Latest AI and machine learning research in pathology for healthcare professionals.
The field of computational pathology has been transformed with recent advances in foundation model...
Accurate prediction of cerebral blood flow is essential for the diagnosis and treatment of cerebro...
Accurate diagnosis and prognosis assisted by pathology images are essential for cancer treatment s...
In recent years, the use of deep learning (DL) methods, including convolutional neural networks (C...
Spatial transcriptomics (ST) provides high-resolution pathological images and whole-transcriptomic...
Cerebral aneurysms and arteriovenous malformations are life-threatening hemodynamic pathologies of...
Spatial transcriptomics (ST) provides essential spatial context by mapping gene expression within ...
Cytology slides are essential tools in diagnosing and staging cancer, but their analysis is time-c...
This article explores the transition from a traditional histopathological examination system to an i...
Spatially resolved transcriptomics (SRT) technologies facilitate the exploration of cell fates or st...
The process of digitising histology slides involves multiple factors that can affect a whole slide...
As one of the most prevalent diseases worldwide, plaque formation in human arteries, known as athe...
LLM based copilot assistants are useful in everyday tasks. There is a proliferation in the explora...
The digitization of natural history collections over the past three decades has unlocked a treasur...
Neoadjuvant chemotherapy (NAC) response prediction for triple negative breast cancer (TNBC) patien...
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as...
The left ventricular end-systolic pressure-volume relationship (ESPVr) is a key indicator of cardi...
Expression of human epidermal growth factor receptor 2 (HER2) is an important biomarker in breast ...
The placenta forms a critical barrier to infection through pregnancy, labor and, delivery. Inflamm...
The disease course and clinical outcome for brain tumor patients depend not only on the molecular an...
Our study introduces ResNet-L2 (RL2), a novel metric for evaluating generative models and image qu...