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Systems Forecasting | Scientific consulting

Systems Forecasting is the scientific consultancy of David Orrell and Hitesh Mistry. We specialise in applying mathematical models and machine learning techniques to make predictions in systems biology, pharmacology, and other areas. Complexity versus simplicity in relating tumour size change to survival in oncology drug development. When is a model a black box? Proudly powered by WordPress.

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Systems Forecasting | Scientific consulting | systemsforecasting.com Reviews
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Systems Forecasting is the scientific consultancy of David Orrell and Hitesh Mistry. We specialise in applying mathematical models and machine learning techniques to make predictions in systems biology, pharmacology, and other areas. Complexity versus simplicity in relating tumour size change to survival in oncology drug development. When is a model a black box? Proudly powered by WordPress.
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Systems Forecasting | Scientific consulting | systemsforecasting.com Reviews

https://systemsforecasting.com

Systems Forecasting is the scientific consultancy of David Orrell and Hitesh Mistry. We specialise in applying mathematical models and machine learning techniques to make predictions in systems biology, pharmacology, and other areas. Complexity versus simplicity in relating tumour size change to survival in oncology drug development. When is a model a black box? Proudly powered by WordPress.

INTERNAL PAGES

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Services | Systems Forecasting

http://systemsforecasting.com/home/services

Systems Forecasting offers a range of data analysis and mathematical modelling services. Our areas of expertise include:. We specialise in computational biology, for example predicting the effects of anti-cancer drug schedules with Physiomics. We have also applied these techniques to a range of forecasting problems, from assessing the impact of climate change on cultural monuments. To transportation forecasting with the US Department of Transport. The Evolution of Money. Proudly powered by WordPress.

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Blog | Systems Forecasting | Scientific consulting

http://systemsforecasting.com/blog

Mathematical models for ion-channel cardiac toxicity: David v Goliath. July 27, 2016. Many years of research has identified certain proteins, ion-channels. Which if a drug were to affect could lead to dire consequences. A series of IC50 values are generated for each drug against a number of ion-channels. (We are actually only interested in three.) The reason why a large screening effort is made is because we cannot test all the compounds in an animal model nor can we take all of them into man! Indeed peo...

3

Uncategorized | Systems Forecasting

http://systemsforecasting.com/category/uncategorized

Model Misuse: Applying hypothesis testing to simulated data from in-silico cardiac models. January 4, 2016. In the previous blog there was an interesting link to a report by Yaron Hollander on the use and abuse of models in transport forecasting. His description of abuse of models can be seen in many sectors including the life sciences where it is arguably a bigger issue. Why? A population of models is created by generating 10000 parameter sets by perturbing a subset of model parameters. Provide two reas...

4

August | 2015 | Systems Forecasting

http://systemsforecasting.com/2015/08

Monthly Archives: August 2015. Complexity versus simplicity in relating tumour size change to survival in oncology drug development. August 11, 2015. There are two articles that currently analyse the relationship between changes in SLD and survival in quite different ways across multiple studies in non-small cell lung cancer. The first approach ( http:/ www.ncbi.nlm.nih.gov/pubmed/19440187. The second approach ( http:/ www.ncbi.nlm.nih.gov/pubmed/25667291. It could also be argued that the results of the ...

5

Partners | Systems Forecasting

http://systemsforecasting.com/partners

Mathematical models for ion-channel cardiac toxicity: David v Goliath. Application of survival analysis to P2P Lending Club loans data. The Evolution of Money. How do you calculate confidence intervals for a prediction? Proudly powered by WordPress.

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David Orrell | Writer and Mathematician

http://www.postpythagorean.com/bio.html

David Orrell. Writer and Mathematician. I am a native of Edmonton, Canada, and studied mathematics at the University of Alberta. After several years working on the design of particle accelerator projects in the US, UK, France, and Canada, I returned to study mathematics at Oxford University. The topic of my doctoral thesis was predictability of nonlinear systems, with applications to weather forecasting. This research formed the basis for my first book, Apollo's Arrow. And write books and articles.

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Systems Forecasting is the scientific consultancy of David Orrell and Hitesh Mistry. We specialise in applying mathematical models and machine learning techniques to make predictions in systems biology, pharmacology, and other areas. Complexity versus simplicity in relating tumour size change to survival in oncology drug development. When is a model a black box? Proudly powered by WordPress.

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