Oncology/Hematology

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

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Application of machine learning in breast cancer survival prediction using a multimethod approach.

Breast cancer is one of the most prevalent cancers with an increasing trend in both incidence and mo...

Exploring an novel diagnostic gene of trastuzumab-induced cardiotoxicity based on bioinformatics and machine learning.

Trastuzumab (Tra)-induced cardiotoxicity (TIC) is a serious side effect of cancer chemotherapy, whic...

Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition.

Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer worldwide, ...

MIRD Pamphlet No. 31: MIRDcell V4-Artificial Intelligence Tools to Formulate Optimized Radiopharmaceutical Cocktails for Therapy.

Radiopharmaceutical cocktails have been developed over the years to treat cancer. Cocktails of agent...

Integrating omics data and machine learning techniques for precision detection of oral squamous cell carcinoma: evaluating single biomarkers.

INTRODUCTION: Early detection of oral squamous cell carcinoma (OSCC) is critical for improving clini...

Liver tumor segmentation method combining multi-axis attention and conditional generative adversarial networks.

In modern medical imaging-assisted therapies, manual annotation is commonly employed for liver and t...

Predicting chemotherapy responsiveness in gastric cancer through machine learning analysis of genome, immune, and neutrophil signatures.

BACKGROUND: Gastric cancer is a major oncological challenge, ranking highly among causes of cancer-r...

Identification of diagnostic biomarkers and molecular subtype analysis associated with m6A in Tuberculosis immunopathology using machine learning.

Tuberculosis (TB), ranking just below COVID-19 in global mortality, is a highly complex infectious d...

Accurate prediction of colorectal cancer diagnosis using machine learning based on immunohistochemistry pathological images.

Colorectal cancer (CRC) ranks as the third most prevalent tumor and the second leading cause of mort...

Quality and mechanical efficiency of automated knowledge-based planning for volumetric-modulated arc therapy in head and neck cancer.

OBJECTIVES: This study aimed to examine the effectiveness of the automated RapidPlan in assessing pl...

Development and Validation of Machine Learning Model Platelet Index-based Predictor for Colorectal Cancer Stage.

INTRODUCTION: Colorectal cancer (CRC) staging is essential for effective treatment planning and prog...

Machine learning to predict lymph node metastasis in T1 esophageal squamous cell carcinoma: a multicenter study.

BACKGROUND: Existing models do poorly when it comes to quantifying the risk of lymph node metastases...

BMSMM-Net: A Bone Metastasis Segmentation Framework Based on Mamba and Multiperspective Extraction.

RATIONALE AND OBJECTIVES: Metastatic bone tumors significantly reduce patients' quality of life and ...

Machine learning analysis of the effects of COVID-19 on migration patterns.

This study investigates the impact of the COVID-19 pandemic on European tourist mobility patterns fr...

anti-cancer activity of siddha metallo-mineral formulation from Thanga uram with Hela cell lines.

The second most common malignant tumour in women worldwide, cervical cancer seriously jeopardizes th...

Impact of deep learning reconstruction on radiation dose reduction and cancer risk in CT examinations: a real-world clinical analysis.

PURPOSE: The purpose of this study is to estimate the extent to which the implementation of deep lea...

Data - Knowledge driven machine learning model for cancer pain medication decisions.

BACKGROUND: Cancer pain is one of the most common symptoms in cancer patients, and drug decision-mak...

"Artificial histology" in colonic Neoplasia: A critical approach.

BACKGROUND: The histological assessment of colorectal precancer and cancer lesions is challenging an...

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