keyword
MENU ▼
Read by QxMD icon Read
search

mathematical medicine

keyword
https://www.readbyqxmd.com/read/28430854/dynamic-modeling-and-network-approaches-for-omics-time-course-data-overview-of-computational-approaches-and-applications
#1
Yulan Liang, Arpad Kelemen
Inferring networks and dynamics of genes, proteins, cells and other biological entities from high-throughput biological omics data is a central and challenging issue in computational and systems biology. This is essential for understanding the complexity of human health, disease susceptibility and pathogenesis for Predictive, Preventive, Personalized and Participatory (P4) system and precision medicine. The delineation of the possible interactions of all genes/proteins in a genome/proteome is a task for which conventional experimental techniques are ill suited...
April 18, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/28417080/applying-a-systems-approach-to-thyroid-physiology-looking-at-the-whole-with-a-mitochondrial-perspective-instead-of-judging-single-tsh-values-or-why-we-should-know-more-about-mitochondria-to-understand-metabolism
#2
REVIEW
Roy Moncayo, Helga Moncayo
Classical thinking in endocrine physiology squeezes our diagnostic handling into a simple negative feedback mechanism with a controller and a controlled variable. In the case of the thyroid this is reduced to TSH and fT3 and fT4, respectively. The setting of this tight notion has no free space for any additions. In this paper we want to challenge this model of limited application by proposing a construct based on a systems approach departing from two basic considerations. In first place since the majority of cases of thyroid disease develop and appear during life it has to be considered as an acquired condition...
June 2017: BBA Clinical
https://www.readbyqxmd.com/read/28389624/modeling-therapeutic-response-to-radioiodine-in-metastatic-thyroid-cancer-a%C3%A2-proof-of-concept-study-for-individualized-medicine
#3
Dominique Barbolosi, Ilyssa Summer, Christophe Meille, Raphaël Serre, Antony Kelly, Slimane Zerdoud, Claire Bournaud, Claire Schvartz, Michel Toubeau, Marie-Elisabeth Toubert, Isabelle Keller, David Taïeb
PURPOSE: Radioiodine therapy (RAI) has traditionally been used as treatment for metastatic thyroid cancer, based on its ability to concentrate iodine. Propositions to maximize tumor response with minimizing toxicity, must recognize the infinite possibilities of empirical tests. Therefore, an approach of this study was to build a mathematical model describing tumor growth with the kinetics of thyroglobulin (Tg) concentrations over time, following RAI for metastatic thyroid cancer. EXPERIMENTAL DESIGN: Data from 50 patients with metastatic papillary thyroid carcinoma treated within eight French institutions, followed over 3 years after initial RAI treatments, were included in the model...
March 29, 2017: Oncotarget
https://www.readbyqxmd.com/read/28389343/small-world-human-brain-networks-perspectives-and-challenges
#4
REVIEW
Xuhong Liao, Athanasios V Vasilakos, Yong He
Modelling the human brain as a complex network has provided a powerful mathematical framework to characterize the structural and functional architectures of the brain. In the past decade, the combination of non-invasive neuroimaging techniques and graph theoretical approaches enable us to map human structural and functional connectivity patterns (i.e., connectome) at the macroscopic level. One of the most influential findings is that human brain networks exhibit prominent small-world organization. Such a network architecture in the human brain facilitates efficient information segregation and integration at low wiring and energy costs, which presumably results from natural selection under the pressure of a cost-efficiency balance...
April 5, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28377724/toward-precision-healthcare-context-and-mathematical-challenges
#5
Caroline Colijn, Nick Jones, Iain G Johnston, Sophia Yaliraki, Mauricio Barahona
Precision medicine refers to the idea of delivering the right treatment to the right patient at the right time, usually with a focus on a data-centered approach to this task. In this perspective piece, we use the term "precision healthcare" to describe the development of precision approaches that bridge from the individual to the population, taking advantage of individual-level data, but also taking the social context into account. These problems give rise to a broad spectrum of technical, scientific, policy, ethical and social challenges, and new mathematical techniques will be required to meet them...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28377182/a-biophysical-approach-to-cancer-dynamics-quantum-chaos-and-energy-turbulence
#6
REVIEW
Abicumaran Uthamacumaran
Cancer is a term used to define a collective set of rapidly evolving cells with immortalized replication, altered epimetabolomes and patterns of longevity. Identifying a common signaling cascade to target all cancers has been a major obstacle in medicine. A quantum dynamic framework has been established to explain mutation theory, biological energy landscapes, cell communication patterns and the cancer interactome under the influence of quantum chaos. Quantum tunneling in mutagenesis, vacuum energy field dynamics, and cytoskeletal networks in tumor morphogenesis have revealed the applicability for description of cancer dynamics, which is discussed with a brief account of endogenous hallucinogens, bioelectromagnetism and water fluctuations...
April 1, 2017: Bio Systems
https://www.readbyqxmd.com/read/28376237/use-of-image-registration-and-fusion-algorithms-and-techniques-in-radiotherapy-report-of-the-aapm-radiation-therapy-committee-task-group-no-132
#7
Kristy K Brock, Sasa Mutic, Todd R McNutt, Hua Li, Marc L Kessler
Image registration and fusion algorithms exist in almost every software system that creates or uses images in radiotherapy. Most treatment planning systems support some form of image registration and fusion to allow the use of multimodality and time-series image data and even anatomical atlases to assist in target volume and normal tissue delineation. Treatment delivery systems perform registration and fusion between the planning images and the in-room images acquired during the treatment to assist patient positioning...
April 4, 2017: Medical Physics
https://www.readbyqxmd.com/read/28369182/system-pharmacogenomics-application-in-infectious-diseases
#8
Vineetha Mandlik, Ritika Kabra, Shailza Singh
The new era in systems pharmacology has revolutionized the human biology. Its applicability, precise treatment, adequate response and safety measures fit into all the paradigm of medical/clinical practice. The importance of mathematical models in understanding the disease pathology and epideomology is now being realized. The advent of high-throughput technologies and the emergence of systems biology have resulted in the creation of systems pharmacogenomics and the focus is now on personalized medicine. However, there are some regulatory issues that need to be addresssed; are we ready for this universal adoption? This article details some of the infectious disease pharmacogenomics to the developments in this area...
March 21, 2017: Briefings in Functional Genomics
https://www.readbyqxmd.com/read/28325225/-unconventional-experiments-in-biology-and-medicine-with-optimized-design-based-on-quantum-like-correlations
#9
Francis Beauvais
In previous articles, a description of 'unconventional' experiments (e.g. in vitro or clinical studies based on high dilutions, 'memory of water' or homeopathy) using quantum-like probability was proposed. Because the mathematical formulations of quantum logic are frequently an obstacle for physicians and biologists, a modified modeling that rests on classical probability is described in the present article. This modeling is inspired from a relational interpretation of quantum physics that applies not only to microscopic objects, but also to macroscopic structures, including experimental devices and observers...
February 2017: Homeopathy: the Journal of the Faculty of Homeopathy
https://www.readbyqxmd.com/read/28273479/systems-biology-of-metabolism-a-driver-for-developing-personalized-and-precision-medicine
#10
REVIEW
Jens Nielsen
Systems biology uses mathematical models to analyze large datasets and simulate system behavior. It enables integrative analysis of different types of data and can thereby provide new insight into complex biological systems. Here will be discussed the challenges of using systems medicine for advancing the development of personalized and precision medicine to treat metabolic diseases like insulin resistance, obesity, NAFLD, NASH, and cancer. It will be illustrated how the concept of genome-scale metabolic models can be used for integrative analysis of big data with the objective of identifying novel biomarkers that are foundational for personalized and precision medicine...
March 7, 2017: Cell Metabolism
https://www.readbyqxmd.com/read/28255558/buparvaquone-nanostructured-lipid-carrier-development-of-an-affordable-delivery-system-for-the-treatment-of-leishmaniases
#11
Lis Marie Monteiro, Raimar Löbenberg, Paulo Cesar Cotrim, Gabriel Lima Barros de Araujo, Nádia Bou-Chacra
Buparvaquone (BPQ), a veterinary drug, was formulated as nanostructured lipid carriers (NLC) for leishmaniases treatment. The formulation design addressed poor water solubility of BPQ and lack of human drug delivery system. The DSC/TG and microscopy methods were used for solid lipids screening. Softisan® 154 showed highest BPQ solubility in both methods. The BPQ solubility in liquid lipids using HPLC revealed Miglyol® 812 as the best option. Response surface methodology (RSM) was used to identify the optimal Softisan154 : Miglyol 812 ratios (7 : 10 to 2 : 1) and Kolliphor® P188 and Tween® 80 concentration (>3...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28230815/conceptual-foundations-of-systems-biology-explaining-complex-cardiac-diseases
#12
REVIEW
George E Louridas, Katerina G Lourida
Systems biology is an important concept that connects molecular biology and genomics with computing science, mathematics and engineering. An endeavor is made in this paper to associate basic conceptual ideas of systems biology with clinical medicine. Complex cardiac diseases are clinical phenotypes generated by integration of genetic, molecular and environmental factors. Basic concepts of systems biology like network construction, modular thinking, biological constraints (downward biological direction) and emergence (upward biological direction) could be applied to clinical medicine...
February 21, 2017: Healthcare (Basel, Switzerland)
https://www.readbyqxmd.com/read/28222860/highly-efficient-chiral-separation-of-amlodipine-enantiomers-via-triple-recognition-hollow-fiber-membrane-extraction
#13
Shenzhi Lai, Shaotan Tang, Jiaqi Xie, Changqun Cai, Xiaoming Chen, Chunyan Chen
In this study, a triple recognition chiral extraction process has been developed to separate (S)-amlodipine from racemic raw medicine, based on the combination of molecularly imprinted hollow fiber membrane and cross-flow biphasic recognition extraction. The chiral separation process was operated in a dismountable hollow fiber module coated with molecularly imprinted polymer, and the cross-flow extraction was applied with d-tartaric acid in feed phase and sulfobutyl ether-β-cyclodextrin in stripping phase...
February 14, 2017: Journal of Chromatography. A
https://www.readbyqxmd.com/read/28218249/complexity-variability-assessment-of-nonlinear-time-varying-cardiovascular-control
#14
Gaetano Valenza, Luca Citi, Ronald G Garcia, Jessica Noggle Taylor, Nicola Toschi, Riccardo Barbieri
The application of complex systems theory to physiology and medicine has provided meaningful information about the nonlinear aspects underlying the dynamics of a wide range of biological processes and their disease-related aberrations. However, no studies have investigated whether meaningful information can be extracted by quantifying second-order moments of time-varying cardiovascular complexity. To this extent, we introduce a novel mathematical framework termed complexity variability, in which the variance of instantaneous Lyapunov spectra estimated over time serves as a reference quantifier...
February 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28166081/the-art-of-pharmacotherapy-reflections-on-pharmacophobia
#15
Jose de Leon, Carlos De Las Cuevas
PURPOSE/BACKGROUND: This commentary deals with the neglected issue of the art of psychopharmacology by recounting the authors' journeys. METHODS/PROCEDURES: First, a model of medical science situated within the history of medicine is described including (1) a limitation of the mathematical model of science, (2) the distinction between mechanistic science and mathematical science, (3) how this distinction is applied to medicine, and (4) how this distinction is applied to explain pharmacology to psychiatrists...
February 3, 2017: Journal of Clinical Psychopharmacology
https://www.readbyqxmd.com/read/28150316/facilitate-treatment-adjustment-after-overdosing-another-step-toward-21st-century-medicine
#16
Gilbert Koch, Johannes Schropp, Marc Pfister
Overdosing occurs frequently because of prescription errors in neonates, infants, children, adolescents, and adults. Currently there is no quantitative approach that can be used by clinicians to adjust dosing so that toxic drug concentrations can be brought back to levels observed with safe and efficacious therapeutic doses. We present a mathematical solution that offers the time between last overdosing and next therapeutic dose to achieve therapeutic drug concentrations as soon as possible. To facilitate applications of this solution in clinical practice, a minimal amount of information has to be provided, and no simulations are necessary to compute the optimal waiting time...
February 2, 2017: Journal of Clinical Pharmacology
https://www.readbyqxmd.com/read/28132437/graph-based-optimization-of-epitope-coverage-for-vaccine-antigen-design
#17
James Theiler, Bette Korber
Epigraph is a recently developed algorithm that enables the computationally efficient design of single or multi-antigen vaccines to maximize the potential epitope coverage for a diverse pathogen population. Potential epitopes are defined as short contiguous stretches of proteins, comparable in length to T-cell epitopes. This optimal coverage problem can be formulated in terms of a directed graph, with candidate antigens represented as paths that traverse this graph. Epigraph protein sequences can also be used as the basis for designing peptides for experimental evaluation of immune responses in natural infections to highly variable proteins...
January 29, 2017: Statistics in Medicine
https://www.readbyqxmd.com/read/28120903/optimal-down-regulation-of-mrna-translation
#18
Yoram Zarai, Michael Margaliot, Tamir Tuller
Down regulation of mRNA translation is an important problem in various bio-medical domains ranging from developing effective medicines for tumors and for viral diseases to developing attenuated virus strains that can be used for vaccination. Here, we study the problem of down regulation of mRNA translation using a mathematical model called the ribosome flow model (RFM). In the RFM, the mRNA molecule is modeled as a chain of n sites. The flow of ribosomes between consecutive sites is regulated by n + 1 transition rates...
January 25, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28094427/minimalism-in-art-medical-science-and-neurosurgery
#19
Ali İhsan Ökten
The word ''minimalism'' is a word derived from French the word ''minimum''. Whereas the lexical meaning of minimum is ''the least or the smallest quantity necessary for something'', its expression in mathematics can be described as ''the lowest step a variable number can descend, least, minimal''. Minimalism, which advocates an extreme simplicity of the artistic form, is a current in modern art and music whose origins go to 1960s and which features simplicity and objectivity. Although art, science and philosophy are different disciplines, they support each other from time to time, sometimes they intertwine and sometimes they copy each other...
December 21, 2016: Turkish Neurosurgery
https://www.readbyqxmd.com/read/28092955/flow-optimization-in-vascular-networks
#20
Radu C Cascaval, Ciro D'Apice, Maria Pia D'Arienzo, Rosanna Manzo
The development of mathematical models for studying phenomena observed in vascular networks is very useful for its potential applications in medicine and physiology. Detailed 3D studies of flow in the arterial system based on the Navier-Stokes equations require high computational power, hence reduced models are often used, both for the constitutive laws and the spatial domain. In order to capture the major features of the phenomena under study, such as variations in arterial pressure and flow velocity, the resulting PDE models on networks require appropriate junction and boundary conditions...
June 1, 2017: Mathematical Biosciences and Engineering: MBE
keyword
keyword
120559
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"