Automated Reasoning for Systems Biology and Medicine 1st edition by Pietro Liò, Paolo Zuliani 3030172961 9783030172961

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Product details:

ISBN-10 :  3030172961 

ISBN-13 :  9783030172961

Author:  Pietro Liò, Paolo Zuliani 

This book presents outstanding contributions in an exciting, new and multidisciplinary research area: the application of formal, automated reasoning techniques to analyse complex models in systems biology and systems medicine. Automated reasoning is a field of computer science devoted to the development of algorithms that yield trustworthy answers, providing a basis of sound logical reasoning. For example, in the semiconductor industry formal verification is instrumental to ensuring that chip designs are free of defects (or “bugs”). Over the past 15 years, systems biology and systems medicine have been introduced in an attempt to understand the enormous complexity of life from a computational point of view. This has generated a wealth of new knowledge in the form of computational models, whose staggering complexity makes manual analysis methods infeasible. Sound, trusted, and automated means of analysing the models are thus required in order to be able to trust their conclusions. Above all, this is crucial to engineering safe biomedical devices and to reducing our reliance on wet-lab experiments and clinical trials, which will in turn produce lower economic and societal costs.

 

Automated Reasoning for Systems Biology and Medicine 1st Table of contents:

Part I. Model Checking
1. Model Checking Approach to the Analysis of Biological Systems
2. Automated Reasoning for the Synthesis and Analysis of Biological Programs
3. Statistical Model Checking-Based Analysis of Biological Networks
4. Models, Devices, Properties, and Verification of Artificial Pancreas Systems
5. Using State Space Exploration to Determine How Gene Regulatory Networks Constrain Mutation Order in Cancer Evolution
Part II. Formal Methods and Logic
6. Set-Based Analysis for Biological Modeling
7. Logic and Linear Programs to Understand Cancer Response
8. Logic-Based Formalization of System Requirements for Integrated Clinical Environments
9. Balancing Prescriptions with Constraint Solvers
10. Metastable Regimes and Tipping Points of Biochemical Networks with Potential Applications in Precision Medicine
Part III. Stochastic Modelling and Analysis
11. Stochastic Spatial Modelling of the Remyelination Process in Multiple Sclerosis Lesions
12. Approximation Techniques for Stochastic Analysis of Biological Systems
13. A Graphical Approach for Hybrid Modelling of Intracellular Calcium Dynamics Based on Coloured Hybrid Petri Nets
14. Methods for Personalised Delivery Rate Computation for IV Administered Anesthetic Propofol
Part IV. Machine Learning and Artificial Intelligence
15. Towards the Integration of Metabolic Network Modelling and Machine Learning for the Routine Analysis of High-Throughput Patient Data
16. Opportunities and Challenges in Applying Artificial Intelligence to Bioengineering
17. Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis

 

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Tags: Automated Reasoning, Systems Biology, Medicine, Pietro Liò, Paolo Zuliani