Oncology/Hematology

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

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Showing 274-294 of 15,190 articles
Identifying the crucial oncogenic mechanisms of DDX56 based on a machine learning-based integration model of RNA-binding proteins.

RNA-binding proteins (RBPs) play a fundamental role in cellular metabolism, with their disturbance l...

Use of hybrid quantum-classical algorithms for enhancing biomarker classification.

Quantum machine learning (QML) combines quantum computing with machine learning, offering potential ...

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides.

Digital pathology enables automatic analysis of histopathological sections using artificial intellig...

Efficient and Scalable Thermal Radiation Management for Large-Scale Thermophotovoltaic Applications.

Thermophotovoltaics (TPVs) convert radiative heat to electricity and are promising in applications s...

Noninvasive real-time monitoring of cellular spatiotemporal dynamics via machine learning-enhanced electrical impedance spectroscopy.

Monitoring cellular spatiotemporal dynamics is essential for understanding complex biological proces...

Innovative organ-on-a-chip platforms for exploring tumorigenesis and therapy in head and neck cancer.

BACKGROUND: Head and neck cancer (HNC) presents significant research challenges due to the complexit...

Identification and evaluation of metabolic mRNAs and key miRNAs in colorectal cancer liver metastasis.

BACKGROUND: Colorectal cancer (CRC) represents a major global health challenge due to its high letha...

An end-to-end interpretable machine-learning-based framework for early-stage diagnosis of gallbladder cancer using multi-modality medical data.

BACKGROUND: The accurate early-stage diagnosis of gallbladder cancer (GBC) is regarded as one of the...

Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction.

To assess the image quality and radiation dose between reduced-dose CT with deep learning reconstruc...

New hybrid features extracted from US images for breast cancer classification.

Artificial intelligence (AI), and image processing fields play a vital role in classifying benign an...

In Silico tool for predicting, designing and scanning IL-2 inducing peptides.

Interleukin-2 (IL-2) based immunotherapy has been approved for treating certain types of cancer, as ...

Liquid Biopsy-Based Smart Sensors for Ovarian Cancer Detection.

Ovarian cancer is one of the most aggressive gynecologic malignancies, with a vast majority of patie...

Optimizing breast cancer therapy: chemoressitance and machine learning for precision prediction.

BACKGROUND: Validate a novel in vitro resistance platform for breast cancer (BC) by assessing resist...

Immunoscore: redefining the landscape of colorectal cancer control and care.

The Immunoscore (IS), introduced by Jerome Galon in the early 2000s, evaluates immune cell densities...

A literature review of radio-genomics in breast cancer: Lessons and insights for low and middle-income countries.

To improve precision medicine in breast cancer (BC) decision-making, radio-genomics is an emerging b...

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