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https://www.readbyqxmd.com/read/27913539/prevention-of-central-nervous-system-sequelae-in-sickle-cell-disease-without-evidence-from-randomized-controlled-trials-the-case-for-a-team-based-learning-collaborative
#1
Michael R DeBaun, Allison A King
Since 1998, the National Institutes of Health has funded 5 randomized controlled trials (RCTs) for primary and secondary prevention of strokes in children with sickle cell anemia (SCA). In a systematic fashion, these trials have significantly advanced the care of children with SCA. In the absence of an RCT, clinicians are often compelled to make decisions at the bedside, based on experience, observational studies, and principles of hematology. We will provide an initial example that describes how a team-based, learning collaborative developed a multisite standard care protocol with a low budget (<$10 000 per year) to overcome the intrinsic limitations of advancing the care of neurologic complications in sickle cell disease (SCD)...
December 2, 2016: Hematology—the Education Program of the American Society of Hematology
https://www.readbyqxmd.com/read/27913369/adaptive-optimal-control-using-frequency-selective-information-of-the-system-uncertainty-with-application-to-unmanned-aircraft
#2
Arnab Maity, Leonhard Hocht, Christian Heise, Florian Holzapfel
A new efficient adaptive optimal control approach is presented in this paper based on the indirect model reference adaptive control (MRAC) architecture for improvement of adaptation and tracking performance of the uncertain system. The system accounts here for both matched and unmatched unknown uncertainties that can act as plant as well as input effectiveness failures or damages. For adaptation of the unknown parameters of these uncertainties, the frequency selective learning approach is used. Its idea is to compute a filtered expression of the system uncertainty using multiple filters based on online instantaneous information, which is used for augmentation of the update law...
November 28, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27913345/facial-age-estimation-with-age-difference
#3
Zhenzhen Hu, Yonggang Wen, Jianfeng Wang, Meng Wang, Richang Hong, Shuicheng Yan
Age estimation based on the human face remains a significant problem in computer vision and pattern recognition. In order to estimate an accurate age or age group of a facial image, most of the existing algorithms require a huge face data set attached with age labels. This imposes a constraint on the utilization of the immensely unlabeled or weakly labeled training data, e.g. the huge amount of human photos in the social networks. These images may provide no age label, but it is easily to derive the age difference for an image pair of the same person...
December 1, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/27912956/further-comments-on-some-core-arguments-from-a-discussion-about-is-traditional-chinese-medicine-really-relevant
#4
Xiao Ye
A discussion on "Is traditional Chinese medicine (TCM) really relevant?" was held in the University College London (UCL) on the afternoon of 31st March, 2015. The author summarized some core viewpoints of the participants and then tried to focus on the opponent's opinions to clear up the arguments by illustrating respects of history, knowledge learning process, evidence based medicine (EBM) and strengths of TCM. This article will propose that the human health is extremely delicate and complicated and that no system of medicine can resolve all the problems of the human body...
December 2016: Complementary Therapies in Medicine
https://www.readbyqxmd.com/read/27911490/what-does-it-take-to-learn-a-word
#5
REVIEW
Larissa K Samuelson, Bob McMurray
Vocabulary learning is deceptively hard, but toddlers often make it look easy. Prior theories proposed that children's rapid acquisition of words is based on language-specific knowledge and constraints. In contrast, more recent work converges on the view that word learning proceeds via domain-general processes that are tuned to richly structured-not impoverished-input. We argue that new theoretical insights, coupled with methodological tools, have pushed the field toward an appreciation of simple, content-free processes working together as a system to support the acquisition of words...
December 1, 2016: Wiley Interdisciplinary Reviews. Cognitive Science
https://www.readbyqxmd.com/read/27909646/the-neural-mechanisms-of-meditative-practices-novel-approaches-for-healthy-aging
#6
REVIEW
Bianca P Acevedo, Sarah Pospos, Helen Lavretsky
OBJECTIVES: Meditation has been shown to have physical, cognitive, and psychological health benefits that can be used to promote healthy aging. However, the common and specific mechanisms of response remain elusive due to the diverse nature of mind-body practices. METHODS: In this review, we aim to compare the neural circuits implicated in focused-attention meditative practices that focus on present-moment awareness to those involved in active-type meditative practices (e...
2016: Current Behavioral Neuroscience Reports
https://www.readbyqxmd.com/read/27909613/the-novel-laparoscopic-training-3d-model-in-urology-with-surgical-anatomic-remarks-fresh-frozen-cadaveric-tissue
#7
REVIEW
Emre Huri, Mehmet Ezer, Eddie Chan
Laparoscopic surgery is routinely used to treat many urological conditions and it is the gold standard treatment option for many surgeries such as radical nephrectomy. Due to the difficulty of learning, laparoscopic training should start outside the operating room. Although it is a very different model of laparoscopic training; the aim of this review is to show the value of human cadaveric model for laparoscopic training and present our experience in this area. Fresh frozen cadaveric model in laparoscopic training, dry lab, cadaveric model, animal models and computer based simulators are the most commonly used models for laparoscopic training...
December 2016: Turkish Journal of Urology
https://www.readbyqxmd.com/read/27909260/prioritizing-and-funding-nepal-s-multisector-nutrition-plan
#8
Amanda Pomeroy-Stevens, Madhukar B Shrestha, Monica Biradavolu, Kusum Hachhethu, Robin Houston, Indu Sharma, Jolene Wun
BACKGROUND: Nepal has a long tradition of designing good multisectoral nutrition policy. However, success of policy implementation has varied. More evidence on how to successfully carry out multisector nutrition policy is needed. OBJECTIVE: We tracked the influence of Nepal's multisectoral nutrition plan (MSNP) on the process of priority setting and budgeting from 2014 to 2016. METHODS: This study used a mixed-method longitudinal design to track qualitative and budgetary changes related to MSNP processes nationally as well as in 3 districts...
December 2016: Food and Nutrition Bulletin
https://www.readbyqxmd.com/read/27909020/the-design-and-transformation-of-biofundamentals-a-nonsurvey-introductory-evolutionary-and-molecular-biology-course
#9
Michael W Klymkowsky, Jeremy D Rentsch, Emina Begovic, Melanie M Cooper
Many introductory biology courses amount to superficial surveys of disconnected topics. Often, foundational observations and the concepts derived from them and students' ability to use these ideas appropriately are overlooked, leading to unrealistic expectations and unrecognized learning obstacles. The result can be a focus on memorization at the expense of the development of a meaningful framework within which to consider biological phenomena. About a decade ago, we began a reconsideration of what an introductory course should present to students and the skills they need to master...
2016: CBE Life Sciences Education
https://www.readbyqxmd.com/read/27908171/automated-detection-of-white-matter-hyperintensities-of-all-sizes-in-cerebral-small-vessel-disease
#10
Mohsen Ghafoorian, Nico Karssemeijer, Inge W M van Uden, Frank-Erik de Leeuw, Tom Heskes, Elena Marchiori, Bram Platel
PURPOSE: White matter hyperintensities (WMH) are seen on FLAIR-MRI in several neurological disorders, including multiple sclerosis, dementia, Parkinsonism, stroke and cerebral small vessel disease (SVD). WMHs are often used as biomarkers for prognosis or disease progression in these diseases, and additionally longitudinal quantification of WMHs is used to evaluate therapeutic strategies. Human readers show considerable disagreement and inconsistency on detection of small lesions. A multitude of automated detection algorithms for WMHs exists, but since most of the current automated approaches are tuned to optimize segmentation performance according to Jaccard or Dice scores, smaller WMHs often go undetected in these approaches...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27908167/computer-aided-prognosis-for-cell-death-categorization-and-prediction-in-vivo-using-quantitative-ultrasound-and-machine-learning-techniques
#11
M J Gangeh, A Hashim, A Giles, L Sannachi, G J Czarnota
PURPOSE: At present, a one-size-fits-all approach is typically used for cancer therapy in patients. This is mainly because there is no current imaging-based clinical standard for the early assessment and monitoring of cancer treatment response. Here, the authors have developed, for the first time, a complete computer-aided-prognosis (CAP) system based on multiparametric quantitative ultrasound (QUS) spectroscopy methods in association with texture descriptors and advanced machine learning techniques...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27908158/similarity-measurement-of-lung-masses-for-medical-image-retrieval-using-kernel-based-semisupervised-distance-metric
#12
Guohui Wei, He Ma, Wei Qian, Min Qiu
PURPOSE: To develop a new algorithm to measure the similarity between the query lung mass and reference lung mass data set for content-based medical image retrieval (CBMIR). METHODS: A lung mass data set including 746 mass regions of interest (ROIs) was assembled. Among them, 375 ROIs depicted malignant lesions and 371 depicted benign lesions. Each mass ROI is represented by a vector of 26 texture features. A kernel function was employed to map the original data in input space to a feature space...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27908154/mass-detection-in-digital-breast-tomosynthesis-deep-convolutional-neural-network-with-transfer-learning-from-mammography
#13
Ravi K Samala, Heang-Ping Chan, Lubomir Hadjiiski, Mark A Helvie, Jun Wei, Kenny Cha
PURPOSE: Develop a computer-aided detection (CAD) system for masses in digital breast tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with transfer learning from mammograms. METHODS: A data set containing 2282 digitized film and digital mammograms and 324 DBT volumes were collected with IRB approval. The mass of interest on the images was marked by an experienced breast radiologist as reference standard. The data set was partitioned into a training set (2282 mammograms with 2461 masses and 230 DBT views with 228 masses) and an independent test set (94 DBT views with 89 masses)...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27905893/computational-prediction-of-multidisciplinary-team-decision-making-for-adjuvant-breast-cancer-drug-therapies-a-machine-learning-approach
#14
Frank P Y Lin, Adrian Pokorny, Christina Teng, Rachel Dear, Richard J Epstein
BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about treatment options, but such expertise is not digitally transferable between centres. To help standardise medical decision-making, we developed a machine learning model designed to predict MDT decisions about adjuvant breast cancer treatments. METHODS: We analysed MDT decisions regarding adjuvant systemic therapy for 1065 breast cancer cases over eight years. Machine learning classifiers with and without bootstrap aggregation were correlated with MDT decisions (recommended, not recommended, or discussable) regarding adjuvant cytotoxic, endocrine and biologic/targeted therapies, then tested for predictability using stratified ten-fold cross-validations...
December 1, 2016: BMC Cancer
https://www.readbyqxmd.com/read/27903489/finding-important-terms-for-patients-in-their-electronic-health-records-a-learning-to-rank-approach-using-expert-annotations
#15
Jinying Chen, Jiaping Zheng, Hong Yu
BACKGROUND: Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients' notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them...
November 30, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27902562/enhancing-themes-and-strengths-assessment-leveraging-academic-led-qualitative-inquiry-in-community-health-assessment-to-uncover-roots-of-community-health-inequities
#16
Jennifer Hebert-Beirne, Jennifer K Felner, Yvette Castañeda, Sheri Cohen
CONTEXT: Rigorous qualitative research can enhance local health departments' efforts to gain a deeper insight into residents' perceived community health inequities necessary for productive community health assessments (CHAs) and community health improvement plans (CHIPs). OBJECTIVE: The Chicago Department of Public Health and the Partnership for Healthy Chicago used the National Association of County & City Health Officials' Mobilizing for Action through Planning and Partnerships (MAPP) model to conduct its CHA/CHIP, Healthy Chicago 2...
November 28, 2016: Journal of Public Health Management and Practice: JPHMP
https://www.readbyqxmd.com/read/27900747/-the-positionality-of-caring-action-small-group-dialogue-in-a-course-on-nursing-ethics
#17
Hsien-Hsien Chiang
BACKGROUND: The content of nursing-ethics education has typically focused on the external standards of caring behavior and neglected the relationship between the ethical attitudes and internal experiences of caregivers. PURPOSE: To explore the embodied experience in order to define the positionality of caring action, which is necessary to enrich the content of nursing ethics through small-group-learning-based dialogue. METHODS: The researcher, as a participant observer, teaches a course on nursing ethics...
December 2016: Hu Li za Zhi the Journal of Nursing
https://www.readbyqxmd.com/read/27896982/predictive-modeling-of-hospital-readmission-rates-using-electronic-medical-record-wide-machine-learning-a-case-study-using-mount-sinai-heart-failure-cohort
#18
Khader Shameer, Kipp W Johnson, Alexandre Yahi, Riccardo Miotto, L I Li, Doran Ricks, Jebakumar Jebakaran, Patricia Kovatch, Partho P Sengupta, Sengupta Gelijns, Alan Moskovitz, Bruce Darrow, David L David, Andrew Kasarskis, Nicholas P Tatonetti, Sean Pinney, Joel T Dudley
Reduction of preventable hospital readmissions that result from chronic or acute conditions like stroke, heart failure, myocardial infarction and pneumonia remains a significant challenge for improving the outcomes and decreasing the cost of healthcare delivery in the United States. Patient readmission rates are relatively high for conditions like heart failure (HF) despite the implementation of high-quality healthcare delivery operation guidelines created by regulatory authorities. Multiple predictive models are currently available to evaluate potential 30-day readmission rates of patients...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27896310/preservation-of-essential-odor-guided-behaviors-and-odor-based-reversal-learning-after-targeting-adult-brain-serotonin-synthesis
#19
Kaitlin S Carlson, Meredith S Whitney, Marie A Gadziola, Evan S Deneris, Daniel W Wesson
The neurotransmitter serotonin (5-HT) is considered a powerful modulator of sensory system organization and function in a wide range of animals. The olfactory system is innervated by midbrain 5-HT neurons into both its primary and secondary odor-processing stages. Facilitated by this circuitry, 5-HT and its receptors modulate olfactory system function, including odor information input to the olfactory bulb. It is unknown, however, whether the olfactory system requires 5-HT for even its most basic behavioral functions...
September 2016: ENeuro
https://www.readbyqxmd.com/read/27895562/brain-computation-is-organized-via-power-of-two-based-permutation-logic
#20
Kun Xie, Grace E Fox, Jun Liu, Cheng Lyu, Jason C Lee, Hui Kuang, Stephanie Jacobs, Meng Li, Tianming Liu, Sen Song, Joe Z Tsien
There is considerable scientific interest in understanding how cell assemblies-the long-presumed computational motif-are organized so that the brain can generate intelligent cognition and flexible behavior. The Theory of Connectivity proposes that the origin of intelligence is rooted in a power-of-two-based permutation logic (N = 2 (i) -1), producing specific-to-general cell-assembly architecture capable of generating specific perceptions and memories, as well as generalized knowledge and flexible actions. We show that this power-of-two-based permutation logic is widely used in cortical and subcortical circuits across animal species and is conserved for the processing of a variety of cognitive modalities including appetitive, emotional and social information...
2016: Frontiers in Systems Neuroscience
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