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https://www.readbyqxmd.com/read/29784537/artificial-intelligence-a-joint-narrative-on-potential-use-in-pediatric-stem-and-immune-cell-therapies-and-regenerative-medicine
#1
REVIEW
Irena Sniecinski, Jerard Seghatchian
Artificial Intelligence (AI) reflects the intelligence exhibited by machines and software. It is a highly desirable academic field of many current fields of studies. Leading AI researchers describe the field as "the study and design of intelligent agents". McCarthy invented this term in 1955 and defined it as "the science and engineering of making intelligent machines". The central goals of AI research are reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects...
May 9, 2018: Transfusion and Apheresis Science
https://www.readbyqxmd.com/read/29783764/intensity-of-multilingual-language-use-predicts-cognitive-performance-in-some-multilingual-older-adults
#2
Anna Pot, Merel Keijzer, Kees de Bot
Cognitive advantages for bilinguals have inconsistently been observed in different populations, with different operationalisations of bilingualism, cognitive performance, and the process by which language control transfers to cognitive control. This calls for studies investigating which aspects of multilingualism drive a cognitive advantage, in which populations and under which conditions. This study reports on two cognitive tasks coupled with an extensive background questionnaire on health, wellbeing, personality, language knowledge and language use, administered to 387 older adults in the northern Netherlands, a small but highly multilingual area...
May 19, 2018: Brain Sciences
https://www.readbyqxmd.com/read/29782036/differential-diagnosis-of-jaw-pain-using-informatics-technology
#3
Yoon Nam, Hong-Gee Kim, Hong-Seop Kho
This study aimed to deduce evidence-based clinical clues that differentiate temporomandibular disorders (TMD)-mimicking conditions from genuine TMD by text mining using natural language processing (NLP) and recursive partitioning. We compared the medical records of 29 patients diagnosed with TMD-mimicking conditions and 290 patients diagnosed with genuine TMD. Chief complaints and medical histories were preprocessed via NLP to compare the frequency of word usage. In addition, recursive partitioning was used to deduce the optimal size of mouth opening, which could differentiate TMD-mimicking from genuine TMD groups...
May 21, 2018: Journal of Oral Rehabilitation
https://www.readbyqxmd.com/read/29781702/first-language-raters-opinions-when-validating-word-recordings-for-a-newly-developed-speech-reception-threshold-test
#4
Seema Panday, Harsha Kathard, Mershen Pillay, Wayne Wilson
 The purpose of this study was to consider the value of adding first-language speaker ratings to the process of validating word recordings for use in a new speech reception threshold (SRT) test in audiology. Previous studies had identified 28 word recordings as being suitable for use in a new SRT test. These word recordings had been shown to satisfy the linguistic criteria of familiarity, phonetic dissimilarity and tone, and the psychometric criterion of homogeneity of audibility. Objectives: The aim of the study was to consider the value of adding first-language speakers' ratings when validating word recordings for a new SRT test...
March 29, 2018: South African Journal of Communication Disorders. die Suid-Afrikaanse Tydskrif Vir Kommunikasieafwykings
https://www.readbyqxmd.com/read/29781173/discourse-and-cognition-in-speakers-with-acquired-brain-injury-abi-a-systematic-review
#5
REVIEW
Elizabeth Hill, Mary Claessen, Anne Whitworth, Mark Boyes, Roslyn Ward
BACKGROUND: Cognitive impairment, particularly of executive functioning, has been implicated in deficits in spoken discourse production following acquired brain injury (ABI). However, due to variation in the methodologies and heterogeneity of findings across studies, the nature and extent of this association is not well understood. AIMS: This review aims to synthesize the literature investigating associations between cognitive deficits and discourse impairment after ABI...
May 20, 2018: International Journal of Language & Communication Disorders
https://www.readbyqxmd.com/read/29772668/an-efficient-framework-for-development-of-task-oriented-dialog-systems-in-a-smart-home-environment
#6
Youngmin Park, Sangwoo Kang, Jungyun Seo
In recent times, with the increasing interest in conversational agents for smart homes, task-oriented dialog systems are being actively researched. However, most of these studies are focused on the individual modules of such a system, and there is an evident lack of research on a dialog framework that can integrate and manage the entire dialog system. Therefore, in this study, we propose a framework that enables the user to effectively develop an intelligent dialog system. The proposed framework ontologically expresses the knowledge required for the task-oriented dialog system's process and can build a dialog system by editing the dialog knowledge...
May 16, 2018: Sensors
https://www.readbyqxmd.com/read/29771635/pathogenesis-based-treatments-in-primary-sjogren-s-syndrome-using-artificial-intelligence-and-advanced-machine-learning-techniques-a-systematic-literature-review
#7
Nathan Foulquier, Pascal Redou, Christophe Le Gal, Bénédicte Rouvière, Jacques-Olivier Pers, Alain Saraux
Big data analysis has become a common way to extract information from complex and large datasets among most scientific domains. This approach is now used to study large cohorts of patients in medicine. This work is a review of publications that have used artificial intelligence and advanced machine learning techniques to study physio pathogenesis-based treatments in pSS. A systematic literature review retrieved all articles reporting on the use of advanced statistical analysis applied to the study of systemic autoimmune diseases (SADs) over the last decade...
May 17, 2018: Human Vaccines & Immunotherapeutics
https://www.readbyqxmd.com/read/29766379/relative-salience-of-syllable-structure-and-syllable-order-in-zebra-finch-song
#8
Shelby L Lawson, Adam R Fishbein, Nora H Prior, Gregory F Ball, Robert J Dooling
There is a rich history of behavioral and neurobiological research focused on the 'syntax' of birdsong as a model for human language and complex auditory perception. Zebra finches are one of the most widely studied songbird species in this area of investigation. As they produce song syllables in a fixed sequence, it is reasonable to assume that adult zebra finches are also sensitive to the order of syllables within their song; however, results from electrophysiological and behavioral studies provide somewhat mixed evidence on exactly how sensitive zebra finches are to syllable order as compared, say, to syllable structure...
May 15, 2018: Animal Cognition
https://www.readbyqxmd.com/read/29764360/prediction-of-enhancer-promoter-interactions-via-natural-language-processing
#9
Wanwen Zeng, Mengmeng Wu, Rui Jiang
BACKGROUND: Precise identification of three-dimensional genome organization, especially enhancer-promoter interactions (EPIs), is important to deciphering gene regulation, cell differentiation and disease mechanisms. Currently, it is a challenging task to distinguish true interactions from other nearby non-interacting ones since the power of traditional experimental methods is limited due to low resolution or low throughput. RESULTS: We propose a novel computational framework EP2vec to assay three-dimensional genomic interactions...
May 9, 2018: BMC Genomics
https://www.readbyqxmd.com/read/29763706/exploiting-semantic-patterns-over-biomedical-knowledge-graphs-for-predicting-treatment-and-causative-relations
#10
Gokhan Bakal, Preetham Talari, Elijah V Kakani, Ramakanth Kavuluru
BACKGROUND: Identifying new potential treatment options for medical conditions that cause human disease burden is a central task of biomedical research. Since all candidate drugs cannot be tested with animal and clinical trials, in vitro approaches are first attempted to identify promising candidates. Likewise, identifying different causal relations between biomedical entities is also critical to understand biomedical processes. Generally, natural language processing (NLP) and machine learning are used to predict specific relations between any given pair of entities using the distant supervision approach...
May 12, 2018: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/29760666/candyflipping-and-other-combinations-identifying-drug-drug-combinations-from-an-online-forum
#11
Michael Chary, David Yi, Alex F Manini
Novel psychoactive substances (NPS) refer to synthetic compounds or derivatives of more widely known substances of abuse that have emerged over the last two decades. Case reports suggest that users combine substances to achieve desired psychotropic experiences while reducing dysphoria and unpleasant somatic effects. However, the pattern of combining NPS has not been studied on a large scale. Here, we show that posts discussing NPS describe combining nootropics with sedative-hypnotics and stimulants with plant hallucinogens or psychiatric medications...
2018: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/29760059/nouns-slow-down-speech-across-structurally-and-culturally-diverse-languages
#12
Frank Seifart, Jan Strunk, Swintha Danielsen, Iren Hartmann, Brigitte Pakendorf, Søren Wichmann, Alena Witzlack-Makarevich, Nivja H de Jong, Balthasar Bickel
By force of nature, every bit of spoken language is produced at a particular speed. However, this speed is not constant-speakers regularly speed up and slow down. Variation in speech rate is influenced by a complex combination of factors, including the frequency and predictability of words, their information status, and their position within an utterance. Here, we use speech rate as an index of word-planning effort and focus on the time window during which speakers prepare the production of words from the two major lexical classes, nouns and verbs...
May 14, 2018: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/29751829/querying-archetype-based-ehrs-by-search-ontology-based-xpath-engineering
#13
Stefan Kropf, Alexandr Uciteli, Katrin Schierle, Peter Krücken, Kerstin Denecke, Heinrich Herre
BACKGROUND: Legacy data and new structured data can be stored in a standardized format as XML-based EHRs on XML databases. Querying documents on these databases is crucial for answering research questions. Instead of using free text searches, that lead to false positive results, the precision can be increased by constraining the search to certain parts of documents. METHODS: A search ontology-based specification of queries on XML documents defines search concepts and relates them to parts in the XML document structure...
May 11, 2018: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/29750165/how-artificial-intelligence-can-improve-our-understanding-of-the-genes-associated-with-endometriosis-natural-language-processing-of-the-pubmed-database
#14
REVIEW
J Bouaziz, R Mashiach, S Cohen, A Kedem, A Baron, M Zajicek, I Feldman, D Seidman, D Soriano
Endometriosis is a disease characterized by the development of endometrial tissue outside the uterus, but its cause remains largely unknown. Numerous genes have been studied and proposed to help explain its pathogenesis. However, the large number of these candidate genes has made functional validation through experimental methodologies nearly impossible. Computational methods could provide a useful alternative for prioritizing those most likely to be susceptibility genes. Using artificial intelligence applied to text mining, this study analyzed the genes involved in the pathogenesis, development, and progression of endometriosis...
2018: BioMed Research International
https://www.readbyqxmd.com/read/29749040/editors-introduction-miscommunication
#15
Patrick G T Healey, Jan P de Ruiter, Gregory J Mills
Miscommunication is a neglected issue in the cognitive sciences, where it has often been discounted as noise in the system. This special issue argues for the opposite view: Miscommunication is a highly structured and ubiquitous feature of human interaction that systematically underpins people's ability to create and maintain shared languages. Contributions from conversation analysis, computational linguistics, experimental psychology, and formal semantics provide evidence for these claims. They highlight the multi-modal, multi-person character of miscommunication...
April 2018: Topics in Cognitive Science
https://www.readbyqxmd.com/read/29748158/scoping-review-of-dance-for-adults-with-fibromyalgia-what-do-we-know-about-it
#16
REVIEW
Julia Bidonde, Catherine Boden, Soo Kim, Angela J Busch, Suelen M Goes, Emily Knight
BACKGROUND: Fibromyalgia is a chronic disorder characterized by widespread muscular tenderness, pain, fatigue, and cognitive difficulties. Nonpharmacological treatment options, such as physical activity, are important for people with fibromyalgia. There are strong recommendations to support engagement in physical activity for symptom management among adults with fibromyalgia. Dance is a mode of physical activity that may allow individuals with fibromyalgia to improve their physical function, health, and well-being...
May 10, 2018: JMIR Rehabilitation and Assistive Technologies
https://www.readbyqxmd.com/read/29743531/identifying-suicide-ideation-and-suicidal-attempts-in-a-psychiatric-clinical-research-database-using-natural-language-processing
#17
Andrea C Fernandes, Rina Dutta, Sumithra Velupillai, Jyoti Sanyal, Robert Stewart, David Chandran
Research into suicide prevention has been hampered by methodological limitations such as low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies have been used with Electronic Health Records to increase information extraction from free text notes as well as structured fields concerning suicidality and this allows access to much larger cohorts than previously possible. This paper presents two novel NLP approaches - a rule-based approach to classify the presence of suicide ideation and a hybrid machine learning and rule-based approach to identify suicide attempts in a psychiatric clinical database...
May 9, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29742757/evaluation-of-a-novel-system-to-enhance-clinicians-recognition-of-preadmission-adverse-drug-reactions
#18
Joshua C Smith, Qingxia Chen, Joshua C Denny, Dan M Roden, Kevin B Johnson, Randolph A Miller
BACKGROUND:  Often unrecognized by providers, adverse drug reactions (ADRs) diminish patients' quality of life, cause preventable admissions and emergency department visits, and increase health care costs. OBJECTIVE:  This article evaluates whether an automated system, the Adverse Drug Effect Recognizer (ADER), could assist clinicians in detecting and addressing inpatients' ongoing preadmission ADRs. METHODS:  ADER uses natural language processing to extract patients' medications, findings, and past diagnoses from admission notes...
April 2018: Applied Clinical Informatics
https://www.readbyqxmd.com/read/29740366/human-consciousness-where-is-it-from-and-what-is-it-for
#19
REVIEW
Boris Kotchoubey
Consciousness is not a process in the brain but a kind of behavior that, of course, is controlled by the brain like any other behavior. Human consciousness emerges on the interface between three components of animal behavior: communication, play, and the use of tools. These three components interact on the basis of anticipatory behavioral control, which is common for all complex forms of animal life. All three do not exclusively distinguish our close relatives, i.e., primates, but are broadly presented among various species of mammals, birds, and even cephalopods; however, their particular combination in humans is unique...
2018: Frontiers in Psychology
https://www.readbyqxmd.com/read/29739394/towards-a-framework-for-analyzing-determinants-of-performance-of-community-health-workers-in-malaria-prevention-and-control-a-systematic-review
#20
REVIEW
Helen Mwiinga Chipukuma, Joseph Mumba Zulu, Choolwe Jacobs, Gershom Chongwe, Mumbi Chola, Hikabasa Halwiindi, Jessy Zgambo, Charles Michelo
BACKGROUND: Community health workers (CHWs) are an important human resource in improving coverage of and success to interventions aimed at reducing malaria incidence. Evidence suggests that the performance of CHWs in malaria programs varies in different contexts. However, comprehensive frameworks, based on systematic reviews, to guide the analysis of determinants of performance of CHWs in malaria prevention and control programs are lacking. METHODS: We systematically searched Google Scholar, Science Direct, and PubMed including reference lists that had English language publications...
May 8, 2018: Human Resources for Health
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