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mathematical medicine

Valery Muzhikov, Elena Vershinina, Ruslan Muzhikov, Kirill Nikitin
BACKGROUND: Type 2 diabetes (T2D) is a socially significant disease that affects millions of patients. There were an estimated 366 million people with this disease in 2011, and, according to the forecast, approximately 552 million will be affected by this disease in 2030. It is well known that the primary diagnosis and treatment of a patient with this disease are quite expensive. What should be done to make it possible for a patient to monitor his own state and provide treatment in his own home using telemedicine? To solve this problem, an alternative concept for the diagnosis, monitoring, and treatment at the basis of traditional Chinese medicine (TCM) combined with mathematical methods of data processing has been used...
May 18, 2018: Journal of Acupuncture and Meridian Studies
Katja Pinker, Joanne Chin, Amy N Melsaether, Elizabeth A Morris, Linda Moy
Precision medicine is medicine optimized to the genotypic and phenotypic characteristics of an individual and, when present, his or her disease. It has a host of targets, including genes and their transcripts, proteins, and metabolites. Studying precision medicine involves a systems biology approach that integrates mathematical modeling and biology genomics, transcriptomics, proteomics, and metabolomics. Moreover, precision medicine must consider not only the relatively static genetic codes of individuals, but also the dynamic and heterogeneous genetic codes of cancers...
June 2018: Radiology
Manfred Henrich, Svenja Scheffold, Werner Hecht, Manfred Reinacher
Analysis of clonality is gaining importance in diagnosing lymphomas in veterinary medicine. Usually, PCR for the analysis of antigen receptor rearrangement (PARR) is followed by electrophoretic separation of the PCR products. Aim of this study was to test the feasibility of HRM for the assessment of clonality in B-cell lymphomas of cats. High resolution melting analysis differentiates PCR products by their different melting point using the decrease in fluorescence of an intercalating dye during melting of the PCR product...
June 2018: Veterinary Immunology and Immunopathology
R J Seager, Andrew J Acevedo, Fabian Spill, Muhammad H Zaman
The processes of dissolution and fragmentation have high relevance in pharmaceutical research, medicine, digestive physiology, and engineering design. Experimentally, dissolution and fragmentation are observed to occur simultaneously, yet little is known about the relative importance of each of these processes and their impact on the dissolution process as a whole. Thus, in order to better explain these phenomena and the manner in which they interact, we have developed a novel mathematical model of dissolution, based on partial differential equations, taking into consideration the two constituent processes of surface area-dependent diffusive mass removal and physical fragmentation of the solid particles, and the basic physical laws governing these processes...
May 16, 2018: Scientific Reports
Waleed M S Al Qahtani, Mohamed I El-Anwar
A novel partnership between surgeons and machines, made possible by advances in computing and engineering technology, could overcome many of the limitations of traditional surgery. By extending surgeons' ability to plan and carry out surgical interventions more accurately and with fewer traumas, computer-integrated surgery (CIS) systems could help to improve clinical outcomes and the efficiency of healthcare delivery. CIS systems could have a similar impact on surgery to that long since realised in computer-integrated manufacturing...
April 15, 2018: Open Access Macedonian Journal of Medical Sciences
Konstantinos Sechidis, Konstantinos Papangelou, Paul D Metcalfe, David Svensson, James Weatherall, Gavin Brown
Motivation: The identification of biomarkers to support decision-making is central to personalised medicine, in both clinical and research scenarios. The challenge can be seen in two halves: identifying predictive markers, which guide the development/use of tailored therapies; and identifying prognostic markers, which guide other aspects of care and clinical trial planning, i.e. prognostic markers can be considered as covariates for stratification. Mistakenly assuming a biomarker to be predictive, when it is in fact largely prognostic (and vice-versa) is highly undesirable, and can result in financial, ethical and personal consequences...
May 2, 2018: Bioinformatics
Yu-Tian Zhang, Mei-Feng Xiao, Kai-Wen Deng, Yan-Tao Yang, Yi-Qun Zhou, Jin Zhou, Fu-Yuan He, Wen-Long Liu
BACKGROUND: Nowadays, to research and formulate an efficiency extraction system for Chinese herbal medicine, scientists have always been facing a great challenge for quality management, so that the transitivity of Q-markers in quantitative analysis of TCM was proposed by Prof. Liu recently. In order to improve the quality of extraction from raw medicinal materials for clinical preparations, a series of integrated mathematic models for transitivity of Q-markers in quantitative analysis of TCM were established...
April 6, 2018: Phytomedicine: International Journal of Phytotherapy and Phytopharmacology
Maria Concetta Palumbo, Micaela Morettini, Paolo Tieri, Fasma Diele, Massimo Sacchetti, Filippo Castiglione
The beneficial effects of physical activity for the prevention and management of several chronic diseases are widely recognized. Mathematical modeling of the effects of physical exercise in body metabolism and in particular its influence on the control of glucose homeostasis is of primary importance in the development of eHealth monitoring devices for a personalized medicine. Nonetheless, to date only a few mathematical models have been aiming at this specific purpose. We have developed a whole-body computational model of the effects on metabolic homeostasis of a bout of physical exercise...
April 2018: PLoS Computational Biology
Shery Jacob, Anroop B Nair
Preclinical Research & Development An in vitro-in vivo correlation (IVIVC) is as a predictive mathematical model that demonstrates a key role in the development, advancement, evaluation and optimization of extended release, modified release and immediate release pharmaceutical formulations. A validated IVIVC model can serve as a surrogate for bioequivalence studies and subsequently save time, effort and expenditure during pharmaceutical product development. This review discusses about different levels of correlations, general approaches to develop an IVIVC by mathematical modelling, validation, data analysis and various applications...
April 26, 2018: Drug Development Research
Maryam Pouryahya, Jung Hun Oh, James C Mathews, Joseph O Deasy, Allen R Tannenbaum
In the present work, we apply a geometric network approach to study common biological features of anticancer drug response. We use for this purpose the panel of 60 human cell lines (NCI-60) provided by the National Cancer Institute. Our study suggests that mathematical tools for network-based analysis can provide novel insights into drug response and cancer biology. We adopted a discrete notion of Ricci curvature to measure, via a link between Ricci curvature and network robustness established by the theory of optimal mass transport, the robustness of biological networks constructed with a pre-treatment gene expression dataset and coupled the results with the GI50 response of the cell lines to the drugs...
April 23, 2018: Scientific Reports
Matthew T McKenna, Jared A Weis, Amy Brock, Vito Quaranta, Thomas E Yankeelov
Medical oncology is in need of a mathematical modeling toolkit that can leverage clinically-available measurements to optimize treatment selection and schedules for patients. Just as the therapeutic choice has been optimized to match tumor genetics, the delivery of those therapeutics should be optimized based on patient-specific pharmacokinetic/pharmacodynamic properties. Under the current approach to treatment response planning and assessment, there does not exist an efficient method to consolidate biomarker changes into a holistic understanding of treatment response...
April 16, 2018: Translational Oncology
Luke Holman, Devi Stuart-Fox, Cindy E Hauser
Women comprise a minority of the Science, Technology, Engineering, Mathematics, and Medicine (STEMM) workforce. Quantifying the gender gap may identify fields that will not reach parity without intervention, reveal underappreciated biases, and inform benchmarks for gender balance among conference speakers, editors, and hiring committees. Using the PubMed and arXiv databases, we estimated the gender of 36 million authors from >100 countries publishing in >6000 journals, covering most STEMM disciplines over the last 15 years, and made a web app allowing easy access to the data (https://lukeholman...
April 2018: PLoS Biology
I Yu Makarov, A V Svetlakov, A V Sotin, S V Shigeev, A A Gusarov, S A Smirenin, V V Emelin, V B Stragis, V A Fetisov
To-day, the computer-assisted 3D-technologies for the mathematical simulation of the engineering facilities are extensively used for the purpose of technical calculations in all branches of industry and building. The positive experience gained with the application of the 3D-models finds wide application in the joined investigations on the topical problems of the prosthetic and surgical treatment of bones, teeth, joints, cardiac valves, blood vessels, etc. The objective of the present study was the analysis of the positive experience with the involvement of the specialists in the design and practical application of 3D-models for the solution of problems facing the medical prosthetics and the management of various pathological conditions...
2018: Sudebno-meditsinskaia Ekspertiza
Lonnie Welch, Bruno Gaeta, Diane E Kovats, Milana Frenkel Morgenstern
The International Society of Computational Biology and Bioinformatics (ISCB) brings together scientists from a wide range of disciplines, including biology, medicine, computer science, mathematics and statistics. Practitioners in these fields are constantly dealing with information in visual form: from microscope images and photographs of gels to scatter plots, network graphs and phylogenetic trees, structural formulae and protein models to flow diagrams, visual aids for problem-solving are omnipresent. The ISCB Art in Science Competition 2017 at the ISCB/ECCB 2017 conference in Prague offered a way to show the beauty of science in art form...
2018: F1000Research
Triantafyllos Stylianopoulos, Lance L Munn, Rakesh K Jain
Physical forces have a crucial role in tumor progression and cancer treatment. The application of principles of engineering and physical sciences to oncology has provided powerful insights into the mechanisms by which these forces affect tumor progression and confer resistance to delivery and efficacy of molecular, nano-, cellular, and immuno-medicines. Here, we discuss the mechanics of the solid and fluid components of a tumor, with a focus on how they impede the transport of therapeutic agents and create an abnormal tumor microenvironment (TME) that fuels tumor progression and treatment resistance...
April 2018: Trends in Cancer
Victoria A Roach, Graham M Fraser, James H Kryklywy, Derek G V Mitchell, Timothy D Wilson
Research suggests that spatial ability may predict success in complex disciplines including anatomy, where mastery requires a firm understanding of the intricate relationships occurring along the course of veins, arteries, and nerves, as they traverse through and around bones, muscles, and organs. Debate exists on the malleability of spatial ability, and some suggest that spatial ability can be enhanced through training. It is hypothesized that spatial ability can be trained in low-performing individuals through visual guidance...
March 30, 2018: Anatomical Sciences Education
Woong-Hee Shin, Daisuke Kihara
Virtual screening is a computational technique for predicting a potent binding compound for a receptor protein from a ligand library. It has been a widely used in the drug discovery field to reduce the efforts of medicinal chemists to find hit compounds by experiments.Here, we introduce our novel structure-based virtual screening program, PL-PatchSurfer, which uses molecular surface representation with the three-dimensional Zernike descriptors, which is an effective mathematical representation for identifying physicochemical complementarities between local surfaces of a target protein and a ligand...
2018: Methods in Molecular Biology
Benjamin Z Stanton, Emma J Chory, Gerald R Crabtree
Proximity, or the physical closeness of molecules, is a pervasive regulatory mechanism in biology. For example, most posttranslational modifications such as phosphorylation, methylation, and acetylation promote proximity of molecules to play deterministic roles in cellular processes. To understand the role of proximity in biologic mechanisms, chemical inducers of proximity (CIPs) were developed to synthetically model biologically regulated recruitment. Chemically induced proximity allows for precise temporal control of transcription, signaling cascades, chromatin regulation, protein folding, localization, and degradation, as well as a host of other biologic processes...
March 9, 2018: Science
Yao Li, Zhiqiang Yue, Hua Yu, Xiaojian Liu, Li Tao, Zhijie Zhu, Fangtian Fan, Cunsi Shen, Aiyun Wang, Wenxing Chen, Yin Lu
PURPOSE: A computational model based on clinical data from pancreatic cancer patients has been successfully created and used for predicting tumor sizes in primary and metastasis sites and survival time from kinetics of tumor cells, such as growth rate, metastasis rate and mutation rate, etc. Whether this computational model could be fitted or necessary modification of some parameters for fitting in mice is unknown. Here, we developed a computational model in mice for spontaneous metastasis to simulate the process of tumor metastasis based on the mathematical frameworks...
March 14, 2018: Journal of Pharmacological and Toxicological Methods
Rolf Apweiler, Tim Beissbarth, Michael R Berthold, Nils Blüthgen, Yvonne Burmeister, Olaf Dammann, Andreas Deutsch, Friedrich Feuerhake, Andre Franke, Jan Hasenauer, Steve Hoffmann, Thomas Höfer, Peter Lm Jansen, Lars Kaderali, Ursula Klingmüller, Ina Koch, Oliver Kohlbacher, Lars Kuepfer, Frank Lammert, Dieter Maier, Nico Pfeifer, Nicole Radde, Markus Rehm, Ingo Roeder, Julio Saez-Rodriguez, Ulrich Sax, Bernd Schmeck, Andreas Schuppert, Bernd Seilheimer, Fabian J Theis, Julio Vera, Olaf Wolkenhauer
New technologies to generate, store and retrieve medical and research data are inducing a rapid change in clinical and translational research and health care. Systems medicine is the interdisciplinary approach wherein physicians and clinical investigators team up with experts from biology, biostatistics, informatics, mathematics and computational modeling to develop methods to use new and stored data to the benefit of the patient. We here provide a critical assessment of the opportunities and challenges arising out of systems approaches in medicine and from this provide a definition of what systems medicine entails...
March 2, 2018: Experimental & Molecular Medicine
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