Oncology/Hematology

Comparison of Planning Quality and Efficiency Between Conventional and Knowledge-based Algorithms in Nasopharyngeal Cancer Patients Using Intensity Modulated Radiation Therapy.

PURPOSE: Intensity modulated radiation therapy (IMRT) is widely used to achieve a highly conformal dose and improve treatment outcome. However, plan quality and planning time are institute and planner dependent, and no standardized tool exists to recognize an optimal plan. RapidPlan, a knowledge-based algorithm, can generate constraints to assist optimization and produce high-quality IMRT plans. T...

Machine learning-based classification of diffuse large B-cell lymphoma patients by eight gene expression profiles.

Gene expression profiling (GEP) had divided the diffuse large B-cell lymphoma (DLBCL) into molecular subgroups: germinal center B-cell like (GCB), activated B-cell like (ABC), and unclassified (UC) subtype. However, this classification with prognostic significance was not applied into clinical practice since there were more than 1000 genes to detect and interpreting was difficult. To classify canc...

SNRFCB: sub-network based random forest classifier for predicting chemotherapy benefit on survival for cancer treatment.

Adjuvant chemotherapy (CTX) should be individualized to provide potential survival benefit and avoid potential harm to cancer patients. Our goal was t...

Fully automated classification of bone marrow infiltration in low-dose CT of patients with multiple myeloma based on probabilistic density model and supervised learning.

This paper presents a fully automated method for the identification of bone marrow infiltration in femurs in low-dose CT of patients with multiple mye...

Penetration of an artificial arterial thromboembolism in a live animal using an intravascular therapeutic microrobot system.

The biomedical applications of wireless robots are an active area of study. In addition to moving to a target lesion, wireless locomotive robots can d...

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.

Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a ch...

Network-based in silico drug efficacy screening.

The increasing cost of drug development together with a significant drop in the number of new drug approvals raises the need for innovative approaches...

Analysis of the relation between health statistics and eating habits in Japanese prefectures using fuzzy robust regression model.

In recent years, the Japanese Ministry of Health, Labour, and Welfare is working to improve citizen׳s lifestyle and social environment to improve thei...

Cross-trial prediction of treatment outcome in depression: a machine learning approach.

BACKGROUND: Antidepressant treatment efficacy is low, but might be improved by matching patients to interventions. At present, clinicians have no empi...

Artificial neural network-based exploration of gene-nutrient interactions in folate and xenobiotic metabolic pathways that modulate susceptibility to breast cancer.

In the current study, an artificial neural network (ANN)-based breast cancer prediction model was developed from the data of folate and xenobiotic pat...

Single-Port Laparoscopic Liver Resection: Largest Turkish Experience.

Single-port laparoscopic surgery has the advantage of a hidden scar and reduced abdominal wall trauma. Although single-port laparoscopic surgery is wi...

Garlic ((Allium sativum)) Fresh Juice Induces Apoptosis in Human Oral Squamous Cell Carcinoma: The Involvement of Caspase-3, Bax and Bcl-2.

Background and aims. There is no report on the apoptotic impact of Allium sativum L.(Garlic) on the oral squamous cell carcinoma (KB); hence, this stu...

Hourly photosynthetically active radiation estimation in Midwestern United States from artificial neural networks and conventional regressions models.

The relationship between hourly photosynthetically active radiation (PAR) and the global solar radiation (R s ) was analyzed from data gathered over 3...

Effects of long-term folate supplementation on metabolic status and regression of cervical intraepithelial neoplasia: A randomized, double-blind, placebo-controlled trial.

OBJECTIVE: This study was conducted to determine the effects of long-term folate supplementation on regression and metabolic status of patients with c...

Ureteral Metastasis Secondary to Prostate Cancer: A Case Report.

Prostate cancer is very frequent, but secondary ureteral metastasis are extremely rare. We present a 55 year old man with a 2 month history of right f...

Laparoscopic para-aortic lymph node dissection for patients with primary colorectal cancer and clinically suspected para-aortic lymph nodes.

PURPOSE: Treatment of patients with para-aortic lymph node metastasis from colorectal cancer is controversial. The goal of this study was to investiga...

Downregulation of serum DKK-1 predicts poor prognosis in patients with papillary thyroid cancer.

The Wnt inhibitor dickkopf-1 (DKK-1) has been shown to be closely correlated with tumor initiation and progression in various types of cancers. Howeve...

Serum Dickkopf-1 levels as a clinical and prognostic factor in patients with bladder cancer.

Dickkopf-1 (DKK-1) is a secreted protein that inhibits Wnt signaling. However, the clinical significance and prognostic value of serum DKK-1 levels ha...

Selective Toxicity of Persian Gulf Sea Cucumber (Holothuria parva) and Sponge (Haliclona oculata) Methanolic Extracts on Liver Mitochondria Isolated from an Animal Model of Hepatocellular Carcinoma.

BACKGROUND: Natural products isolated from marine environments are well known for their pharmacodynamic potential in diverse disease treatments, such ...

Antibacterial and Cytotoxic Activity of Compounds Isolated from Flourensia oolepis.

The antibacterial and cytotoxic effects of metabolites isolated from an antibacterial extract of Flourensia oolepis were evaluated. Bioguided fraction...