keyword
MENU ▼
Read by QxMD icon Read
search

artificial intelligence

keyword
https://www.readbyqxmd.com/read/27920762/artificial-intelligence-vs-statistical-modeling-and-optimization-of-continuous-bead-milling-process-for-bacterial-cell-lysis
#1
Shafiul Haque, Saif Khan, Mohd Wahid, Sajad A Dar, Nipunjot Soni, Raju K Mandal, Vineeta Singh, Dileep Tiwari, Mohtashim Lohani, Mohammed Y Areeshi, Thavendran Govender, Hendrik G Kruger, Arshad Jawed
For a commercially viable recombinant intracellular protein production process, efficient cell lysis and protein release is a major bottleneck. The recovery of recombinant protein, cholesterol oxidase (COD) was studied in a continuous bead milling process. A full factorial response surface methodology (RSM) design was employed and compared to artificial neural networks coupled with genetic algorithm (ANN-GA). Significant process variables, cell slurry feed rate (A), bead load (B), cell load (C), and run time (D), were investigated and optimized for maximizing COD recovery...
2016: Frontiers in Microbiology
https://www.readbyqxmd.com/read/27919375/software-intelligent-system-for-effective-solutions-for-hearing-impaired-subjects
#2
Rajkumar S, Muttan S, Sapthagirivasan V, Jaya V, Vignesh S S
PURPOSE: The anatomy and physiology of the ear is complex in nature, which makes it a challenge for audiologists to prescribe solutions for varied hearing-impaired subjects. There is a need to increase the satisfaction level of hearing-aid users by adopting better strategies that involve modern technological advancements. AIM: To design and develop a decision support Software Intelligent System (SIS) that performs audiological investigations to assess the degree of hearing loss and to suggest appropriate hearing-aid gain values...
January 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/27903825/synthetic-biology-routes-to-bio-artificial-intelligence
#3
REVIEW
Darren N Nesbeth, Alexey Zaikin, Yasushi Saka, M Carmen Romano, Claudiu V Giuraniuc, Oleg Kanakov, Tetyana Laptyeva
The design of synthetic gene networks (SGNs) has advanced to the extent that novel genetic circuits are now being tested for their ability to recapitulate archetypal learning behaviours first defined in the fields of machine and animal learning. Here, we discuss the biological implementation of a perceptron algorithm for linear classification of input data. An expansion of this biological design that encompasses cellular 'teachers' and 'students' is also examined. We also discuss implementation of Pavlovian associative learning using SGNs and present an example of such a scheme and in silico simulation of its performance...
November 30, 2016: Essays in Biochemistry
https://www.readbyqxmd.com/read/27898977/artificial-intelligence-with-deep-learning-technology-looks-into-diabetic-retinopathy-screening
#4
Tien Yin Wong, Neil M Bressler
No abstract text is available yet for this article.
November 29, 2016: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/27898975/adapting-to-artificial-intelligence-radiologists-and-pathologists-as-information-specialists
#5
Saurabh Jha, Eric J Topol
No abstract text is available yet for this article.
November 29, 2016: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/27898974/translating-artificial-intelligence-into-clinical-care
#6
Andrew L Beam, Isaac S Kohane
No abstract text is available yet for this article.
November 29, 2016: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/27881212/building-machines-that-learn-and-think-like-people
#7
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman
Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning and thinking machines will have to reach beyond current engineering trends in both what they learn, and how they learn it...
November 24, 2016: Behavioral and Brain Sciences
https://www.readbyqxmd.com/read/27869362/fractal-geometry-based-decrease-in-trimethoprim-sulfamethoxazole-concentrations-in-overweight-and-obese-people
#8
R G Hall, J G Pasipanodya, C Meek, R D Leff, M Swancutt, T Gumbo
Trimethoprim-sulfamethoxazole (TMP-SMX) is one of the most widely drugs on earth. The World Health Organization recommends it as an essential basic drug for all healthcare systems. Dosing is inconsistently based on weight, assuming linear relationships. Given that obesity is now a global "pandemic" it is vital that we evaluate the effect of obesity on trimethoprim-sulfamethoxazole concentrations. We conducted a prospective clinical experiment based on optimized design strategies and artificial intelligence algorithms and found that weight and body mass index (BMI) had a profound effect on drug clearance and volume of distribution, and followed nonlinear fractal geometry-based relationships...
November 21, 2016: CPT: Pharmacometrics & Systems Pharmacology
https://www.readbyqxmd.com/read/27865432/a-hybrid-fault-diagnosis-approach-based-on-mixed-domain-state-features-for-rotating-machinery
#9
Xiaoming Xue, Jianzhong Zhou
To make further improvement in the diagnosis accuracy and efficiency, a mixed-domain state features data based hybrid fault diagnosis approach, which systematically blends both the statistical analysis approach and the artificial intelligence technology, is proposed in this work for rolling element bearings. For simplifying the fault diagnosis problems, the execution of the proposed method is divided into three steps, i.e., fault preliminary detection, fault type recognition and fault degree identification...
November 16, 2016: ISA Transactions
https://www.readbyqxmd.com/read/27857695/information-compression-multiple-alignment-and-the-representation-and-processing-of-knowledge-in-the-brain
#10
J Gerard Wolff
The SP theory of intelligence, with its realization in the SP computer model, aims to simplify and integrate observations and concepts across artificial intelligence, mainstream computing, mathematics, and human perception and cognition, with information compression as a unifying theme. This paper describes how abstract structures and processes in the theory may be realized in terms of neurons, their interconnections, and the transmission of signals between neurons. This part of the SP theory-SP-neural-is a tentative and partial model for the representation and processing of knowledge in the brain...
2016: Frontiers in Psychology
https://www.readbyqxmd.com/read/27855838/artificial-intelligence-expert-systems-with-neural-network-machine-learning-may-assist-decision-making-for-extractions-in-orthodontic-treatment-planning
#11
Kenji Takada
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: New approach for the diagnosis of extractions with neural network machine learning. Seok-Ki Jung and Tae-Woo Kim. Am J Orthod Dentofacial Orthop 2016;149:127-33. SOURCE OF FUNDING: Not reported. TYPE OF STUDY/DESIGN: Mathematical modeling.
September 2016: Journal of Evidence-based Dental Practice
https://www.readbyqxmd.com/read/27853431/developing-dynamic-field-theory-architectures-for-embodied-cognitive-systems-with-cedar
#12
Oliver Lomp, Mathis Richter, Stephan K U Zibner, Gregor Schöner
Embodied artificial cognitive systems, such as autonomous robots or intelligent observers, connect cognitive processes to sensory and effector systems in real time. Prime candidates for such embodied intelligence are neurally inspired architectures. While components such as forward neural networks are well established, designing pervasively autonomous neural architectures remains a challenge. This includes the problem of tuning the parameters of such architectures so that they deliver specified functionality under variable environmental conditions and retain these functions as the architectures are expanded...
2016: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/27845487/health-data-entanglement-and-artificial-intelligence-based-analysis-a-brand-new-methodology-to-improve-the-effectiveness-of-healthcare-services
#13
A Capone, A Cicchetti, F S Mennini, A Marcellusi, G Baio, G Favato
Healthcare expenses will be the most relevant policy issue for most governments in the EU and in the USA. This expenditure can be associated with two major key categories: demographic and economic drivers. Factors driving healthcare expenditure were rarely recognised, measured and comprehended. An improvement of health data generation and analysis is mandatory, and in order to tackle healthcare spending growth, it may be useful to design and implement an effective, advanced system to generate and analyse these data...
September 2016: La Clinica Terapeutica
https://www.readbyqxmd.com/read/27842598/exploratory-analysis-of-real-personal-emergency-response-call-conversations-considerations-for-personal-emergency-response-spoken-dialogue-systems
#14
Victoria Young, Elizabeth Rochon, Alex Mihailidis
BACKGROUND: The purpose of this study was to derive data from real, recorded, personal emergency response call conversations to help improve the artificial intelligence and decision making capability of a spoken dialogue system in a smart personal emergency response system. The main study objectives were to: develop a model of personal emergency response; determine categories for the model's features; identify and calculate measures from call conversations (verbal ability, conversational structure, timing); and examine conversational patterns and relationships between measures and model features applicable for improving the system's ability to automatically identify call model categories and predict a target response...
November 14, 2016: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/27830257/public-health-and-epidemiology-informatics
#15
A Flahault, A Bar-Hen, N Paragios
OBJECTIVES: The aim of this manuscript is to provide a brief overview of the scientific challenges that should be addressed in order to unlock the full potential of using data from a general point of view, as well as to present some ideas that could help answer specific needs for data understanding in the field of health sciences and epidemiology. METHODS: A survey of uses and challenges of big data analyses for medicine and public health was conducted. The first part of the paper focuses on big data techniques, algorithms, and statistical approaches to identify patterns in data...
November 10, 2016: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/27828292/intelligent-estimation-of-noise-and-blur-variances-using-ann-for-the-restoration-of-ultrasound-images
#16
Muhammad Shahin Uddin, Kalyan Kumar Halder, Murat Tahtali, Andrew J Lambert, Mark R Pickering, Margaret Marchese, Iain Stuart
Ultrasound (US) imaging is a widely used clinical diagnostic tool in medical imaging techniques. It is a comparatively safe, economical, painless, portable, and noninvasive real-time tool compared to the other imaging modalities. However, the image quality of US imaging is severely affected by the presence of speckle noise and blur during the acquisition process. In order to ensure a high-quality clinical diagnosis, US images must be restored by reducing their speckle noise and blur. In general, speckle noise is modeled as a multiplicative noise following a Rayleigh distribution and blur as a Gaussian function...
November 1, 2016: Applied Optics
https://www.readbyqxmd.com/read/27816264/artificial-intelligence-tools-for-scaling-up-of-high-shear-wet-granulation-process
#17
Mariana Landin
The results presented in this article demonstrate the potential of artificial intelligence tools for predicting the endpoint of the granulation process in high-speed mixer granulators of different scales from 25L to 600L. The combination of neurofuzzy logic and gene expression programing technologies allowed the modeling of the impeller power as a function of operation conditions and wet granule properties, establishing the critical variables that affect the response and obtaining a unique experimental polynomial equation (transparent model) of high predictability (R(2) > 86...
November 2, 2016: Journal of Pharmaceutical Sciences
https://www.readbyqxmd.com/read/27812931/primer-on-ontologies
#18
Janna Hastings
As molecular biology has increasingly become a data-intensive discipline, ontologies have emerged as an essential computational tool to assist in the organisation, description and analysis of data. Ontologies describe and classify the entities of interest in a scientific domain in a computationally accessible fashion such that algorithms and tools can be developed around them. The technology that underlies ontologies has its roots in logic-based artificial intelligence, allowing for sophisticated automated inference and error detection...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27810249/microwave-assisted-chemical-pre-treatment-of-waste-sorghum-leaves-process-optimization-and-development-of-an-intelligent-model-for-determination-of-volatile-compound-fractions
#19
Daneal C S Rorke, Terence N Suinyuy, E B Gueguim Kana
This study reports the profiling of volatile compounds generated during microwave-assisted chemical pre-treatment of sorghum leaves. Compounds including acetic acid (0-186.26ng/g SL), furfural (0-240.80ng/g SL), 5-hydroxymethylfurfural (HMF) (0-19.20ng/g SL) and phenol (0-7.76ng/g SL) were detected. The reducing sugar production was optimized. An intelligent model based on Artificial Neural Networks (ANNs) was developed and validated to predict a profile of 21 volatile compounds under novel pre-treatment conditions...
October 22, 2016: Bioresource Technology
https://www.readbyqxmd.com/read/27810012/power-to-the-people-addressing-big-data-challenges-in-neuroscience-by-creating-a-new-cadre-of-citizen-neuroscientists
#20
Jane Roskams, Zoran Popović
Global neuroscience projects are producing big data at an unprecedented rate that informatic and artificial intelligence (AI) analytics simply cannot handle. Online games, like Foldit, Eterna, and Eyewire-and now a new neuroscience game, Mozak-are fueling a people-powered research science (PPRS) revolution, creating a global community of "new experts" that over time synergize with computational efforts to accelerate scientific progress, empowering us to use our collective cerebral talents to drive our understanding of our brain...
November 2, 2016: Neuron
keyword
keyword
6207
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"