Latest AI and machine learning research in pathology for healthcare professionals.
Multiple myeloma (MM) displays significant genetic heterogeneity, making it challenging to distinguish malignant from non-malignant plasma cells in single-cell datasets. Existing marker-based and CNV detection methods require manual intervention or high computational resources, limiting their scope. We developed a supervised deep learning autoencoder to classify malignant cells across MM and its p...
Spread through air spaces (STAS) is a recently recognized pattern of invasion in lung cancer that is strongly linked to postoperative recurrence and poor survival. For patients with early-stage disease eligible for sublobar resection, intraoperative identification of STAS on frozen section (FS) could theoretically inform surgical decision-making. However, accumulating evidence, including recent an...
Keratinocyte cancers (KCs) are the most prevalent cancers in white-skinned individuals, yet remain underrepresented in cancer registries because repor...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is emerging as the most common chronic liver disorder worldwide. However, most of the...
Background: Gliomas are primary malignant brain tumors. Among them, grade IV astrocytomas represent the most aggressive form with limited treatment op...
Accurate estimation of bond strength between steel reinforcement and geopolymer concrete is essential for the reliable design of sustainable reinforce...
Spatial transcriptomics (ST) enables spatially resolved gene expression profiling within intact tissue sections. However, its widespread adoption is c...
BACKGROUND: Tissue microenvironment heterogeneity, including cellular composition, functional states, and intercellular interactions, shapes complex b...
MOTIVATION: Spatial transcriptomics (ST) can quantitatively characterize the spatial molecular profile in tissues and yet is costly to be applied at a...
Patients with multiple myeloma are frequently exposed to prolonged, multi-line and multi-drug treatment, factors that may substantially influence over...
Cancer-associated fibroblasts (CAFs) play a crucial role in the tumor microenvironment (TME) by influencing tumor progression, metastasis, and therapy...
Spatial technologies have revolutionized the study of human development by enabling molecular profiling within intact tissue architecture. Advances in...
Complete cytoreductive surgery remains one of the strongest determinants of outcome in ovarian cancer, yet surgeons still lack rapid tissue-assessment...
BACKGROUND: The evaluation of genetic mutations is crucial for personalized therapy in colorectal cancer (CRC), but the invasive tissue biopsy is subj...
The purpose of this study is to develop and retrospectively validate a deep learning system for the classification and anatomically interpretable loca...
OBJECTIVES: We developed a transfer learning-based multimodal fusion deep learning model integrating positron emission tomography/computed tomography ...
BACKGROUND: Microsurgical suturing training requires precise, repeated feedback, but faculty feedback is often delayed, subjective, and limited by ava...
Ulcerative colitis (UC) is a chronic inflammatory bowel disease with limited mechanism-based therapies, and ferroptosis-an iron-dependent lipid peroxi...
Based on a dataset of 585 samples originating from across the Palearctic region and four genes (COI, CAD, Ca-ATPase, and 28S) for a subset of these sa...
INTRODUCTION: Assessment of renal tissue and renal tumor stiffness may provide complementary information for tissue characterization; however, convent...