Oncology/Hematology

Other Cancers

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

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Explaining Unsupervised Disease Staging in Huntington's Disease: Insights into Model Representations and Clusters

Huntington's disease (HD) is a progressive neurodegenerative disorder that affects motor, cognitive,...

Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge

Automated mitosis detection is a well-established task in computational pathology. While previous be...

Multimodal sleep stage classification and label-free abnormality scoring in mid-to-older adults

Background: Sleep fragmentation and reduced sleep efficiency are markers of disrupted sleep architec...

Quantifying Cancer Clinical Trial Eligibility Using Artificial Intelligence-Based Matching

PURPOSE: To develop and validate an artificial intelligence-enabled platform that converts unstructu...

Precision Imaging to Evaluate Kaposi Sarcoma (PRIME-KS): protocol for a multicountry novel artificial intelligence-based imaging device

Abstract Background: Kaposi sarcoma (KS) is the most common cancer among men in several Eastern Afri...

Understanding Human AI Discrepancy in Breast Cancer TIL Assessment: A Multi-Rater and Perceptual Bias Study

Objective: Tumor-infiltrating lymphocytes (TILs) in breast cancer are one of the most important indi...

A Foundation Model for the Cancer Genome

Cancer is a disease of the genome, in which somatic mutations and copy-number alterations determine ...

Development and Validation of a Machine Learning Model to Predict Prognosis in Patients with Advanced Head and Neck Cancer

Importance Prognostic tools beyond staging are needed to guide treatment and counseling in head and ...

Interconnecting ADC Structure with Tumor Cell Biology with Multimodal Learning

Antibody-drug conjugates (ADCs) represent a significant advancement in cancer therapy, yet their dev...

dbGIST: An LLM-Assisted Multi-Omics Resource for Target Exploration and Cross-Dataset Validation in Gastrointestinal Stromal Tumors

Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasms of the gastrointes...

Molecular Characterization of T-Lineage Acute Lymphoblastic Leukemia by an Optimal-Transport Based Multi-Omics Integration Framework

T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive pediatric malignancy characterized b...

BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is biologically heterogeneous, shaped by the interplay between hepati...

Chromatin accessibility of primary cancers informs regional mutagenesis in metastases through multi-scale deep learning

Tissue-specific chromatin states shape regional mutation density in primary tumors, but whether this...

Cross-Stage Attention Multi-Expert Network for Radiologist-Inspired Breast Ultrasound Diagnosis

Breast ultrasound imaging is an important noninvasive method for early breast cancer diagnosis, but ...

How Far Has AI Come in Liver Fibrosis Staging? A Large-Scale Real-World Dataset and Benchmark

Despite years of methodological progress, how far AI has come in liver fibrosis staging has never be...

Methodology for Creating a Clinically Verified Dermoscopic Image Dataset

This study presents a methodology for constructing a clinically verified dataset of dermatoscopic im...

Retrospective cohort study extracting coexisting background breast-lesion features from stage I-III invasive breast cancer

Background Background breast features are frequently noted in pathology reports alongside invasive b...

Generalist large language models complement tailor-made predictors for tumor genomics interpretation

General-purpose large language models (LLMs) are trained on large corpora to acquire broad knowledge...

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