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https://www.readbyqxmd.com/read/28545640/artificial-intelligence-in-precision%C3%A2-cardiovascular-medicine
#1
REVIEW
Chayakrit Krittanawong, HongJu Zhang, Zhen Wang, Mehmet Aydar, Takeshi Kitai
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes, learning capacity, and knowledge storage. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve the quality of patient care, enable cost-effectiveness, and reduce readmission and mortality rates. Over the past decade, several machine-learning techniques have been used for cardiovascular disease diagnosis and prediction. Each problem requires some degree of understanding of the problem, in terms of cardiovascular medicine and statistics, to apply the optimal machine-learning algorithm...
May 30, 2017: Journal of the American College of Cardiology
https://www.readbyqxmd.com/read/28545224/natural-inspired-intelligent-visual-computing-and-its-application-to-viticulture
#2
Li Minn Ang, Kah Phooi Seng, Feng Lu Ge
This paper presents an investigation of natural inspired intelligent computing and its corresponding application towards visual information processing systems for viticulture. The paper has three contributions: (1) a review of visual information processing applications for viticulture; (2) the development of natural inspired computing algorithms based on artificial immune system (AIS) techniques for grape berry detection; and (3) the application of the developed algorithms towards real-world grape berry images captured in natural conditions from vineyards in Australia...
May 23, 2017: Sensors
https://www.readbyqxmd.com/read/28540687/logical-reasoning-inferencing-on-microrna-data
#3
Jingsong Wang
Logical reasoning played an important role in artificial intelligence. Applying logical reasoning on microRNA data brings intelligence into data analysis. Here, we provide basic introduction about logic (especially propositional logic) and automated reasoning based on knowledge described in the form of logic rules. We also introduce tools that could be used for building automated reasoning systems with microRNA data.
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28540477/-personalization-in-the-medicine-of-the-future-opportunities-and-risks
#4
REVIEW
N P Malek
Personalized medicine is not a new concept. The renaissance of the term is due to the enormous progress in gene sequencing technology and functional imaging, as well as the development of targeted therapies. Application of these technologies in clinical medicine will necessitate infrastructural as well as organizational and educational changes in the healthcare system. An important change required already in the short-term is the introduction of centralized structures, preferably in university clinics, which adopt these innovations and incorporate them into clinical care...
May 24, 2017: Der Internist
https://www.readbyqxmd.com/read/28539087/artificial-intelligence-methodologies-and-their-application-to-diabetes
#5
Mercedes Rigla, Gema García-Sáez, Belén Pons, Maria Elena Hernando
In the past decade diabetes management has been transformed by the addition of continuous glucose monitoring and insulin pump data. More recently, a wide variety of functions and physiologic variables, such as heart rate, hours of sleep, number of steps walked and movement, have been available through wristbands or watches. New data, hydration, geolocation, and barometric pressure, among others, will be incorporated in the future. All these parameters, when analyzed, can be helpful for patients and doctors' decision support...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28537378/self-healing-highly-sensitive-electronic-sensors-enabled-by-metal-ligand-coordination-and-hierarchical-structure-design
#6
Yangyang Han, Xiaodong Wu, Xinxing Zhang, Canhui Lu
Electronic sensors capable of capturing mechanical deformation are highly desirable for next generation of artificial intelligence products. However, it remains a challenge to prepare self-healing, highly sensitive and cost-efficient sensors for both tiny and large human motion monitoring. Here, a new kind of self-healing, sensitive, and versatile strain sensors has been developed by combining metal-ligand chemistry with hierarchical structure design. Specifically, a self-healing and nanostructured conductive layer is deposited onto a self-healing elastomer substrate cross-linked by metal-ligand coordinate bonds, forming a hierarchically structured sensor...
May 24, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28537025/prediction-of-dissolved-oxygen-concentration-in-hypoxic-river-systems-using-support-vector-machine-a-case-study-of-wen-rui-tang-river-china
#7
Xiaoliang Ji, Xu Shang, Randy A Dahlgren, Minghua Zhang
Accurate quantification of dissolved oxygen (DO) is critically important for managing water resources and controlling pollution. Artificial intelligence (AI) models have been successfully applied for modeling DO content in aquatic ecosystems with limited data. However, the efficacy of these AI models in predicting DO levels in the hypoxic river systems having multiple pollution sources and complicated pollutants behaviors is unclear. Given this dilemma, we developed a promising AI model, known as support vector machine (SVM), to predict the DO concentration in a hypoxic river in southeastern China...
May 23, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28535929/genetic-coding-and-united-hypercomplex-systems-in-the-models-of-algebraic-biology
#8
REVIEW
Sergey V Petoukhov
Structured alphabets of DNA and RNA in their matrix form of representations are connected with Walsh functions and a new type of systems of multidimensional numbers. This type generalizes systems of complex numbers and hypercomplex numbers, which serve as the basis of mathematical natural sciences and many technologies. The new systems of multi-dimensional numbers have interesting mathematical properties and are called in a general case as "systems of united-hypercomplex numbers" (or briefly "U-hypercomplex numbers")...
May 20, 2017: Bio Systems
https://www.readbyqxmd.com/read/28534872/a-light-driven-artificial-flytrap
#9
Owies M Wani, Hao Zeng, Arri Priimagi
The sophistication, complexity and intelligence of biological systems is a continuous source of inspiration for mankind. Mimicking the natural intelligence to devise tiny systems that are capable of self-regulated, autonomous action to, for example, distinguish different targets, remains among the grand challenges in biomimetic micro-robotics. Herein, we demonstrate an autonomous soft device, a light-driven flytrap, that uses optical feedback to trigger photomechanical actuation. The design is based on light-responsive liquid-crystal elastomer, fabricated onto the tip of an optical fibre, which acts as a power source and serves as a contactless probe that senses the environment...
May 23, 2017: Nature Communications
https://www.readbyqxmd.com/read/28527481/rethinking-anatomy-how-to-overcome-challenges-of-medical-education-s-evolution
#10
REVIEW
Bruno Guimarães, Luís Dourado, Stanislav Tsisar, José Miguel Diniz, Maria Dulce Madeira, Maria Amélia Ferreira
INTRODUCTION: Due to scientific and technological development, Medical Education has been readjusting its focus and strategies. Medical curriculum has been adopting a vertical integration model, in which basic and clinical sciences coexist during medical instruction. This context favours the introduction of new complementary technology-based pedagogical approaches. Thus, even traditional core sciences of medical curriculum, like Anatomy, are refocusing their teaching/learning paradigm...
February 27, 2017: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28522333/development-of-qsars-for-parameterizing-physiology-based-toxicokinetic-models
#11
Dimosthenis Α Sarigiannis, Krystalia Papadaki, Periklis Kontoroupis, Spyros P Karakitsios
A Quantitative Structure Activity Relationship (QSAR) model was developed in order to predict physicochemical and biochemical properties of industrial chemicals of various groups. This model was based on the solvation equation, originally proposed by Abraham. In this work Abraham's solvation model got parameterized using artificial intelligence techniques such as artificial neural networks (ANNs) for the prediction of partitioning into kidney, heart, adipose, liver, muscle, brain and lung for the estimation of the bodyweight-normalized maximal metabolic velocity (Vmax) and the Michaelis - Menten constant (Km)...
May 15, 2017: Food and Chemical Toxicology
https://www.readbyqxmd.com/read/28516324/bacterial-intelligence-imitation-games-time-sharing-and-long-range-quantum-coherence
#12
REVIEW
Sarangam Majumdar, Sukla Pal
Bacteria are far more intelligent than we can think of. They adopt different survival strategies to make their life comfortable. Researches on bacterial communication to date suggest that bacteria can communicate with each other using chemical signaling molecules as well as using ion channel mediated electrical signaling. Though in past few decades the scopes of chemical signaling have been investigated extensively, those of electrical signaling have received less attention. In this article, we present a novel perspective on time-sharing behavior, which maintains the biofilm growth under reduced nutrient supply between two distant biofilms through electrical signaling based on the experimental evidence reported by Liu et al...
May 17, 2017: Journal of Cell Communication and Signaling
https://www.readbyqxmd.com/read/28499165/preparing-diopside-nanoparticle-scaffolds-via-space-holder-method-simulation-of-the-compressive-strength-and-porosity
#13
Majid Abdellahi, Aliakbar Najafinezhad, Hamid Ghayour, Saeed Saber-Samandari, Amirsalar Khandan
In the present study, diopside nanopowders were prepared via mechanical milling with eggshell as the calcium source. The space holder method (compaction of ceramic powder and spacer) as one of the most important methods to produce ceramic/metal scaffolds was used to produce diopside scaffolds. For the first time, the effect of the spacer size on mechanical properties and porosity of the obtained scaffolds was experimentally discussed. According to the results obtained, the NaCl particles (as the spacer) with the size of 400-600µm maintained their original spherical shape during the compaction and sintering processes...
May 3, 2017: Journal of the Mechanical Behavior of Biomedical Materials
https://www.readbyqxmd.com/read/28498083/computer-assisted-ci-fitting-is-the-learning-capacity-of-the-intelligent-agent-fox-beneficial-for-speech-understanding
#14
Matthias Meeuws, David Pascoal, Iñigo Bermejo, Miguel Artaso, Geert De Ceulaer, Paul J Govaerts
OBJECTIVE: The software application FOX ('Fitting to Outcome eXpert') is an intelligent agent to assist in the programing of cochlear implant (CI) processors. The current version utilizes a mixture of deterministic and probabilistic logic which is able to improve over time through a learning effect. This study aimed at assessing whether this learning capacity yields measurable improvements in speech understanding. METHODS: A retrospective study was performed on 25 consecutive CI recipients with a median CI use experience of 10 years who came for their annual CI follow-up fitting session...
May 12, 2017: Cochlear Implants International
https://www.readbyqxmd.com/read/28497389/elucidating-and-engineering-thiopeptide-biosynthesis
#15
REVIEW
Philip R Bennallack, Joel S Griffitts
Initially discovered in the mid-twentieth century, thiopeptides constitute a diverse family of bacterially produced natural products exhibiting a remarkable array of biological properties. Only in the last several years have the details of thiopeptide biosynthesis been uncovered by a combination of genomic, genetic, and biochemical approaches. Thiopeptides are now known to be ribosomally synthesized and subsequently densely modified to carry azol(in)es, dehydro amino acids, and various other pathway-specific decorations...
June 2017: World Journal of Microbiology & Biotechnology
https://www.readbyqxmd.com/read/28494618/machine-learning-methods-to-predict-diabetes-complications
#16
Arianna Dagliati, Simone Marini, Lucia Sacchi, Giulia Cogni, Marsida Teliti, Valentina Tibollo, Pasquale De Cata, Luca Chiovato, Riccardo Bellazzi
One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decision rules from data. Machine learning algorithms have been embedded into data mining pipelines, which can combine them with classical statistical strategies, to extract knowledge from data. Within the EU-funded MOSAIC project, a data mining pipeline has been used to derive a set of predictive models of type 2 diabetes mellitus (T2DM) complications based on electronic health record data of nearly one thousand patients...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28492252/artificial-intelligence-a-social-spin-on-language-analysis
#17
Carolyn Penstein Rosé
No abstract text is available yet for this article.
May 10, 2017: Nature
https://www.readbyqxmd.com/read/28488985/an-alternative-paradigm-for-evidence-based-medicine-revisiting-lawrence-weed-md-s-systems-approach
#18
Ali Rafik Shukor
Lawrence Weed, MD, is renowned for being the father of the Problem-Oriented Medical Record (POMR), the medical care standard for collecting, managing, and contextualizing patient data in medical records. What have been consistently overlooked are his teachings on knowledge coupling, which refers to matching patient data with associated medical knowledge. Together, the POMR standard and knowledge coupling are meant to form the basis of a systems approach that enables individualized evidence-based decision making within the context of multimorbidity and patient complexity...
2017: Permanente Journal
https://www.readbyqxmd.com/read/28488252/multiscale-modeling-in-the-clinic-diseases-of-the-brain-and-nervous-system
#19
REVIEW
William W Lytton, Jeff Arle, Georgiy Bobashev, Songbai Ji, Tara L Klassen, Vasilis Z Marmarelis, James Schwaber, Mohamed A Sherif, Terence D Sanger
Computational neuroscience is a field that traces its origins to the efforts of Hodgkin and Huxley, who pioneered quantitative analysis of electrical activity in the nervous system. While also continuing as an independent field, computational neuroscience has combined with computational systems biology, and neural multiscale modeling arose as one offshoot. This consolidation has added electrical, graphical, dynamical system, learning theory, artificial intelligence and neural network viewpoints with the microscale of cellular biology (neuronal and glial), mesoscales of vascular, immunological and neuronal networks, on up to macroscales of cognition and behavior...
May 9, 2017: Brain Informatics
https://www.readbyqxmd.com/read/28487535/basic-protocols-in-quantum-reinforcement-learning-with-superconducting-circuits
#20
Lucas Lamata
Superconducting circuit technologies have recently achieved quantum protocols involving closed feedback loops. Quantum artificial intelligence and quantum machine learning are emerging fields inside quantum technologies which may enable quantum devices to acquire information from the outer world and improve themselves via a learning process. Here we propose the implementation of basic protocols in quantum reinforcement learning, with superconducting circuits employing feedback- loop control. We introduce diverse scenarios for proof-of-principle experiments with state-of-the-art superconducting circuit technologies and analyze their feasibility in presence of imperfections...
May 9, 2017: Scientific Reports
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