ventricular ...
Objective: To demonstrate the proof of principle that machine learning (ML) can be used to quantify ...
Spatial omics technologies have revolutionized the molecular profiling of tissues but remain constra...
The human liver depends on multiscale structural organization from vasculature to cells to organelle...
Lung adenocarcinoma (LUAD), the most common subtype of non-small cell lung cancer, exhibits profound...
Pancreatic cancer progression is orchestrated by dynamic shifts in immune and stromal cellular ecosy...
Brain tumors represent one of the most critical neurological conditions, where early and accurate di...
Lung adenocarcinoma (LUAD) grading depends on accurately identifying growth patterns, which are indi...
Spatial transcriptomics (ST) enables spatially resolved gene profiling but remains expensive and low...
Accurate diagnosis of pediatric brain tumors, starting with histopathology, presents unique challeng...
Peripheral Blood Smear (PBS) is a critical microscopic examination in hematopathology that yields wh...
Lung cancer remains one of the leading causes of cancer-related mortality worldwide. Conventional co...
In this work, the impact of outliers on the performance of machine learning and deep learning models...
Background. Adult diffuse glioma is a representative class of primary brain tumors for which accurat...
Dysarthric speech severity assessment typically requires either trained clinicians or supervised mac...
A low cost fluorescence-based optical system is developed for detecting the presence of certain micr...
Objective. Standard Magnetic Resonance Imaging (MRI) reconstruction pipelines discard phase informat...
Generative Lung Architecture Modeling (GLAM) is an integrated bioengineering framework that couples ...