Oncology/Hematology

Protracted severe systemic cytomegalovirus disease in an immunosuppressed patient with ulcerative colitis.

A 33-year-old man with ulcerative colitis presented with 5-day history of fever, night sweats, abdominal pain and increased stool frequency. He was on mesalazine M/R 1 g once daily, 6-mercaptopurine (6-MP) 75 mg once daily and prednisolone 40 mg once daily. Examination revealed fever and tachycardia. Blood examinations identified a persistent leucopenia, C reactive protein of 23 mg/L and an initia...

A successful case of a para-aortic lymphocele treated with autologous peripheral blood injection.

A lymphocele is one of the complications of systematic pelvic or para-aortic lymphadenectomy. Although most patients are entirely asymptomatic, our patient exhibited an obstructive ileus at the jejunum compressed by a lymphocele. We report here a case of a subsequent para-aortic lymphocele treated with autologous peripheral blood injection. A 68-year-old woman with sigmoid colon cancer (T3N2bM1a) ...

Prediction of lung cancer patient survival via supervised machine learning classification techniques.

Outcomes for cancer patients have been previously estimated by applying various machine learning techniques to large datasets such as the Surveillance...

Serum levels of chemical elements in esophageal squamous cell carcinoma in Anyang, China: a case-control study based on machine learning methods.

OBJECTIVES: Esophageal squamous cell carcinoma (ESCC) is the predominant form of esophageal carcinoma with extremely aggressive nature and low surviva...

Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy.

The aim of this study was to investigate the impact of pixel-based machine learning (ML) techniques, i.e., fuzzy-c-means clustering method (FCM), and ...

A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening.

Colorectal cancer (CRC) a leading cause of death by cancer, and screening programs for its early identification are at the heart of the increasing sur...

Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.

Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening me...

Kinase inhibitor screening using artificial neural networks and engineered cardiac biowires.

Kinase inhibitors are often used as cancer targeting agents for their ability to prevent the activation of cell growth and proliferation signals. Card...

Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology.

Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a set of venous thromboembolism (VTE) risk predictor...

Predicting Ascospore Release of Monilinia vaccinii-corymbosi of Blueberry with Machine Learning.

Mummy berry, caused by Monilinia vaccinii-corymbosi, causes economic losses of highbush blueberry in the U.S. Pacific Northwest (PNW). Apothecia devel...

Robotics in percutaneous cardiovascular interventions.

The fundamental technique of performing percutaneous cardiovascular (CV) interventions has remained unchanged and requires operators to wear heavy lea...

A deep learning framework for supporting the classification of breast lesions in ultrasound images.

In this research, we exploited the deep learning framework to differentiate the distinctive types of lesions and nodules in breast acquired with ultra...

A deep learning-based multi-model ensemble method for cancer prediction.

BACKGROUND AND OBJECTIVE: Cancer is a complex worldwide health problem associated with high mortality. With the rapid development of the high-throughp...

A novel and reliable computational intelligence system for breast cancer detection.

Cancer is the second important morbidity and mortality factor among women and the most incident type is breast cancer. This paper suggests a hybrid co...

A support vector machine classifier for the prediction of osteosarcoma metastasis with high accuracy.

In this study, gene expression profiles of osteosarcoma (OS) were analyzed to identify critical genes associated with metastasis. Five gene expression...

Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI.

OBJECTIVE: We aimed to propose an automatic method based on Support Vector Machine (SVM) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE...

Urinary bladder cancer staging in CT urography using machine learning.

PURPOSE: To evaluate the feasibility of using an objective computer-aided system to assess bladder cancer stage in CT Urography (CTU).

Expression of AdipoR1 and AdipoR2 Receptors as Leptin-Breast Cancer Regulation Mechanisms.

The development of breast cancer is influenced by the adipose tissue through the proteins leptin and adiponectin. However, there is little research co...

Development and evaluation of exemestane-loaded lyotropic liquid crystalline gel formulations.

The use of liquid crystalline (LC) gel formulations for drug delivery has considerably improved the current delivery methods in terms of bioavailabil...

Breast cancer cell nuclei classification in histopathology images using deep neural networks.

PURPOSE: Cell nuclei classification in breast cancer histopathology images plays an important role in effective diagnose since breast cancer can often...