Other Cancers

Machine Learning Supports Long Noncoding RNAs as Expression Markers for Endometrial Carcinoma.

Uterine corpus endometrial carcinoma (UCEC) is the second most common type of gynecological tumor. S...

Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning.

OBJECTIVE: The aim of this study was to develop quantitative feature-based models from histopatholog...

Real-time prediction of tumor motion using a dynamic neural network.

Radiation dose delivery into the thoracic and abdomen cavities during radiotherapy treatment is a ch...

Multifactorial Deep Learning Reveals Pan-Cancer Genomic Tumor Clusters with Distinct Immunogenomic Landscape and Response to Immunotherapy.

PURPOSE: Tumor genomic features have been of particular interest because of their potential impact o...

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.

Glioblastoma (GBM) is the most common and deadly malignant brain tumor. For personalized treatment, ...

A computer-aided diagnosis system for differentiation and delineation of malignant regions on whole-slide prostate histopathology image using spatial statistics and multidimensional DenseNet.

PURPOSE: Prostate cancer (PCa) is a major health concern in aging males, and proper management of th...

Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks.

Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery. T...

A personalized computational model predicts cancer risk level of oral potentially malignant disorders and its web application for promotion of non-invasive screening.

BACKGROUND: Despite their high accuracy to recognize oral potentially malignant disorders (OPMDs) wi...

Machine and deep learning approaches for cancer drug repurposing.

Knowledge of the underpinnings of cancer initiation, progression and metastasis has increased expone...

Artificial Intelligence in Cancer Staging: Limitless Potential or Passing Fad?

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound.

OBJECTIVES: We aimed to establish and validate an artificial intelligence-based radiomics strategy f...

Harnessing big 'omics' data and AI for drug discovery in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the most common form of primary adult liver cancer. After nearly a...

FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms.

Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensiti...

Breast tumor classification through learning from noisy labeled ultrasound images.

PURPOSE: To train deep learning models to differentiate benign and malignant breast tumors in ultras...

A mitochondria-targeting nitroreductase fluorescent probe with large Stokes shift and long-wavelength emission for imaging hypoxic status in tumor cells.

Development of a mitochondria-targeting fluorescent probe with large Stokes shift and long-wavelengt...

Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks.

Nowadays, Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI) has demonstrated to be a va...

One-slice CT image based kernelized radiomics model for the prediction of low/mid-grade and high-grade HNSCC.

An accurate grade prediction can help to appropriate treatment strategy and effective diagnosis to H...

High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets.

Computational prediction of binding between neoantigen peptides and major histocompatibility complex...

Propofol affects the growth and metastasis of pancreatic cancer via ADAM8.

BACKGROUND: Anesthesia is a major component of surgery and recently considered an important regulato...

Single-stage posterior total en bloc spondylectomy in the treatment of lumbar spinal metastases.

OBJECTIVE: To report the clinical and radiographic outcomes of single-stage posterior total en bloc ...

Photoelectrochemical detection of circulating tumor cells based on aptamer conjugated CuO as signal probe.

In this work, a sensitive and reliable photoelectrochemical (PEC) biosensor was proposed based on he...