Oncology/Hematology

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

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Simultaneous determination of 7 thiols associated proteins in lymphoma patients'serum and cerebrospinal fluid by UHPLC-HRMS technique.

Thiol compounds can serve as markers for the antioxidant and prognostic status of lymphoma, playing ...

Can ChatGPT Provide Patient-Friendly and Reliable Information on Cervical Cancer Screening? A Study of ChatGPT-Generated Information in Polish.

BACKGROUND Cervical cancer (CC) mortality remains a global health problem, and women's awareness of ...

Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy.

In nanostructure extraction, advanced techniques like synchrotron radiation and electron microscopy ...

Deep Learning Discovers New Morphological Features while Predicting Genetic Alterations from Histopathology of Papillary Thyroid Carcinoma.

Papillary thyroid carcinoma (PTC) is the most common malignant tumor of the endocrine system. muta...

Folate metabolism-associated CYP26A1 is a clinico-immune target in colorectal cancer.

Folic acid plays a crucial role in cellular regulation and metabolism, commonly included in dietary ...

Development of a prediction model by combining tumor diameter and clinical parameters of adrenal incidentaloma.

When adrenal incidentalomas are detected, diagnostic procedures are complicated by the need for endo...

A Novel Two-step Classification Approach for Differentiating Bone Metastases From Benign Bone Lesions in SPECT/CT Imaging.

RATIONALE AND OBJECTIVES: This study aims to develop and validate a novel two-step deep learning fra...

Genetic features for drug responses in cancer - Investigating an ensemble-feature-selection approach.

Predicting drug responses using genetic and transcriptomic features is crucial for enhancing persona...

A review of the use of tumour DNA methylation for breast cancer subtyping and prediction of outcomes.

DNA methylation in breast tumours has been extensively studied and has provided valuable insights in...

Artificial intelligence-assisted endobronchial ultrasound for differentiating between benign and malignant thoracic lymph nodes: a meta-analysis.

BACKGROUND: Endobronchial ultrasound (EBUS) is a widely used imaging modality for evaluating thoraci...

Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types.

Breast cancer is the most prevalent and lethal form of cancer being the utmost common medical concer...

Machine learning assisted CFD optimization of fuel-staging natural gas burners for enhanced combustion efficiency and reduced NOx emissions.

Industrial combustion systems are among the primary contributors to nitrogen oxide (NOx) emissions, ...

DCAF13 Regulates Cell Proliferation and Immune Escape of Hepatocellular Carcinoma Through Activating the NF-κB Pathway.

Hepatocellular carcinoma (HCC), the third leading cause of global cancer deaths, has a high unmet cl...

Enhancing breast cancer diagnosis through machine learning algorithms.

Among the most important health concerns in the world, and the number one cause of death in women, i...

A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans.

The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis ca...

Differential Diagnosis of Papillary Thyroid Carcinoma and Nodular Goiter With Papillary Hyperplasia Using Hyperspectral Imaging Technology.

Papillary thyroid carcinoma (PTC) and nodular goiter with papillary hyperplasia (NGPH) share similar...

An EEG-based seizure prediction model encoding brain network temporal dynamics.

EEG-based seizure prediction enables timely treatment for patients, but its performance is limited b...

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