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https://www.readbyqxmd.com/read/29331859/development-of-a-method-to-determine-axitinib-lapatinib-and-afatinib-in-plasma-by-micellar-liquid-chromatography-and-validation-by-the-european-medicines-agency-guidelines
#1
Jaume Albiol-Chiva, Josep Esteve-Romero, Juan Peris-Vicente
A method based on micellar liquid chromatography to quantify the tyrosine kinase inhibitors axitinib, lapatinib and afatinib in plasma is reported. The sample pretreatment was a simple 1/5-dilution in a pure micellar solution, filtration and direct injection, without requiring extraction or purification steps. The three drugs were resolved from the matrix in 17min, using an aqueous solution of 0.07M sodium dodecyl sulfate - 6.0% 1-pentanol, buffered at pH7 with 0.01M phosphate salt as mobile phase, running under isocratic mode at 1mL/min through a C18 column...
January 2, 2018: Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
https://www.readbyqxmd.com/read/29319275/undertaking-drug-calculations-for-intravenous-medicines-and-infusions
#2
Jane Brindley
Drug calculations for intravenous (IV) medicines and infusions are more complex than those for oral medicines. This article aims to assist nurses in evaluating and improving their competence in undertaking drug calculations for the IV route. Although nurses enter the professional register with an assessed level of medicines competence, nursing is a dynamic profession and competency can decrease over time, with literature demonstrating that nurses often have suboptimal drug calculation skills. This article enables nursing students to enhance their knowledge and understanding of IV drug calculations, and registered nurses to revisit this essential nursing skill...
January 10, 2018: Nursing Standard
https://www.readbyqxmd.com/read/29304189/metabolomics-technology-and-bioinformatics-for-precision-medicine
#3
Rajeev K Azad, Vladimir Shulaev
Precision medicine is rapidly emerging as a strategy to tailor medical treatment to a small group or even individual patients based on their genetics, environment and lifestyle. Precision medicine relies heavily on developments in systems biology and omics disciplines, including metabolomics. Combination of metabolomics with sophisticated bioinformatics analysis and mathematical modeling has an extreme power to provide a metabolic snapshot of the patient over the course of disease and treatment or classifying patients into subpopulations and subgroups requiring individual medical treatment...
January 3, 2018: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/29300386/modeling-the-acmg-amp-variant-classification-guidelines-as-a-bayesian-classification-framework
#4
Sean V Tavtigian, Marc S Greenblatt, Steven M Harrison, Robert L Nussbaum, Snehit A Prabhu, Kenneth M Boucher, Leslie G Biesecker
PurposeWe evaluated the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) variant pathogenicity guidelines for internal consistency and compatibility with Bayesian statistical reasoning.MethodsThe ACMG/AMP criteria were translated into a naive Bayesian classifier, assuming four levels of evidence and exponentially scaled odds of pathogenicity. We tested this framework with a range of prior probabilities and odds of pathogenicity.ResultsWe modeled the ACMG/AMP guidelines using biologically plausible assumptions...
January 4, 2018: Genetics in Medicine: Official Journal of the American College of Medical Genetics
https://www.readbyqxmd.com/read/29288891/thermal-heterogeneity-within-aqueous-materials-quantified-by-1h-nmr-spectroscopy-multiparametric-validation-in-silico-and-in-vitro
#5
Norbert W Lutz, Monique Bernard
We recently suggested a new paradigm for statistical analysis of thermal heterogeneity in (semi-)aqueous materials by 1H NMR spectroscopy, using water as a temperature probe. Here, we present a comprehensive in silico and in vitro validation that demonstrates the ability of this new technique to provide accurate quantitative parameters characterizing the statistical distribution of temperature values in a volume of (semi-)aqueous matter. First, line shape parameters of numerically simulated water 1H NMR spectra are systematically varied to study a range of mathematically well-defined temperature distributions...
December 21, 2017: Journal of Magnetic Resonance
https://www.readbyqxmd.com/read/29285341/simulating-a-virtual-population-s-sensitivity-to-salt-and-uninephrectomy
#6
John S Clemmer, Robert L Hester, W Andrew Pruett
Salt sensitivity, with or without concomitant hypertension, is associated with increased mortality. Reduced functional renal mass plays an important role in causing salt-sensitive hypertension for many individuals. Factors that are important in the condition of decreased renal mass and how they affect blood pressure (BP) or salt sensitivity are unclear. We used HumMod, an integrative mathematical model of human physiology, to create a heterogeneous population of 1000 virtual patients by randomly varying physiological parameters...
February 6, 2018: Interface Focus
https://www.readbyqxmd.com/read/29276071/enhancement-of-force-patterns-classification-based-on-gaussian-distributions
#7
Thomas Ertelt, Ilja Solomonovs, Thomas Gronwald
Description of the patterns of ground reaction force is a standard method in areas such as medicine, biomechanics and robotics. The fundamental parameter is the time course of the force, which is classified visually in particular in the field of clinical diagnostics. Here, the knowledge and experience of the diagnostician is relevant for its assessment. For an objective and valid discrimination of the ground reaction force pattern, a generic method, especially in the medical field, is absolutely necessary to describe the qualities of the time-course...
December 13, 2017: Journal of Biomechanics
https://www.readbyqxmd.com/read/29249974/computational-modeling-in-liver-surgery
#8
REVIEW
Bruno Christ, Uta Dahmen, Karl-Heinz Herrmann, Matthias König, Jürgen R Reichenbach, Tim Ricken, Jana Schleicher, Lars Ole Schwen, Sebastian Vlaic, Navina Waschinsky
The need for extended liver resection is increasing due to the growing incidence of liver tumors in aging societies. Individualized surgical planning is the key for identifying the optimal resection strategy and to minimize the risk of postoperative liver failure and tumor recurrence. Current computational tools provide virtual planning of liver resection by taking into account the spatial relationship between the tumor and the hepatic vascular trees, as well as the size of the future liver remnant. However, size and function of the liver are not necessarily equivalent...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/29239153/time-to-change-the-classical-vision-of-coagulation-in-liver-disease-from-the-balance-disequilibrium-to-the-systems-biology-network-modelling
#9
Annabel Blasi, Joan C Reverter
The longstanding dogma that patients with liver disease have a hemostasis related bleeding tendency is neglected from the last 10 years however, despite this tremendous change of paradigm no longer progress had been made in this field. A mathematical model is a description of a system using mathematical concepts and language. Mathematical models are able to analyze large amount of data and they can make predictions about behavior. Mathematical models are used in the social sciences, engineering as well as in medicine...
December 13, 2017: Minerva Anestesiologica
https://www.readbyqxmd.com/read/29237237/clinical-judgement-in-the-era-of-big-data-and-predictive-analytics
#10
Benjamin Chin-Yee, Ross Upshur
Clinical judgement is a central and longstanding issue in the philosophy of medicine which has generated significant interest over the past few decades. In this article, we explore different approaches to clinical judgement articulated in the literature, focusing in particular on data-driven, mathematical approaches which we contrast with narrative, virtue-based approaches to clinical reasoning. We discuss the tension between these different clinical epistemologies and further explore the implications of big data and machine learning for a philosophy of clinical judgement...
December 13, 2017: Journal of Evaluation in Clinical Practice
https://www.readbyqxmd.com/read/29231878/greek-medicine-practice-at-ancient-rome-the-physician-molecularist-asclepiades
#11
Luigi Santacroce, Lucrezia Bottalico, Ioannis Alexandros Charitos
Background: In the pre-Hellenistic period, the concept of medicine was not well-defined. Usually, a disease was considered as a divine punishment and its treatment was devolved to the priests who asked for healing from the divinities. The only job that could be compared to medical practice was a kind of itinerant medicine, derived from the Egyptian therapeutic tradition based only on practical experience and performed by people that knew a number of remedies, mostly vegetable, but without any theoretical bases about the possible mechanisms of action...
December 12, 2017: Medicines (Basel, Switzerland)
https://www.readbyqxmd.com/read/29231145/learning-from-multiple-classifier-systems-perspectives-for-improving-decision-making-of-qsar-models-in-medicinal-chemistry
#12
Hai V Pham-The, Nguyen-Hai Nam, Doan-Viet Nga, Dang Thanh Hai, Karel Dieguez-Santana, Yovani Marrero-Poncee, Juan A Castillo-Garit, Gerardo M Casanola-Martin, Huong Le-Thi-Thu
Quantitative Structure - Activity Relationship (QSAR) modeling has been widely used in medicinal chemistry and computational toxicology for many years. Today, as the amount of data on chemicals is increasing dramatically, QSAR methods have become pivotal for the purpose of handling the data, identifying a decision, and gathering useful information from data processing. The advances in this field have paved a way for numerous alternative approaches that require deep mathematics in order to enhance the learning capability of QSAR models...
December 11, 2017: Current Topics in Medicinal Chemistry
https://www.readbyqxmd.com/read/29226975/mathematical-modeling-and-simulation-in-animal-health-part-iii-using-nonlinear-mixed-effects-to-characterize-and-quantify-variability-in-drug-pharmacokinetics
#13
REVIEW
C Bon, P L Toutain, D Concordet, R Gehring, T Martin-Jimenez, J Smith, L Pelligand, M Martinez, T Whittem, J E Riviere, J P Mochel
A common feature of human and veterinary pharmacokinetics is the importance of identifying and quantifying the key determinants of between-patient variability in drug disposition and effects. Some of these attributes are already well known to the field of human pharmacology such as bodyweight, age, or sex, while others are more specific to veterinary medicine, such as species, breed, and social behavior. Identification of these attributes has the potential to allow a better and more tailored use of therapeutic drugs both in companion and food-producing animals...
December 11, 2017: Journal of Veterinary Pharmacology and Therapeutics
https://www.readbyqxmd.com/read/29218269/blood-based-biomarkers-for-precision-medicine-in-lung-cancer-precision-radiation-therapy
#14
REVIEW
Dirk De Ruysscher, Jianyue Jin, Tim Lautenschlaeger, Jin-Xiong She, Zhongxing Liao, Feng-Ming Spring Kong
Both tumors and patients are complex and models that determine survival and toxicity of radiotherapy or any other treatment ideally must take into account this variability as well as its dynamic state. The genetic features of the tumor and the host, and increasingly also the epi-genetic and proteomic characteristics, are being unraveled. Multiple techniques, including histological examination, blood sampling, measurement of circulating tumor cells (CTCs), and functional and molecular imaging, can be used for this purpose...
December 2017: Translational Lung Cancer Research
https://www.readbyqxmd.com/read/29218267/radiomics-in-precision-medicine-for-lung-cancer
#15
REVIEW
Julie Constanzo, Lise Wei, Huan-Hsin Tseng, Issam El Naqa
With the improvement of external radiotherapy delivery accuracy, such as intensity-modulated and stereotactic body radiation therapy, radiation oncology has recently entered in the era of precision medicine. Despite these precise irradiation modalities, lung cancers remain one of the most aggressive human cancers worldwide, possibly because of diverse genotypic alterations that drive and maintain lung tumorigenesis. It has been long recognized that imaging could aid in the diagnosis, tumor delineation, and monitoring of lung cancer...
December 2017: Translational Lung Cancer Research
https://www.readbyqxmd.com/read/29194464/computer-aided-biomarker-discovery-for-precision-medicine-data-resources-models-and-applications
#16
Yuxin Lin, Fuliang Qian, Li Shen, Feifei Chen, Jiajia Chen, Bairong Shen
Biomarkers are a class of measurable and evaluable indicators with the potential to predict disease initiation and progression. In contrast to disease-associated factors, biomarkers hold the promise to capture the changeable signatures of biological states. With methodological advances, computer-aided biomarker discovery has now become a burgeoning paradigm in the field of biomedical science. In recent years, the 'big data' term has accumulated for the systematical investigation of complex biological phenomena and promoted the flourishing of computational methods for systems-level biomarker screening...
November 29, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/29180308/evidence-based-medicine-pandora-s-box-of-medical-and-surgical-treatment-of-endometriosis
#17
EDITORIAL
Philippe R Koninckx, Anastasia Ussia, Jorg Keckstein, Leila Adamian, Errico Zupi, Arnaud Wattiez, Victor Gomel
Evidence based medical and surgical therapies of endometriosis remain debated. A discussion of their limitations and pitfalls might help the clinician. Statistical evidence, including the RCT, is the probability that the means of 2 populations or therapies are different. Since the accuracy of the estimation of the mean increases with sample size, significance increases with sample size. Mathematical significance however may not indicate clinical usefulness since this requires some magnitude of the effect. In addition, results are valid only for the group investigated as defined in inclusion and exclusion criteria...
November 24, 2017: Journal of Minimally Invasive Gynecology
https://www.readbyqxmd.com/read/29161850/preface
#18
Daozhou Gao, Shigui Ruan, Jifa Jiang
In the new century, with rapid population growth, large-scale urbanization, global warming and many other factors, we are facing unprecedented ecological, health, social, and other challenges and issues. These include biological invasion, environmental degradation, sharp increase in cancer morbidity, high frequency of emerging and re-emerging infectious diseases, which pose a grave threat to biological diversity, public health, economic development and so on. Based on the solid research in population dynamics and disease dynamics, mathematical modeling, analysis and simulation have been widely used over the past decades to study various problems in life sciences and medicine, from the expression of gene sequence to the pathogenesis of cancer, from the control of molecular organisms to the resistance of bacteria and viruses, from immune response to diseases to the design and evaluation of treatments, and so on...
October 2017: Mathematical Biosciences and Engineering: MBE
https://www.readbyqxmd.com/read/29157366/culling-from-the-actors-perspectives-decision-making-criteria-for-culling-in-qu%C3%A3-bec-dairy-herds-enrolled-in-a-veterinary-preventive-medicine-program
#19
Denis Haine, Roger Cue, Asheber Sewalem, Kevin Wade, René Lacroix, Daniel Lefebvre, Jonathan Rushton, Julie Arsenault, Émile Bouchard, Jocelyn Dubuc
The series of events leading to the decision to cull a cow is complex, involving both individual-level and herd-level factors. While the decision is guided by financial returns, it is also influenced by social and psychological factors. Research studies on the motivational and behavioural aspects of farmers' decision utility are sparse, and nonexistent regarding culling expectations and its decision process. Our goal was to identify shared criteria on culling decisions held by dairy producers and farm advisers, with the help of the Q-methodology...
December 1, 2017: Preventive Veterinary Medicine
https://www.readbyqxmd.com/read/29157229/computer-model-for-the-cardiovascular-system-development-of-an-e-learning-tool-for-teaching-of-medical-students
#20
David Roy Warriner, Martin Bayley, Yubing Shi, Patricia Victoria Lawford, Andrew Narracott, John Fenner
BACKGROUND: This study combined themes in cardiovascular modelling, clinical cardiology and e-learning to create an on-line environment that would assist undergraduate medical students in understanding key physiological and pathophysiological processes in the cardiovascular system. METHODS: An interactive on-line environment was developed incorporating a lumped-parameter mathematical model of the human cardiovascular system. The model outputs were used to characterise the progression of key disease processes and allowed students to classify disease severity with the aim of improving their understanding of abnormal physiology in a clinical context...
November 21, 2017: BMC Medical Education
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