Oncology/Hematology

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

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PET image nonuniformity texture features for metastasis risk prediction in osteosarcoma.

OBJECTIVE: PET image analysis provides tumor heterogeneity data related to neoadjuvant chemotherapy ...

Identification of Npas4 as a biomarker for CICI by transcriptomics combined with bioinformatics and machine learning approaches.

Chemotherapy is one of the most successful strategies for treating cancer. Unfortunately, up to 70 %...

New Targets for Imaging in Nuclear Medicine.

Nuclear medicine is rapidly evolving with new molecular imaging targets and advanced computational t...

Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis.

Non-coding RNAs (ncRNAs) play a crucial role in breast cancer progression, necessitating advanced co...

Multimodal AI model for preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images.

In breast cancer management, predicting axillary lymph node (ALN) metastasis using whole-slide image...

Integrative bioinformatics and machine learning identify key crosstalk genes and immune interactions in head and neck cancer and Hodgkin lymphoma.

Head and neck squamous cell carcinoma (HNSCC) is a highly aggressive malignancy with complex molecul...

Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence.

Acute myeloid leukemia (AML) is a severe hematological malignancy characterized by high recurrence r...

Enhancing biomarker based oncology trial matching using large language models.

Clinical trials are an essential component of drug development for new cancer treatments, yet the in...

MHFNet: A Multimodal Hybrid-Embedding Fusion Network for Automatic Sleep Staging.

Scoring sleep stages is essential for evaluating the status of sleep continuity and comprehending it...

Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation.

Multi-modal Magnetic Resonance Imaging (MRI) provide sufficient complementary information for brain ...

Frozen Large-Scale Pretrained Vision-Language Models are the Effective Foundational Backbone for Multimodal Breast Cancer Prediction.

Breast cancer is a pervasive global health concern among women. Leveraging multimodal data from ente...

Adaptive Cross-Feature Fusion Network With Inconsistency Guidance for Multi-Modal Brain Tumor Segmentation.

In the context of contemporary artificial intelligence, increasing deep learning (DL) based segmenta...

Development and Validation of a Novel Prediction Model for Hearing Loss From Cisplatin Chemotherapy.

PURPOSE: Cisplatin treats many common tumors but causes permanent and debilitating hearing loss (HL)...

Artificial intelligence-based muscle analysis risk assessment of treatment-related toxicity in metastatic colorectal cancer.

IntroductionUp to 60% of adults with metastatic colorectal cancer (mCRC) receiving combination cytot...

Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation.

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, with early detecti...

An efficient patient's response predicting system using multi-scale dilated ensemble network framework with optimization strategy.

The forecasting of a patient's response to radiotherapy and the likelihood of experiencing harmful l...

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.

UNSTRUCTURED: Digital health interventions offer promise for scalable and accessible healthcare, but...

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