Latest AI and machine learning research in pathology for healthcare professionals.
OBJECTIVE: Microsatellite instability (MSI) has emerged as a key predictive biomarker for chemotherapy and immunotherapy response, and as a prognostic indicator in colorectal cancer (CRC). The current clinical standard for MSI detection relies on polymerase chain reaction (PCR) or immunohistochemical analysis of tumor biopsy specimens. CT, PET-CT, and MRI-based radiomics models present a promising...
Purpose To develop a multimodal model for survival prediction and time-dependent model interpretability in glioblastoma by integrating preoperative MRI with clinical and molecular variables. Materials and Methods This retrospective multicenter study included two institutional cohorts (February 2007-December 2024) and two public external test sets. A deep learning-based prognostic index (DPI) was g...
Coxiella burnetii is a highly virulent intracellular pathogen and the causative agent of acute and chronic Q fever in humans. Central to its pathogeni...
BACKGROUND: Artificial intelligence (AI) is increasingly being implemented in digital pathology to support the tissue classification, cell detection, ...
Pancreatic ductal adenocarcinoma (PDAC) has poor prognosis due to late diagnosis, limitations of computed tomography (CT) imaging, and low accuracy of...
BACKGROUND: Brain tumor is one of the most malignant diseases of the central nervous system, and early accurate detection is of great significance for...
Paper spray ionization mass spectrometry (PSI-MS)-based nontargeted metabolomics was employed to rapidly classify prostate health conditions using uri...
We present a wavefront coding (WFC) based decoupled illumination-detection light sheet fluorescence microscopy (DID-LSFM) system that integrates machi...
Female reproductive aging has systemic health implications, yet tissue-level dynamics remain poorly understood. Here we integrate deep learning analys...
PURPOSE: As obesity has reached pandemic proportions worldwide, improving technical solutions for its treatment requires robust planning and numerical...
Breast cancer remains one of the leading malignancies globally, and accurate diagnostic decisions at the early stages of the disease can significantly...
Ageing-related diseases (ARDs) display diverse phenotypes yet share an age-dependent rise in incidence, suggesting mechanistic links with ageing proce...
Squamous cell carcinomas of unknown primary (SCCUP), accounting for approximately 5% of head and neck malignancies, present significant clinical chall...
RATIONALE AND OBJECTIVES: This study aimed to quantitatively characterize the heterogeneity of Transrectal ultrasound (TRUS)-visible lesions using sub...
BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantification of tissue perfusion, and metabolism. This stud...
PURPOSE: Non-mass enhancement (NME) in breast magnetic resonance imaging (MRI) is a diagnostically challenging entity due to overlapping benign and ma...
PURPOSE: Spatial metabolic differences found in glioblastoma (GBM) tumor core (contrast enhancing) and peritumoral (T2/FLAIR hyperintense) edge tissue...
Spatial Transcriptomics (ST) technology detects gene expression from tissue biopsies, playing an emerging role in cancer diagnosis and precision medic...
Objective: To systematically summarize and evaluate the current application status and research progress of artificial intelligence (AI) in cervical c...