Oncology/Hematology

Other Cancers

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

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A Deep Learning Framework Identifies Pathogenic Noncoding Somatic Mutations from Personal Prostate Cancer Genomes.

Our understanding of noncoding mutations in cancer genomes has been derived primarily from mutationa...

Personalized prediction of daily eczema severity scores using a mechanistic machine learning model.

BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory skin disease with periods of flares and...

Development of machine learning-based clinical decision support system for hepatocellular carcinoma.

There is a significant discrepancy between the actual choice for initial treatment option for hepato...

Synthesis of diagnostic quality cancer pathology images by generative adversarial networks.

Deep learning-based computer vision methods have recently made remarkable breakthroughs in the analy...

Classification of parotid gland tumors by using multimodal MRI and deep learning.

Various MRI sequences have shown their potential to discriminate parotid gland tumors, including but...

Multi-Responsive Bottlebrush-Like Unimolecules Self-Assembled Nano-Riceball for Synergistic Sono-Chemotherapy.

Improved drug loading content, bioavailability, and controlled release in targeted tissue have been ...

ALICE: a hybrid AI paradigm with enhanced connectivity and cybersecurity for a serendipitous encounter with circulating hybrid cells.

A fully automated and accurate assay of rare cell phenotypes in densely-packed fluorescently-labeled...

L-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification.

With the development of cancer research, various gene expression datasets containing cancer informat...

Time-range based sequential mining for survival prediction in prostate cancer.

BACKGROUND AND OBJECTIVE: Metastatic prostate cancer has a higher mortality rate than localized canc...

Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.

IMPORTANCE: The improvement of pulmonary nodule detection, which is a challenging task when using ch...

Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections.

BACKGROUND: Uveal melanoma (UM) is the most common primary intraocular malignancy in adults. Monosom...

Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis.

IMPORTANCE: Deep learning, a family of machine learning models that use artificial neural networks, ...

A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer.

BACKGROUND: Cell-free DNA's (cfDNA) use as a biomarker in cancer is challenging due to genetic heter...

Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study.

Artificial intelligence (AI) employs knowledge models that often behave as a black-box to the major...

Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging.

Recent advances in artificial intelligence (AI) and deep learning (DL) have impacted many scientific...

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning.

PURPOSE: Microvascular invasion (MVI) is a valuable predictor of survival in hepatocellular carcinom...

A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM).

An essential aspect of medical research is the prediction for a health outcome and the scientific id...

Spatial-channel relation learning for brain tumor segmentation.

PURPOSE: Recently, research on brain tumor segmentation has made great progress. However, ambiguous ...

Inguinal lymph node dissection in the era of minimally invasive surgical technology.

BACKGROUND: Inguinal lymph node dissection (ILND) is an essential step in both treatment and staging...

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