Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Peritoneal Metastasis Prediction in Gastric Cancer: A Machine Learning Approach

Evaluate the predictive efficacy of six machine learning (ML) algorithms in identifying peritoneal m...

Clinicodemographic Prediction of Overall Survival in Patients with Head and Neck Merkel Cell Carcinoma: A Machine Learning Approach

Merkel cell carcinoma (MCC) is a rare cutaneous neuroendocrine malignancy with a higher case-fatalit...

Histopathology-based Protein Multiplex Generation using Deep Learning

Multiplexed protein imaging offers valuable insights into interactions between tumors and their surr...

Radiomics-Based Early Triage of Prostate Cancer: A Multicenter Study from the CHAIMELEON Project

Prostate cancer (PCa) is the most commonly diagnosed malignancy in men worldwide. Accurate triage of...

Early Prediction of Anti-PD-1 Therapy Response in Hepatocellular Carcinoma Using Gut Microbiota Biomarkers

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, and response rat...

AI-detected tumor-infiltrating lymphocytes for predicting outcomes in anti-PD1 based treated melanoma

Easy and accessible biomarkers to predict response to immune checkpoint inhibition (ICI)-treated mel...

Development and Clinical Application of a Deep Learning-Based Endometrial Cancer Cytology Supporting Model

The global rise in endometrial cancer, including in Japan, and the shortage of pathologists and cyto...

Automatic Quantification of Ki-67 Labeling Index in Pediatric Brain Tumors Using Qupath

The quantification of the Ki-67 labeling index (LI) is critical for assessing tumor proliferation an...

It’s All in the Details: Guiding Fine-Feature Characteristics in Artificial Medical Images using Diffusion Models

We sought to develop a diffusion model-based framework that guides both larger anatomical structures...

AI enabled exome and transcriptome liquid biopsy platform spanning the continuum of care in oncology

Effective clinical management of patients with cancer requires highly accurate diagnosis, precise th...

Dual-stage AI system for Pathologist-Free Tumor Detection and subtyping in Oral Squamous Cell Carcinoma

Accurate histological grading of oral squamous cell carcinoma (OSCC) is critical for prognosis and t...

Revealing the Infiltration: Prognostic Value of Automated Segmentation of Non-Contrast-Enhancing Tumor in Glioblastoma

Precise delineation of non-contrast-enhancing tumor (nCET) in glioblastoma (GB) is critical for maxi...

Exploring Healthcare Professionals’ Perspectives on Artificial Intelligence in Palliative Care: A Qualitative Study

The use of Artificial Intelligence (AI) methods in palliative care research is increasing. Most AI p...

Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma Classification

Pediatric sarcomas are rare and diverse, often leading to misclassification that hampers prognosis a...

Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions

Molecular and cellular alterations to the normal pseudostratified columnar bronchial epithelium resu...

Advancing sarcoma diagnostics with expanded DNA methylation-based classification

Sarcomas pose a severe diagnostic challenge. A wide variety of these distinct entities need to be di...

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