Oncology/Hematology

Predicting the biological behavior of cervical squamous cell carcinoma: a machine learning approach using apparent transverse relaxation rate (R2* maps) radiomics nomogram.

Label-free screening and grading of follicular thyroid neoplasms enabled by Fourier transform infrared microspectroscopy and machine learning.

Follicular thyroid neoplasms represent a common subtype of thyroid tumor that has become the most pr...

Integration of deep learning and radiomic features from multiplex immunohistochemistry images for reproducible Multi-Outcome prediction in a Multi-Center study of colorectal cancer.

OBJECTIVE: To develop and validate a robust, multimodal machine learning framework integrating radio...

Lung cancer segmentation Using the Att-U-Net Model on PET-CT Images.

INTRODUCTION: Lung cancer is the leading cause of cancer-related deaths worldwide, emphasizing the n...

Integrating Multi-Omics and Artificial Intelligence for Personalized Breast Cancer Management: A Guide to Clinicians.

Breast cancer's (BC) diverse nature and global impact demand tailored clinical strategies. Conventio...

Interpretable Machine Learning to Understand Wildfire Toxicity: Bridging Chemicals, Omics, and Toxicological Outcomes via Symbolic Regression with Novel Feature Scoring.

Wildfire smoke exposures are increasingly common, consisting of complex mixtures of gases and partic...

Co-repression of Yap1 and Sox9 Abrogates Established Cholangiocarcinoma by Eliminating Transcriptional Compensation.

BACKGROUND/AIMS: Intrahepatic cholangiocarcinoma (iCCA) represents an unmet clinical need due to its...

A deep learning approach to assess transendothelial cell trafficking performance.

Transendothelial migration (TEM), is a complex, multistep process impacted by diseases like autoimmu...

Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining.

The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an essent...

PRET is a few-shot system for pan-cancer recognition without example training.

Pathological examination stands as the cornerstone in cancer diagnosis, impacting millions worldwide...

Utilizing the transformer mechanism to predict cervical lymph node metastasis in patients with papillary thyroid carcinoma.

RATIONALE AND OBJECTIVE: The status of cervical lymph node metastasis(LNM) in Papillary thyroid carc...

Construction of an interpretable multimodal image model for differentiating T1-stage nasopharyngeal carcinoma from benign hyperplasia.

BACKGROUND AND OBJECTIVE: Differentiating T1-stage nasopharyngeal carcinoma (NPC) from benign hyperp...

Predicting neoadjuvant therapy response in breast cancer from preoperative biopsy via spatial-semantic-differential learning and interpretable clinicopathological-guided fusion.

Predicting pathological complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer remain...

Biological basis and clinical translation prospects of circulating cell-free DNA in precision management of breast cancer (Review).

Circulating cell-free DNA (cfDNA) has emerged as a valuable non-invasive biomarker that provides uni...

Cutting-edge advances in endocrine therapy for breast cancer (Review).

Endocrine therapy remains one of the primary treatment modalities for estrogen receptor (ER) positiv...

Constructing a corpus of hematologic pathology notes for the fine-tuning of BERT models for named entity recognition.

BACKGROUND: Microscopic, immunologic, and chemical testing play a major role in the diagnostic proce...

Modified ShuffleNet trained on gradient pattern and shape-based features for lung cancer classification with improved M-SegNet segmentation.

Lung cancer (LC) is one of the leading causes of death globally. Early detection is essential for sa...

Clinical and immunological significance of FOXO1 as a biomarker of improved response to immune checkpoint plus tyrosine kinase inhibitor therapy in metastatic renal cell carcinoma.

BACKGROUND: Predicting response to immune checkpoint inhibitor plus tyrosine kinase inhibitor (IO+TK...

Artificial Intelligence-Assisted reflectance confocal microscopy for Real-Time intraoperative margin assessment in oral squamous cell carcinoma.

BACKGROUND: Oral cavity squamous cell carcinoma (OSCC) is a global health burden, where negative mar...

Reconstructing tumor tissues in 3D: From organoids to bioengineered niches.

Tumor tissue engineering, integrating organoid, microfluidic, and biofabrication technologies, has o...

Transcriptomic Plasticity Is a Hallmark of Metastatic Pancreatic Cancer.

UNLABELLED: Metastasis is the leading cause of cancer deaths. To develop strategies for intercepting...