Latest AI and machine learning research in pathology for healthcare professionals.
Deep learning systems in digital pathology are widely regarded as opaque, limiting clinical trust an...
MLMarker is a machine learning tool that computes continuous tissue similarity scores for proteomics...
Drug-induced toxicity remains a leading cause of failure in preclinical development and early clinic...
The diagnosis of thyroid nodule cancers commonly utilizes ultrasound images. Several studies showed ...
Transcriptomic studies have helped us understand the dorsal root ganglia's cellular milieu, yet our ...
Background and Aims: Artificial intelligence (AI) is increasingly applied to histological assessment...
The standard treatment for stage I lung adenocarcinoma is surgical resection, in most cases without ...
Background: Childhood T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic ma...
Predicting spatial gene expression from H&E histology offers a scalable and clinically accessible al...
Spaceflight-associated neuro-ocular syndrome (SANS) threatens astronaut health during long-duration ...
Predicting spatial gene expression from H&E histology offers a scalable and clinically accessible al...
High-dimensional structural MRI (sMRI) images are widely used for Alzheimer's Disease (AD) diagnosis...
Small-cell neuroendocrine carcinoma (SCNC) is a rare but highly malignant tumor subtype that primari...
Image classification on digital pathology images relies heavily on convolutional neural networks (CN...
Accurate assessment of human epidermal growth factor receptor 2 (HER2) expression is critical for br...
Implant-based breast reconstruction is the most common surgical option following mastectomy for brea...
The microbiome responds to physicochemical changes in the environment, making it a sensitive indicat...
Quantitative, time-resolved 3D fluorescence microscopy can reveal complex cellular dynamics in livin...
Live-cell microscopy restoration is constrained by a trade-off between inference latency and texture...
Chronic wounds affect over 1.2 million Canadians and incur healthcare costs exceeding $13 billion an...
Accurate semantic segmentation for histopathology image is crucial for quantitative tissue analysis ...