Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

93 results for “Clinical Experiment”

Set a search alert
Research ArticleOpen accessAll words, across the recordDrug-Protein Interactions for Clinical Research by Nucleic Acid Programmable Protein Arrays-Quartz Crystal Microbalance with Dissipation Factor Monitoring Nanoconductometric AssayClaudio Nicolini, Rosanna Spera, Nicola Luigi Bragazzi, Eugenia PechkovaConductometric monitoring of drug-gene and drug-protein interactions is of fundamental importance in the field of molecular pharmacology. Here, we present our main findings and characterizations of an important antiblastic used in neuro-oncology (Temozolomide), interacting with selected proteins that represent predictive biomarkers of the rate survival of the patients, of the outcome of chemotherapy and resistance to drug itself (namely, BRIP1 … …American Journal of Biochemistry and Biotechnology, Vol. 10, Issue 3 · 17 Nov 2014 · 8,506 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCLINICAL EXPERIENCE OF CANCER IMMUNOTHERAPY INTEGRATED WITH OLEIC ACID COMPLEXED WITH DE-GLYCOSYLATED VITAMIN D BINDING PROTEINEmma Ward, Rodney Smith, Jacopo J.V. Branca et al.Proteins highly represented in milk such as α-lactalbumin and lactoferrin bind Oleic Acid (OA) to form complexes with selective anti-tumor activity. A protein present in milk, colostrum and blood, vitamin D binding protein is the precursor of a potent Macrophage Activating Factor (GcMAF) and in analogy with other OA-protein complexes, we proposed that OA-GcMAF could demonstrate a greater immunotherapeutic activity … …American Journal of Immunology, Vol. 10, Issue 1 · 8 Mar 2014 · 13,186 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUsing Feature Selection as Accuracy Benchmarking in Clinical Data MiningJafreen Hossain, Nor FazlidaMohdSani, Aida Mustapha, Lilly SurianiAffendeyAutomated prediction of new patients’ disease diagnosis based on data mining analysis on historical data is proven to be an extremely useful tool in the medical innovation. There are several studies focusing on this particular aspect. The objective of this study is two-fold. First, we look into three different classifiers, which are the Naïve Bayes, Multilayer Perceptron (MLP) and Decision … …Journal of Computer Science, Vol. 9, Issue 7 · 20 Jun 2013 · 7,460 accessesView PDFCite