Oncology/Hematology

Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification.

Naturally inspired evolutionary algorithms prove effectiveness when used for solving feature selection and classification problems. Artificial Bee Colony (ABC) is a relatively new swarm intelligence method. In this paper, we propose a new hybrid gene selection method, namely Genetic Bee Colony (GBC) algorithm. The proposed algorithm combines the used of a Genetic Algorithm (GA) along with Artifici...

Prediction of cancer proteins by integrating protein interaction, domain frequency, and domain interaction data using machine learning algorithms.

Many proteins are known to be associated with cancer diseases. It is quite often that their precise functional role in disease pathogenesis remains unclear. A strategy to gain a better understanding of the function of these proteins is to make use of a combination of different aspects of proteomics data types. In this study, we extended Aragues's method by employing the protein-protein interaction...

Automated colon cancer detection using hybrid of novel geometric features and some traditional features.

Automatic classification of colon into normal and malignant classes is complex due to numerous factors including similar colors in different biologica...

Proliferative activity of a blend of Echinacea angustifolia and Echinacea purpurea root extracts in human vein epithelial, HeLa, and QBC-939 cell lines, but not in Beas-2b cell lines.

Echinacea is used for its immunostimulating properties and may have a role in modulating adverse immune effects of chemotherapy (i.e., use of 5-fluoro...

Geometrical features assessment of liver's tumor with application of artificial neural network evolved by imperialist competitive algorithm.

Geometrical features of a cancerous tumor embedded in biological soft tissue, including tumor size and depth, are a necessity in the follow-up procedu...

Robotic liver surgery: preliminary experience in a tertiary hepato-biliary unit.

Minimally invasive liver surgery is performed with increasing frequency by hepatic surgeons. Laparoscopy was the first approach to be used and it is c...

HemOnc.org: A Collaborative Online Knowledge Platform for Oncology Professionals.

PURPOSE: Cancer care involves extensive knowledge about numerous chemotherapy drugs and chemotherapy regimens. This information is constantly evolving...

Correlation of plasma crizotinib trough concentration with adverse events in patients with anaplastic lymphoma kinase positive non-small-cell lung cancer.

BACKGROUND: Crizotinib, an ATP-competitive receptor tyrosine kinase inhibitor of both anaplastic lymphoma kinase (ALK) and the hepatocyte growth facto...

Applying under-sampling techniques and cost-sensitive learning methods on risk assessment of breast cancer.

Breast cancer is one of the most common cause of cancer mortality. Early detection through mammography screening could significantly reduce mortality ...

Robot-assisted surgery for gastric carcinoma: Five years follow-up and beyond: A single western center experience and long-term oncological outcomes.

INTRODUCTION: Robot-assisted surgery for the treatment of gastric cancer is considered to be safe and feasible with early post-operative outcomes comp...

Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features.

This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their "nonensemble" va...

Robotic-assisted pelvic lymph node dissection for prostate cancer: frequency of nodal metastases and oncological outcomes.

PURPOSE: Limited data are available regarding the oncologic efficacy of pelvic lymph node dissection (PLND) performed during robotic-assisted laparosc...

Port-site metastases in patients with gynecological cancer after robot-assisted operations.

INTRODUCTION: Port-site metastasis is an extremely rare event in patients with cancer treated with robotic-assisted surgery. However, as robotic proce...

Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer--the INNODIAG study.

BACKGROUND: Personalized medicine has become a priority in breast cancer patient management. In addition to the routinely used clinicopathological cha...

Surgical safety and oncologic effectiveness in robotic versus conventional open thyroidectomy in thyroid cancer: a systematic review and meta-analysis.

BACKGROUND: Although many experiences using the da Vinci Robot System have been reported by several groups, there is substantial controversy over the ...

Robotic surgery in supermorbidly obese patients with endometrial cancer.

OBJECTIVE: Morbid obesity is a known risk factor for the development of endometrial cancer. Several studies have demonstrated the overall feasibility ...

Identifying microRNAs involved in cancer pathway using support vector machines.

Since Ambros' discovery of small non-protein coding RNAs in the early 1990s, the past two decades have seen an upsurge in the number of reports of pre...

Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines.

BACKGROUND: Sleep staging is a critical step in a range of electrophysiological signal processing pipelines used in clinical routine as well as in sle...

Three- and four-class classification models for P-glycoprotein inhibitors using counter-propagation neural networks.

P-glycoprotein (P-gp) is an ATP binding cassette (ABC) transporter that helps to protect several certain human organs from xenobiotic exposure. This e...

Robotic Single-site Technique Allows Pelvic Lymphadenectomy in Surgical Staging of Endometrial Cancer.