Sentences with phrase «system modeling approach»
Using an earth system modeling approach, Deutsch and scientists at the National Center for Atmospheric Research and the Georgia Institute of Technology mapped out changing oxygen levels across the world's oceans through the end of the 21st century.
https://www.scientificamerican.com/ Not exact matches
Instead, Bertolini says, a smarter way to approach Americans» health care is to put their needs front and center and construct a business model around those needs — one that's less complicated than the fragmented, expensive medical system that currently rules the U.S..
At Thunderhill, teams tested two technological approaches: Systems based on so - called neural networks modeled after the human brain and those based on computer vision.
As part of this grant, SBP will also share its approach, the systems and processes it has honed over the past twelve years, overall access to SBP's model and free technical support with qualifying local and national non-profit organizations.
But, once the model was in place, he and his team began approaching financial institutions and digitising their credit policies, while also integrating with their (FIs) systems.
Operators are facing four big areas of challenge that Technomic sees as transformative, bound to drive changes in how operators approach business: 1) coping with supply chain challenges, including driver shortages; 2) meeting consumer demand for «food with integrity»; 3) dealing with «regulation nation» where industry - disrupting changes may include a higher minimum wage; and 4) incorporating innovations into operations, including new delivery models, variable pricing, self - ordering systems, and robotics.
Social science has a long tradition of using computational and agent - based modelling approaches (e.g. Schelling's Model of Segregation), but the new challenge is to feed real - life, and sometimes even real - time information into those systems to get gain rapid insights into the validity of research hypotheses.
«This approach will hopefully lead to better mechanistic predictive modeling of response and future design of therapies that further take advantage of how the immune system recognizes tumors.»
From here, we'll be optimizing the delivery system, evaluating the approach in more severe models of DMD, and assessing efficiency and safety in larger animals with the eventual goal of getting into clinical trials.»
Bolton combined these human hearing models with model checking (an automated, computational approach for finding problems in complex systems) to assess masking in a common patient - monitoring device with six different alarms.
A new WIREs Systems Biology and Medicine review systematically brings this information together to identify the major milestones in the development of systems approaches to the modeling and study of Parkinson's disease aSystems Biology and Medicine review systematically brings this information together to identify the major milestones in the development of systems approaches to the modeling and study of Parkinson's disease asystems approaches to the modeling and study of Parkinson's disease and DBS.
Three approaches were used to evaluate the outstanding «carbon budget» (the total amount of CO2 emissions compatible with a given global average warming) for 1.5 °C: re-assessing the evidence provided by complex Earth System Models, new experiments with an intermediate - complexity model, and evaluating the implications of current ranges of uncertainty in climate system properties using a simple System Models, new experiments with an intermediate - complexity model, and evaluating the implications of current ranges of uncertainty in climate system properties using a simple system properties using a simple model.
The next step for the researchers is to demonstrate the viability of this approach to the production and delivery of an anticancer molecule in a whole tumor model system.
«Our approach does not rely on model systems but on DNA samples and clinical data from human patients.
Borenstein and his team use a systems biology approach and apply sophisticated computer modeling to understand the structure, function, and dynamics of the microbiome.
They then used a modeling approach developed by Scripps ecologist George Sugihara and colleagues to detect cause - and - effect relationships in ecological systems.
Though other mathematical models are capable of simulating complex phenomena, only Darwin's approach shows how certain complex systems not only arise but also adapt over time to the constraints imposed by their environment, as living systems do.
«We came up with a way to derive a model of cell behavior, but the approach is complicated and slow, and it is limited in the number of variables that it can track — it can't be scaled to more complicated systems,» Wikswo says.
The approach combined experimental synthetic biology led by Mark Isalan, now Reader in Gene Network Engineering at the Department of Life Sciences of Imperial College London with computational modelling led by James Sharpe, ICREA Research Professor and head of the Multicellular Systems Biology lab at the CRG.
As Qian honed China's weapons systems, scientists in North America and Europe began applying systems approaches to intractable policy problems, modeling them as a collection of inputs and variables linked by direct or inverse relationships and feedback loops.
Plikus hopes models like this will inform efforts to regulate the Wnt - BMP system with drugs — an approach that may spread waves of growth back into balding areas.
The new approach was implemented in the widely used CLUE - S (Conversion of Land Use and its Effects at Small regional extent) modeling system.
This approach is often used to model large and complex systems, such as those in weather forecasts.
«We held weekly meetings with ACT model facilitators from IU Health focusing on developing tools, processes and strategies for rapid, efficient and sustainable implementation of evidence - based practices to help develop and implement reproducible approaches that could meet the challenge of dissemination and scalability across various types of health care systems,» Adams said.
«It integrates all processes responsible for organism success and requires a systems science approach to understand it, complete with observations and coordinated models.
While humanized mouse models provided a logical first approach to examine in vivo efficacy of CXCR4 disruption, this system does not make it possible to fully assess the functional impact of CXCR4 loss on CD4 + T cell function.
-- In silico basic and systems biology: We develop innovative approaches to reverse engineer biological networks from omics data, model tumor progression at the genomic, transcriptomic and epigenetic level, automatically annotate new proteins and functional elements through integration of complex and heterogeneous data, including data obtained from high - throughput sequencing or time - lapse video - microscopy.
This integrative, multidisciplinary team will consider feedbacks between climate, ecological, and human belief systems using a quantitative modeling approach.
The macaques served as the model system for asking these questions, but we hope the approach that we developed can be applied to lots of other different kinds of data.
Our teams develop novel approaches as well as utilize routine routes to synthesize molecular, nanostructured, and solid - state systems; analyze the samples with multiple instruments; and model the results for detailed insight and to predict new systems for synthesis and analysis.
Hypothesis driven approaches to vaccinology can utilise the knowledge gained from mechanistic mouse models and our molecular understanding of intrinsic defects to human cells.5 However, caution is required when extrapolating data from murine models, as there are substantial differences between immune ageing in mice and humans.6 Nevertheless, model systems and ex vivo analyses of molecular alterations in aged human cells have identified multiple changes in the vaccination response with age and the aged immune system in general.
The resulting data are being combined in a systems biology approach with high - resolution clinical phenotyping and findings obtained with a large array of established and novel in vitro, ex vivo and in vivo disease models to identify disease - associated genetic variants, disease - defining molecular signatures, and potential targets for therapeutic intervention.
The Bergthaler laboratory pursues an integrative approach comprising infection models and tools of immunology, pathology and systems biology in order to dissect novel disease - relevant interactions between pathogens and the host.
We study model systems to better understand natural systems and guide the development of new materials and approaches for clean and efficient energy use.
The general approach is to develop new vector systems and delivery methods, test them in the appropriate animal models, uncover the mechanisms involved in vector transduction, and use the most promising approaches in clinical trials.
This approach is now being used to derive embryonic stem cells from a variety of strains including disease models from which in vitro tools are in demand, including mouse models of Alzheimer's disease, cytogenetic disorders (Turner's syndrome and Down syndrome), and tool strains for systems genetics.
«It validates the approach of using even very distant model systems, such as the fly, to study human biology.
His research focus is the theoretical analysis of stem cell organization using system biological approaches such as mathematical modelling and computer simulation.
Besides experimental measurements and visualizations, mathematical modeling provides a third approach to discover and understand biological systems.
PNNL is using an integrative research approach that draws on our depth and breadth of capabilities in atmospheric chemistry, climate physics, modeling, and measurement to address critical scientific questions related to the role of aerosols in the climate system.
Bioeconomic modeling, agent - based and evolutionary (learning) agent - based modeling, multi-scale approaches to coupled human and natural systems, natural resource markets, regulatory policy
Genetic approaches in mouse model systems combined with cell biological assays have allowed Professor Lukas Sommer to identify mechanisms regulating stem cell fates in the developing CNS and in neural crest - derived tissues.
The method is rooted deeply in quantum mechanics and provides a parameter - free approach for modeling experimentally relevant systems.
Approaches successful in other systems, such as modeling signal transduction and synthetic biology methodologies [32] could improve future generations of detector plants by enhancing signal transmission and providing means to deal with biological «noise».
We employ a Model - Integrated Synthesis, Characterization and Experiment (MISCE) approach to achieve fundamental understanding and experimentally - validated conceptual and computational models of fluid - solid interfaces (FSIs) representative of those encountered in advanced energy systems and devices, including batteries, supercapacitors and photo - and electrochemical cells.
Topics and models to be covered include: nomenclature, basic mouse genetics, concepts of mouse model generation, approaches to working up mutant mice, role of pathologists at research institutions, systemic, hematopoietic, mammary, gynecologic, cutaneous, infectious and immune system pathology, embryology and cancer models.
Valcke, S., E. Guilyardi, and C. Larsson, 2006: PRISM and ENES: A European approach to Earth system modelling.
PHENOMIN - CIPHE develops functional genomic approaches to create preclinical models of the immune system.
For a systems - level understanding of all crucial protein interactions during cell division, we are combining automated single molecule calibrated imaging and computational data analysis with advanced machine learning and modelling approaches to build an integrated protein atlas of the human dividing cell.
Using the oral microbial community as a model system, we are applying functional genomic approaches including Stable Isotope Probing (SIP), metatrascriptomics and directed single cell genomic approaches to enable us to overcome this limitation.