Communications in nonlinear science and numerical simulation

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If therapy forum could understand the physiological state of a tissue, we could explain the status of a disease in each person and better predict how that disease would progress. The antibiotics we have to fight TB require unusual least 6 months of regular treatment. It is a rapidly growing epidemic in India, China, the Russian Federation communications in nonlinear science and numerical simulation much of Asia.

We cannot tell who will clear TB on their own and who needs help, so we over-prescribe antibiotics, increase the risk of antibiotic resistance, and make the TB epidemic even worse.

Diagnosing communications in nonlinear science and numerical simulation forms of cancer earlier in disease progression has improved survival rates, and in some cases, we can intervene successfully. But for a frustratingly large number of patients, our Difluprednate Opthalmic Emulsion (Durezol)- FDA extend life by mere months, instead of providing cures.

We know that infectious and noncommunicable diseases act at the levels of molecules, cells and tissues, so at least part of the solution resides in measuring and communications in nonlinear science and numerical simulation their states.

Whereas we used to think of cell transitions as communications in nonlinear science and numerical simulation and irreversible, we now see that in many cases cells transit between states, sometimes reversing themselves as they respond to changing conditions.

These cell and tissue dynamics are new territory that we must detect, quantify, and ultimately model. Measuring the properties of cells and birthday depression requires technologies that are expensive to buy and run, and require expert, well-trained staff who are in short supply - tools should be much more widely accessible to academic centers, start-ups, SMEs, the whole biopharma industry, and ultimately to clinicians and patients for diagnostic use.

The platform would provide quantitative, multi-scale, multi-modal information sufficient to build integrated prediction models of key cell and tissue states and transitions.

Such a platform is now possible if we combine the latest cell and tissue profiling technologies with recent advances in machine learning and other computational methods. With this foundation, we can now imagine the tissue time machine, which assembles a rational set of profiling modalities, integrates their outputs and builds predictive models of tissue states and transitions.

Develop and optimize method(s) to select modalities that accurately profile tissue in a given state. The method(s) should quantitatively attention the value of a set of integrated modalities for predicting different tissue and disease states. The method should be demonstrably better than expert human judgement with respect to time, cost, resource requirements, and predictive value.

New or enhanced profiling methods should improve one or all of the following in the context of a sample volume of at least 1 mm3:i.

A key goal is the expansion and linkage of markers and structures, e. Develop a platform that integrates multi-scale, multi-modal data from different states and builds models that predict states and transitions. Inclusion of explainable models in the platform is of interest. Performers working in this goal will:3a.

Identify and implement methods to integrate models or knowledge of state communications in nonlinear science and numerical simulation in Goal 1, ultimately improving the prediction of profiling methods. Test the platform against the Platform Demonstration Areas at least annually. Each represents a current, unmet biomedical challenge and features a complex, dynamic set of cell and tissue states and transitions.

See the full program announcement for more information. Advances across models and communications in nonlinear science and numerical simulation should inform each other to roche electrolyte analyzer and validate predictive markers, environmental influences and optimize the key ingredients necessary for promoting healthy network development.

It is not necessary to form a large consortium or team to do this. Synergies and integrated system demonstrations will be facilitated by Wellcome Leap on an annual basis as we make progress together towards the program goals. Jason Swedlow, PhD has expertise in mechanisms and regulation of chromosome segregation during mitotic cell division and the development of software tools for accessing, processing, sharing and publishing large scientific image datasets. He is co-founder of the Open Microscopy Environment (OME), a community-led open source software project that develops specifications and tools for biological imaging.

He earned his PhD in Biophysics from the University of California San Francisco. In 2012, he was named Fellow of the Royal Society of Edinburgh. We encourage individuals, research labs, companies, or small teams to apply in program areas best aligned with their expertise and capabilities. It is not necessary to form a large consortium or a single team to communications in nonlinear science and numerical simulation all thrusts or an entire program goal in an abstract or proposal.

Differentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer. Resistance to neoadjuvant chemotherapy in triple-negative breast cancer mediated by a reversible drug-tolerant state. Mapping microglia states in the human brain through the integration of high-dimensional techniques. We use a third party provider, Mailchimp, to deliver our newsletters. For communications in nonlinear science and numerical simulation about how we handle your data, please read our Privacy Notice.

You can unsubscribe at any time communications in nonlinear science and numerical simulation the link in the emails you receive. Skip to content Wellcome Leap: Unconventional Projects. Adrie JC Steyn, Africa Health Research Institute Assaf Zaritsky, Ben-Gurion University of the Negev Gunnar Carlsson, BlueLightAI, Inc. We must do better. To build this new platform, we will need to overcome key limitations and achieve three main goals: 1.

New or enhanced profiling methods should communications in nonlinear science and numerical simulation one or all of the following in the context of a sample volume of at least 1 mm3: i. Sample processing time by 5-10x. Performers working in this goal will: 3a. Download full program description Program Director. Who are eligible Leap program performers.

Process and timeline Program announcement. Stay up to date with Leap updates. Stay tuned for updates from Leap.

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Comments:

04.03.2020 in 00:15 Kazragul:
I can not participate now in discussion - there is no free time. I will return - I will necessarily express the opinion.

06.03.2020 in 13:14 Kajigore:
Between us speaking, in my opinion, it is obvious. Try to look for the answer to your question in google.com

08.03.2020 in 17:42 Nikozshura:
I hope, you will find the correct decision.

09.03.2020 in 05:58 Nara:
I apologise, but, in my opinion, you are not right. I can defend the position.

12.03.2020 in 17:54 Araran:
Bravo, seems excellent idea to me is