Oncology/Hematology

Rapid regression of cystoid macular edema associated with cytomegalovirus retinitis in adult acute myeloid leukemia by intravitreal methotrexate combined with oral valganciclovir: A case report with comparison of binocular outcome.

Cytomegalovirus (CMV) retinitis is a late complication of organ and hematopoietic stem cell transplant, the risk of which depends on the degree of immunosuppression. With the institution of preemptive ganciclovir therapy early after transplant, most patients survive episodes of life-threatening CMV infection during the early months (usually the first 3 months) after transplant and hence late onset...

Radical Vaginal Trachelectomy with Laparoscopic Pelvic Lymphadenectomy for Fertility Preservation in Young Women with Early-Stage Cervical Cancer.

The primary objective of this study was to describe our experience with the conservative treatment of early-stage cervical cancer (stages IA1, IA2, and IB1) with radical vaginal trachelectomy (RVT) and laparoscopic pelvic lymphadenectomy. This retrospective observational case series included 36 patients with early cervical cancer. Radical trachelectomy and laparoscopic pelvic lymphadenectomy were ...

Magnetic nanoparticles and nanocomposites for remote controlled therapies.

This review highlights the state-of-the-art in the application of magnetic nanoparticles (MNPs) and their composites for remote controlled therapies. ...

A Tool for Predicting Regulatory Approval After Phase II Testing of New Oncology Compounds.

We developed an algorithm (ANDI) for predicting regulatory marketing approval for new cancer drugs after phase II testing has been conducted, with the...

An Automatic Learning-Based Framework for Robust Nucleus Segmentation.

Computer-aided image analysis of histopathology specimens could potentially provide support for early detection and improved characterization of disea...

Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithm.

BACKGROUND: Metastatic neuroblastoma (NB) occurs in pediatric patients as stage 4S or stage 4 and it is characterized by heterogeneous clinical behavi...

Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks.

Imaging of cancer with 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) has become a standard component of diagnosis and staging in o...

Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.

Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signalin...

ReCAP: Feasibility and Accuracy of Extracting Cancer Stage Information From Narrative Electronic Health Record Data.

PURPOSE: Cancer stage, one of the most important prognostic factors for cancer-specific survival, is often documented in narrative form in electronic ...

Robotic infrarenal paraaortic and pelvic nodal staging for endometrial cancer: feasibility and lymphatic complications.

INTRODUCTION: This study was designed to evaluate the feasibility and lymphatic complications of robotic pelvic and infrarenal paraaortic lymphadenect...

Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning.

Increasingly, the effectiveness of adjuvant chemotherapy agents for breast cancer has been related to changes in the genomic profile of tumors. We inv...

Successful radiotherapy in postoperative recurrence of a primary mediastinal yolk sac tumor: A case report.

A woman in her 60s was evaluated for anterior chest pain. Computed tomography (CT) revealed a 50 mm mass with irregular contrast enhancement in the an...

Machine Learning methods for Quantitative Radiomic Biomarkers.

Radiomics extracts and mines large number of medical imaging features quantifying tumor phenotypic characteristics. Highly accurate and reliable machi...

Identifying relevant group of miRNAs in cancer using fuzzy mutual information.

MicroRNAs (miRNAs) act as a major biomarker of cancer. All miRNAs in human body are not equally important for cancer identification. We propose a meth...

Identification of Risk Factors for Initial Elevated Vancomyin Trough Concentrations.

Recent literature suggests that elevated vancomycin trough concentrations (>20 µg/mL) may be associated with an increased risk of nephrotoxicity and ...

Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study.

PURPOSE: Allogeneic hematopoietic stem-cell transplantation (HSCT) is potentially curative for acute leukemia (AL), but carries considerable risk. Mac...

Prediction of core cancer genes using a hybrid of feature selection and machine learning methods.

Machine learning techniques are of great importance in the analysis of microarray expression data, and provide a systematic and promising way to predi...

Discrimination of driver and passenger mutations in epidermal growth factor receptor in cancer.

Cancer is one of the most life-threatening diseases and mutations in several genes are the vital cause in tumorigenesis. Protein kinases play essentia...

Robotic retroperitoneal lymph node dissection in gynaecological neoplasms: comparison of extraperitoneal and transperitoneal lymphadenectomy.

OBJECTIVE: The main aim of our study is to review the till now available literature data on the role of robotic retroperitoneal lymph node dissection ...

A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.

Breast cancer is the most deadly disease affecting women and thus it is natural for women aged 40-49 years (who have a family history of breast cancer...