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Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

Kwok Chui, Wadee Alhalabi, Sally Pang, Patricia Pablos, Ryan Liu, Mingbo Zhao
2017 Sustainability  
To promote sustainable development, the smart city implies a global vision that merges artificial intelligence, big data, decision making, information and communication technology (ICT), and the internet-of-things  ...  Radiotherapy is often used as a treatment to kill or control malignant cells offered to cancer patients.  ...  The privacy must be protected from misuse and violation so that patients and medical institutions will agree to release and share the data.  ... 
doi:10.3390/su9122309 fatcat:7tmwfunpo5a4baqyc73gqkqggy

Modern bioinformatics meets traditional Chinese medicine

P. Gu, H. Chen
2013 Briefings in Bioinformatics  
Dealing with rapidly growing amounts of biomedical data and their heterogeneous nature are two important tasks among modern biomedical communities.  ...  At the same time, the carrier and targets associated with TCM remedies can inspire the rethinking of modern drug development.  ...  FUNDING China's Natural Science Foundation Project (NSFC61070156/NSFC60525202); NSF of Zhejiang (LY13F020005); China National Cloud Initiative.  ... 
doi:10.1093/bib/bbt063 pmid:24067932 fatcat:w252edenoneehjadou2n2wla2a

EMBnet.journal 18 Suppl. B

EMBnet Journal
2012 EMBnet journal  
This paper revises and extends the paper "ONCO-i2b2: improve patients selection through case-based information retrieval techniques", by D.  ...  cancer patients.  ...  Integrating classical risk factors with NB-hypo could improve the stratification of NB patients.  ... 
doi:10.14806/ej.18.b.592 fatcat:wlwsmbdlfzbjtk7vyhiabdov6q

Abstract

2021 European Journal of Clinical Investigation  
Using this technology one can scan cells to determine which pathways are operative and how the pathway activities change due to genetic alterations, epigenetic gene regulation, and exposure to drugs or  ...  The TP53 gene is the most mutated gene in human cancer, it is mutated in approximately half of all human cancers.  ...  Regarding the human study, both DRD4 and DRD1 decreased in VAT from patients obese-IR. Decreased DRD1 expression correlates with decreased expression of UCP1, PPARA and insulin receptor gene (INSR).  ... 
doi:10.1111/eci.13567 fatcat:casumfo4afhklgo42swkednpya

Hybrid Model of Machine Learning Refractory Data Prediction Based on IoT Smart Cities

Xuewei Li, Kai Huang, Lei Xu
2022 Wireless Communications and Mobile Computing  
The method of machine learning is now applied in various fields, but seldom to the data prediction of smart firefighting.  ...  Various types of applications including data applications of machine learning algorithms in smart firefighting have yet to be explored.  ...  Acknowledgments The research reported in the paper is part of the Project 52178461 supported by the National Natural Science Foundation of China and the Project LJYT201908 supported by the Foundation of  ... 
doi:10.1155/2022/5430622 doaj:7baa4ec8c83040408193451d68fa13ba fatcat:soii65da45d7jo7c5em5nusrqy

Vision for a systems architecture to integrate and transform population health

Guruprasad Madhavan, Charles E. Phelps, William B. Rouse, Rino Rappuoli
2018 Proceedings of the National Academy of Sciences of the United States of America  
We draw inspiration from systems engineering and visualization tools currently in other uses, including monitoring the state of the economy (market performance), security (classified intelligence), energy  ...  The views expressed in this article are those of the authors and not necessarily of the National Academies of Sciences, Engineering, and Medicine.  ...  Meta-analyses of such data add further confidence to the conclusions drawn from such data.  ... 
doi:10.1073/pnas.1809919115 pmid:30530682 pmcid:PMC6294918 fatcat:o2ljzo7vjveolkyxlo3w6rbog4

Reinforcement Learning (Dagstuhl Seminar 13321) The Critical Internet Infrastructure (Dagstuhl Seminar 13322) Coding Theory (Dagstuhl Seminar 13351) Interaction with Information for Visual Reasoning (Dagstuhl Seminar 13352)

Peter Auer, Marcus Hutter, Laurent, Georg Carle, Jochen Schiller, Steve Uhlig, Walter Willinger, Matthias Wählisch, Thore Husfeldt, Ramamohan Paturi, Gregory Sorkin, Ryan Williams (+14 others)
unpublished
Alex: Flow Cytometry data analysis is a real case of Big-Data robots producing much larger data than can be processed at the moment.  ...  We gratefully acknowledge the Dagstuhl staff for helping on all administrative coordination, for their patience, and most importantly for providing an extremely inspiring environment.  ...  Question: What about this claim from Stanford regarding the over-expression of a certain gene in at least 20 kinds of cancer. Peter: I can only say we know very little about it.  ... 
fatcat:iz3co5xisfejfbnx2t6ptrorfm