عنوان

Automated reasoning for systems biology and medicine /

شابک

303017297X

شابک

3030172988

شابک

3030172996

شابک

9783030172978

شابک

9783030172985

شابک

9783030172992

شابک اشتباه

3030172961

شابک اشتباه

9783030172961

عنوان اصلي

Automated reasoning for systems biology and medicine /

نام عام مواد

[Book]

نام نخستين پديدآور

Pietro Liò, Paolo Zuliani, editors.

محل نشرو پخش و غیره

Cham, Switzerland :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource

عنوان فروست

Computational biology ;

مشخصه جلد

volume 30

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

"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. Some examples of the questions addressed here include: Can we automatically adjust medications for patients with multiple chronic conditions? Can we verify that an artificial pancreas system delivers insulin in a way that ensures Type 1 diabetic patients never suffer from hyperglycaemia or hypoglycaemia? And lastly, can we predict what kind of mutations a cancer cell is likely to undergo? This book brings together leading researchers from a number of highly interdisciplinary areas, including: · Parameter inference from time series · Model selection · Network structure identification · Machine learning · Systems medicine · Hypothesis generation from experimental data · Systems biology, systems medicine, and digital pathology · Verification of biomedical devices"--Publisher's website.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783030172978

شماره استاندارد بين المللي کتاب و موسيقي

9783030172961

شماره استاندارد بين المللي کتاب و موسيقي

9783030172985

شماره استاندارد بين المللي کتاب و موسيقي

9783030172992

موضوع مستند نشده

Computational biology.

موضوع مستند نشده

Medical informatics.

موضوع مستند نشده

Systems biology.

موضوع مستند نشده

Computational biology.

موضوع مستند نشده

Medical informatics.

موضوع مستند نشده

Systems biology.

موضوع مستند نشده

COM014000

موضوع مستند نشده

PSA

موضوع مستند نشده

PSA

موضوع مستند نشده

UB

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Liò, Pietro

مستند نام اشخاص تاييد نشده

Zuliani, Paolo

تاريخ عمليات

20200823085448.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y