Book ChapterDOI
AIM in Alternative Medicine
Zixin Shu,Ting Jia,Haoyu Tian,Dengying Yan,Yuxia Yang,Xuezhong Zhou +5 more
- pp 1-16
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The article was published on 2021-01-01. It has received 2 citations till now.read more
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Artificial intelligence in medicine.
TL;DR: Artificial neural network was the most commonly used analytical tool whilst other artificial intelligent techniques such as fuzzy expert systems, evolutionary computation and hybrid intelligent systems have all been used in different clinical settings.
Wet-spinning of PEDOT:PSS/functionalized-SWNTs composite: A facile route toward production of strong and highly conducting multifunctional fibers
TL;DR: In this paper, the authors developed a wet-spinning of composite formulation based on functionalized PEG-SWNT and PEDOT:PSS for fabricating multifunctional fibers with enhanced mechanical properties.
References
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Support-Vector Networks
Corinna Cortes,Vladimir Vapnik +1 more
TL;DR: High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated and the performance of the support- vector network is compared to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.
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Network Medicine: A Network-Based Approach to Human Disease
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Knowledge engineering: principles and methods
TL;DR: The paradigm shift from a transfer view to a modeling view is discussed and two approaches which considerably shaped research in Knowledge Engineering are described: Role-limiting Methods and Generic Tasks.
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Network pharmacology: the next paradigm in drug discovery.
TL;DR: A new appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development--efficacy and toxicity.
Journal ArticleDOI
The human disease network
Kwang-Il Goh,Michael E. Cusick,David Valle,Barton Childs,Marc Vidal,Albert-László Barabási,Albert-László Barabási +6 more
TL;DR: This paper found that essential human genes are likely to encode hub proteins and are expressed widely in most tissues, while the vast majority of disease genes are non-essential and show no tendency to encoding hub proteins, and their expression pattern indicates that they are localized in the functional periphery of the network.