Oncology/Hematology

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

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Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response.

The immune response to tumour development is frequently targeted with therapeutics but remains large...

The Helicobacter pylori AI-clinician harnesses artificial intelligence to personalise H. pylori treatment recommendations.

Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen globally and the leading ca...

Deep Learning Applications in Lymphoma Imaging.

Lymphomas are a diverse group of disorders characterized by the clonal proliferation of lymphocytes....

Pathological omics prediction of early and advanced colon cancer based on artificial intelligence model.

Artificial intelligence (AI) models based on pathological slides have great potential to assist path...

Integrating bulk and single-cell RNA sequencing reveals intratumor heterogeneity phenotypes and immune infiltration in pancreatic cancer.

BACKGROUND: Although the significance of intratumoral heterogeneity (ITH) has been widely acknowledg...

Early breast cancer detection via infrared thermography using a CNN enhanced with particle swarm optimization.

Breast cancer remains the most prevalent cause of cancer-related mortality among women worldwide, wi...

Predictors of frontline doublet or triplet regimen initiation in transplant-ineligible newly diagnosed multiple myeloma.

AIMS: To identify predictors for initiation of frontline doublet versus triplet therapy for transpla...

AI-driven robotic surgery in oncology: advancing precision, personalization, and patient outcomes.

Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by si...

Development and validation of a prognostic model for predicting survival and immunotherapy benefits in melanoma based on metabolism-relevant genes.

Skin cutaneous melanoma (SKCM) is a fatal form of skin cancer. Metabolism-related genes (MRGs) compr...

Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture.

The brain tumours originate in the brain or its surrounding structures, such as the pituitary and pi...

Machine learning-based risk prediction model for central nervous system involvement in diffuse large B-cell lymphoma.

Accurate prediction of CNS relapse in DLBCL remains challenging despite existing models like IPI and...

Large-scale deep learning for metastasis detection in pathology reports.

OBJECTIVES: No existing algorithm can reliably identify metastasis from pathology reports across mul...

Machine Learning-Assisted Multimodal Early Screening of Lung Cancer Based on a Multiplexed Laser-Induced Graphene Immunosensor.

Lung cancer remains the leading cause of cancer-related mortality worldwide, largely due to late-sta...

Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis.

BACKGROUND: Surgeons often face challenges in distinguishing between benign and malignant follicular...

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