Oncology/Hematology

Multi-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancer.

BACKGROUND: Traditional cancer treatments have centered on cytotoxic drugs and general purpose chemotherapy that may not be tailored to treat specific cancers. Identification of molecular markers that are related to different types of cancers might lead to discovery of drugs that are patient and disease specific. This study aims to use microarray gene expression cancer data to identify biomarkers ...

Cancer adjuvant chemotherapy strategic classification by artificial neural network with gene expression data: An example for non-small cell lung cancer.

PURPOSE: Adjuvant chemotherapy (ACT) is used after surgery to prevent recurrence or metastases. However, ACT for non-small cell lung cancer (NSCLC) is still controversial. This study aimed to develop prediction models to distinguish who is suitable for ACT (ACT-benefit) and who should avoid ACT (ACT-futile) in NSCLC.

Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data.

The flood of high-dimensional data resulting from mass cytometry experiments that measure more than 40 features of individual cells has stimulated cre...

Evaluation and integration of cancer gene classifiers: identification and ranking of plausible drivers.

The number of mutated genes in cancer cells is far larger than the number of mutations that drive cancer. The difficulty this creates for identifying ...

Knowledge-based radiation therapy (KBRT) treatment planning versus planning by experts: validation of a KBRT algorithm for prostate cancer treatment planning.

BACKGROUND: A knowledge-based radiation therapy (KBRT) treatment planning algorithm was recently developed. The purpose of this work is to investigate...

Surgical and oncological outcome of robotic surgery compared to laparoscopic and abdominal surgery in the management of endometrial cancer.

OBJECTIVE: To compare different techniques of minimally invasive surgery (laparoscopy and robotics) to abdominal surgery in order to identify the opti...

A support vector machine tool for adaptive tomotherapy treatments: Prediction of head and neck patients criticalities.

PURPOSE: Adaptive radiation therapy (ART) is an advanced field of radiation oncology. Image-guided radiation therapy (IGRT) methods can support daily ...

Clinical evaluation of postoperative chemotherapy based on genetic testing in patients with stage IIIA non-small cell lung cancer.

BACKGROUND: We performed a retrospective analysis to evaluate whether a postoperative chemotherapy selection method based on four tumoral gene express...

Evaluation of vermillion border descriptors and relevance vector machines discrimination model for making probabilistic predictions of solar cheilosis on digital lip photographs.

INTRODUCTION: Solar cheilosis (SC), a common precancer of the lower lip with a high potential to progress to invasive squamous cell carcinoma, present...

An unsupervised feature learning framework for basal cell carcinoma image analysis.

OBJECTIVE: The paper addresses the problem of automatic detection of basal cell carcinoma (BCC) in histopathology images. In particular, it proposes a...

Trans-oral robotic surgery and surgeon-performed trans-oral ultrasound for intraoperative location and excision of an isolated retropharyngeal lymph node metastasis of papillary thyroid carcinoma.

BACKGROUND: Retropharyngeal metastases are uncommon but a well-known location for regional spread of well-differentiated thyroid carcinoma (WDTC). Sur...

An Acoustic Communication Technique of Nanorobot Swarms for Nanomedicine Applications.

In this contribution, we present a communication paradigm among nanodevices, based on acoustic vibrations for medical applications. We consider a swar...

Minimization of curative surgery for treatment of early cervical cancer: a review.

Surgery is effective and useful for curative treatment of patients with early invasive cervical cancer, yet minimization of surgical procedures provid...

Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.

BACKGROUND: Manual eligibility screening (ES) for a clinical trial typically requires a labor-intensive review of patient records that utilizes many r...

Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.

PURPOSE: To develop a classification model using texture features and support vector machine in contrast-enhanced T1-weighted images to differentiate ...

Management of ovarian cancer in 14th gestational week of pregnancy by robotic approach with preservation of the fetus.

The objective of this study is to present a rare case of pregnancy complicated with ovarian cancer managed by robotic surgery. A 36-year-old woman suf...

Cytotoxic response of platinum-coated gold nanorods in human breast cancer cells at very low exposure levels.

Because of unique optical behavior gold nanorods (GNRs) have attracted attention for the application in biomedical field such as bio-sensing, bio-imag...

Generating a focused view of disease ontology cancer terms for pan-cancer data integration and analysis.

Bio-ontologies provide terminologies for the scientific community to describe biomedical entities in a standardized manner. There are multiple initiat...

Diagnosis of Malignancy in Thyroid Tumors by Multi-Layer Perceptron Neural Networks With Different Batch Learning Algorithms.

To diagnose the malignancy in thyroid tumor, neural network approach is applied and the performances of thirteen batch learning algorithms are investi...

A fast neural network approach to predict lung tumor motion during respiration for radiation therapy applications.

During radiotherapy treatment for thoracic and abdomen cancers, for example, lung cancers, respiratory motion moves the target tumor and thus badly af...