Oncology/Hematology

Other Cancers

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

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Machine learning improves post-transplantation hepatocellular carcinoma recurrence prediction.

BACKGROUND: To enhance post-transplantation hepatocellular carcinoma (HCC) recurrence prediction by ...

Driven early detection of chronic kidney cancer disease based on machine learning technique.

In recent times, chronic kidney cancer has been considered a significant cause of cancer, and Renal ...

Artificial intelligence-augmented ultrasound diagnosis of follicular-patterned thyroid neoplasms: a multicenter retrospective study.

BACKGROUND: Conventional diagnostic tools, including ultrasound, fine-needle aspiration cytology, an...

Advances in nanorobotics for gastrointestinal surgery: a new frontier in precision medicine and minimally invasive therapeutics.

Nanorobotics is catalyzing a paradigm shift in GI surgery by synergizing nanoscale engineering, synt...

Classification of Renal Lesions by Leveraging Hybrid Features from CT Images Using Machine Learning Techniques.

Renal cancer is amid the several reasons of increasing mortality rates globally, which can be reduce...

ESE and Transfer Learning for Breast Tumor Classification.

In this study, we proposed a lightweight neural network architecture based on inverted residual netw...

GALNT6 associated with O-GlcNAcylation contributes to the tumorigenesis of oral squamous cell carcinoma.

BACKGROUND: We aimed to explore the regulatory gene associated with O-GlcNAcylation in oral squamous...

Reshaping transplantation with AI, emerging technologies and xenotransplantation.

Organ transplantation remains the sole definitive treatment for many forms of end-stage organ failur...

An iterative strategy to design 4-1BB agonist nanobodies de novo with generative AI models.

The 4-1BB receptor, a key member of the tumor necrosis factor receptor (TNFR) family, represents a h...

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...

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...

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...

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

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

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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