Oncology/Hematology

Other Cancers

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

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Machine learning models for predicting postoperative peritoneal metastasis after hepatocellular carcinoma rupture: a multicenter cohort study in China.

BACKGROUND: Peritoneal metastasis (PM) after the rupture of hepatocellular carcinoma (HCC) is a crit...

Jan 2025 39832130
Neuroblastoma: nutritional strategies as supportive care in pediatric oncology

Neuroblastoma, is a highly heterogeneous pediatric tumour and is responsible for 15% of pediatric ...

Using artificial intelligence and statistics for managing peritoneal metastases from gastrointestinal cancers.

OBJECTIVE: The primary objective of this study is to investigate various applications of artificial ...

Jan 2025 39736152
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models

Glioblastoma, a highly aggressive brain tumor, poses major challenges due to its poor prognosis an...

Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features

Hepatocellular carcinoma is the most spread primary liver cancer across the world ($\sim$80\% of t...

Exploring visual language models as a powerful tool in the diagnosis of Ewing Sarcoma

Ewing's sarcoma (ES), characterized by a high density of small round blue cells without structural...

RadGPT: Constructing 3D Image-Text Tumor Datasets

With over 85 million CT scans performed annually in the United States, creating tumor-related repo...

Identification of CXCR4 inhibitory activity in natural compounds using cheminformatics-guided machine learning algorithms.

Neurodegenerative disorders are characterised by progressive damage to neurons that leads to cogniti...

Jan 2025 39985292
Host Microenvironment Reprogramming by Saccharides Overcomes Lung Barriers for mRNA Therapeutics

Overcoming biological barriers remains the paramount challenge for pulmonary mRNA therapeutics. Conv...

Mechanistic modeling and machine learning identifies optimum radiotherapy schedules to prevent treatment-induced metastasis

Lung cancer patients often experience increased metastasis formation after radiotherapy. However, it...

HLAIIPred: Cross-Attention Mechanism for Modeling the Interaction of HLA Class II Molecules with Peptides

We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukoc...

Mapping and reprogramming human tissue microenvironments with MintFlow

Tissue microenvironments reprogram local cellular states in disease, yet current computational spati...

Pixel-Precise Lesion Localization in WSIs via Weakly Supervised Streaming Convolution with ReLSE and Adaptive Self-Training

A robust artificial intelligence-assisted workflow for tumor assessment in pathology requires not on...

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