Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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Histopathology-Based Prostate Cancer Classification Using ResNet: A Comprehensive Deep Learning Analysis.

Prostate cancer is the most prevalent solid tumor in males and one of the most common causes of male...

An artificial intelligence-based model for prediction of clonal hematopoiesis variants in cell-free DNA samples.

Circulating tumor DNA is a critical biomarker in cancer diagnostics, but its accurate interpretation...

Development and validation of an artificial intelligence-based pipeline for predicting oral epithelial dysplasia malignant transformation.

BACKGROUND: Oral epithelial dysplasia (OED) is a potentially malignant histopathological diagnosis g...

Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma.

BACKGROUND: The heterogeneous and aggressive nature of diffuse large B-cell lymphoma (DLBCL) present...

Deep learning predicts microsatellite instability status in colorectal carcinoma in an ethnically heterogeneous population in South Africa.

BACKGROUND: Deep learning (DL) models are effective pre-screening tools for detecting mismatch repai...

XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples.

It is estimated that approximately 15% of cancers worldwide can be linked to viral infections. The v...

A Novel Telomere Maintenance Gene-Related Model for Prognosis Prediction in Gastric Cancer.

Gastric cancer (GC) remains a significant clinical challenge due to its frequent late-stage diagnosi...

Improving Ovarian Cancer Subtyping with Computer Vision Models on Tiled Histopathological Images.

Ovarian cancer remains one of the most challenging cancers to diagnose due to its non-specific sympt...

Integrating machine learning and molecular docking to decipher the molecular network of aflatoxin b1-induced hepatocellular carcinoma.

OBJECTIVE: This study aims to investigate the molecular mechanisms underlying hepatocellular carcino...

Transforming healthcare: the impact of artificial intelligence on diagnostics, pharmaceuticals and ethical considerations - a comprehensive review.

Interpretability of results remains challenging in most health industries since patients may suffer ...

Label-Free and Intelligent Cell Death Recognition Toward Lung Cancer Chemotherapy.

The lack of high-throughput, label-free, and intelligent recognition models for assessing cell death...

Classification of non-small cell lung cancer by histologic subtype using deep learning in public and private data sets of computed tomography images.

OBJECTIVE: To develop a deep learning system to classify non-small cell lung cancer (NSCLC) by histo...

BrainTumNet: multi-task deep learning framework for brain tumor segmentation and classification using adaptive masked transformers.

BACKGROUND AND OBJECTIVE: Accurate diagnosis of brain tumors significantly impacts patient prognosis...

Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment.

INTRODUCTION: Prostate adenocarcinoma (PRAD) is an extremely widespread site of urological malignanc...

Integration of Bulk and Single-Cell RNA Sequencing to Identify RNA Modifications-Related Prognostic Signature in Ovarian Cancer.

BACKGROUND: Ovarian cancer (OC), a common fatal malignancy in women, has a poor prognosis. RNA modif...

Enhancing ERα-targeted compound efficacy in breast cancer threapy with ExplainableAI and GeneticAlgorithm.

Breast cancer remains a major cause of mortality among women globally, driving the need for advanced...

Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis.

Understanding the interaction between T Cell Receptors (TCRs) and peptide-bound Major Histocompatibi...

Association of [F]-FDG PET/CT-Derived Radiomic Features with Clinical Outcomes and Genomic Profiles in Patients with Chronic Lymphocytic Leukemia.

The role of PET/CT imaging in chronic lymphoproliferative syndromes (CLL) is debated. This study ex...

Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping.

Sarcomas, a rare and complex group of cancers, require multidisciplinary care across multiple health...

The Role of Machine Learning to Detect Occult Neck Lymph Node Metastases in Early-Stage (T1-T2/N0) Oral Cavity Carcinomas.

OBJECTIVE: Oral cavity carcinomas (OCCs) represent roughly 50% of all head and neck cancers. The ris...

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