Latest AI and machine learning research in pathology for healthcare professionals.
IMPORTANCE: Artificial intelligence (AI) systems for skin cancer detection perform well in controlle...
INTRODUCTION: Breast cancer remains the most prevalent malignancy among women worldwide, with its pr...
Gas hydrate dissociation is a complex non-equilibrium process involving coupled lattice destabilizat...
BACKGROUND: SERPING1, which encodes the C1 inhibitor (C1-INH) of the complement system, and plays a ...
The multi-scale organization of chromatin underlies gene regulation and cell identity, yet how nucle...
Metabolic Dysfunction-Associated Steatohepatitis (MASH) is a severe form of Metabolic Dysfunction-As...
Acute Lymphoblastic Leukemia (ALL) is one of the most aggressive hematological malignancies, and its...
Predicting spatial transcriptomics from histology images offers cost-effective insights but faces pr...
Accurate interpretation of microscopic morphological features is critical for resolving taxonomic bo...
BACKGROUND: Sepsis-induced acute lung injury (ALI) is a frequent and life-threatening complication o...
Histopathology is the cornerstone of oncology diagnosis, while whole-slide images (WSIs) enable the ...
BACKGROUND: Globally, middle-aged men dominate suicide statistics in many regions. To understand the...
BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape of advanced...
Temporal lobe epilepsy (TLE) exhibits marked lateralized gray matter alterations, yet whole-brain ne...
OBJECTIVES: To evaluate the diagnostic performance of the large language model (LLM) Gemini 2.5 for ...
The tumor microenvironment (TME) is composed of diverse heterogeneous components and plays a crucial...
RATIONALE AND OBJECTIVES: Thyroid cancer, the fastest-growing endocrine malignancy, is shifting from...
As advanced nuclear reactor designs move towards higher operating temperatures, rapid nuclear materi...
Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemother...
BACKGROUND: Phenolic endocrine-disrupting chemicals (EDCs) like nonylphenol (NP) and octylphenol (OP...
Reliable quality assessment in digital pathology is essential to ensure the diagnostic usability of ...