Current State of Diffusion-Weighted Imaging and Diffusion Tensor Imaging for Traumatic Brain Injury Prognostication
This article will review the fundamentals of DTI, providing an overview of the current state of its utility in evaluating and providing prognosis in patients with TBI. (Source: Neuroimaging Clinics)
Source: Neuroimaging Clinics - March 24, 2023 Category: Radiology Authors: Matthew Grant, JiaJing Liu, Max Wintermark, Ulas Bagci, David Douglas Source Type: research

Wearables Measuring Electrodermal Activity to Assess Perceived Stress in Care: A Scoping Review
CONCLUSION: Wearable EDA sensors are promising in detecting perceived stress. Field studies with relevant populations in a health or care context are lacking. Future studies should focus on the application of EDA-measuring wearables in real-life situations to support stress management.PMID:36960675 | DOI:10.1017/neu.2023.19 (Source: Acta Neuropsychiatrica)
Source: Acta Neuropsychiatrica - March 24, 2023 Category: Psychiatry Authors: Agata Klimek Ittay Mannheim Gerard Schouten Eveline J Wouters Manon W H Peeters Source Type: research

Network modeling helps to tackle the complexity of drug –disease systems
This article is categorized under: Neurological Diseases> Computational Models Infectious Diseases> Computational Models Cardiovascular Diseases> Computational Models (Source: Wiley Interdisciplinary Reviews: Systems Biology and Medicine)
Source: Wiley Interdisciplinary Reviews: Systems Biology and Medicine - March 24, 2023 Category: Biomedical Science Authors: Maurizio Recanatini, Luca Menestrina Tags: Focus Article Source Type: research

Stronger together: Supporting Generation Z college students through relational ‐cultural therapy
This article examines this and how college counselors ’ use of relational-cultural therapy can lead to collective healing. (Source: The Journal of Humanistic Counseling)
Source: The Journal of Humanistic Counseling - March 24, 2023 Category: Psychiatry & Psychology Authors: Taylor Sweet, Ramya Avadhanam Tags: INNOVATIONS IN PRACTICE Source Type: research

Leverage “experiential intelligence” to transform your organization
AbstractThe author goes beyond IQ (intelligence quotient) and Emotional Intelligence (EQ) to introduce “Experiential Intelligence, or XQ.” For all three qualities, which complement each other, he provides a chart regarding focus, definition, and scope. He defines XQ as “the combination of mindsets, abilities, and know-how gained from your unique life experience.” It has three components, whic h in his words are mindsets (“Attitudes and beliefs about oneself, other people, and the world”), abilities (“Competencies that help integrate knowledge, skills and experiences to respond to situations in the most effect...
Source: Leader to Leader - March 24, 2023 Category: Health Management Authors: Soren Kaplan Tags: HESSELBEIN & COMPANY Source Type: research

AlphaFold predicts novel human proteins with knots
This article is protected by copyright. All rights reserved. (Source: Protein Science)
Source: Protein Science - March 24, 2023 Category: Biochemistry Authors: Agata P. Perlinska, Wanda H. Niemyska, Bartosz A. Gren, Marek Bukowicki, Szymon Nowakowski, Pawel Rubach, Joanna I. Sulkowska Tags: FULL ‐LENGTH PAPER Source Type: research

Predicting heart failure in-hospital mortality by integrating longitudinal and category data in electronic health records
AbstractHeart failure is a life-threatening syndrome that is diagnosed in 3.6 million people worldwide each year. We propose a deep fusion learning model (DFL-IMP) that uses time series and category data from electronic health records to predict in-hospital mortality in patients with heart failure. We considered 41 time series features (platelets, white blood cells, urea nitrogen, etc.) and 17 category features (gender, insurance, marital status, etc.) as predictors, all of which were available within the time of the patient ’s last hospitalization, and a total of 7696 patients participated in the observational study. Ou...
Source: Medical and Biological Engineering and Computing - March 24, 2023 Category: Biomedical Engineering Source Type: research

A systematic scoping review on the evidence behind debriefing practices for the wellbeing/emotional outcomes of healthcare workers
DiscussionThe current review provides a clear map of our existing understanding and highlights the need for more systematic, collaborative and rigorous bodies of evidence to determine the potential of debriefing to support the emotional outcomes of those working within healthcare.Systematic Review Registration (Source: Frontiers in Psychiatry)
Source: Frontiers in Psychiatry - March 24, 2023 Category: Psychiatry Source Type: research

A computer vision approach for analyzing label free leukocyte trafficking dynamics on a microvascular mimetic
High-content imaging techniques in conjunction with in vitro microphysiological systems (MPS) allow for novel explorations of physiological phenomena with a high degree of translational relevance due to the usage of human cell lines. MPS featuring ultrathin and nanoporous silicon nitride membranes (µSiM) have been utilized in the past to facilitate high magnification phase contrast microscopy recordings of leukocyte trafficking events in a living mimetic of the human vascular microenvironment. Notably, the imaging plane can be set directly at the endothelial interface in a µSiM device, resulting in a high-resolution capt...
Source: Frontiers in Immunology - March 24, 2023 Category: Allergy & Immunology Source Type: research

Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging
ConclusionOur results suggest that the proposed unsupervised algorithm can achieve promising hyperspectral demosaicking in real-time thus advancing the suitability of the modality for intraoperative use. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - March 24, 2023 Category: Intensive Care Source Type: research

Sensors, Vol. 23, Pages 3409: Compensating for Sensing Failures via Delegation in Human & ndash;AI Hybrid Systems
Sensors, Vol. 23, Pages 3409: Compensating for Sensing Failures via Delegation in Human–AI Hybrid Systems Sensors doi: 10.3390/s23073409 Authors: Andrew Fuchs Andrea Passarella Marco Conti Given the increasing prevalence of intelligent systems capable of autonomous actions or augmenting human activities, it is important to consider scenarios in which the human, autonomous system, or both can exhibit failures as a result of one of several contributing factors (e.g., perception). Failures for either humans or autonomous agents can lead to simply a reduced performance level, or a failure can lead to some...
Source: Sensors - March 24, 2023 Category: Biotechnology Authors: Andrew Fuchs Andrea Passarella Marco Conti Tags: Article Source Type: research

Detection and Prediction of Sleep Disorders by Covert Bed-Integrated RF Sensors
Conclusion: A bed-integrated RF sensor can covertly and reliably detect and predict apneic events- Significance: Predictive warning of the sleep disorders in advance can intervene serious apnea, especially for infants, servicemen, and patients with chronic conditions. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - March 23, 2023 Category: Biomedical Engineering Source Type: research

DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation
Conclusion: DeeptDCS is at least two orders of magnitudes faster than a physics-based open-source simulator, while providing satisfactorily accurate results. Significance: The high computational efficiency permits the use of DeeptDCS in applications requiring its repetitive execution, such as uncertainty quantification and optimization studies of tDCS. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - March 23, 2023 Category: Biomedical Engineering Source Type: research

Unsupervised Detection of Sub-Territories of the Subthalamic Nucleus During DBS Surgery With Manifold Learning
We present detection results on 25 sets of measurements recorded from 16 patients during surgery. Compared to a supervised algorithm, our unsupervised method demonstrates similar results in detecting the STN and superior results in detecting the DLOR. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - March 23, 2023 Category: Biomedical Engineering Source Type: research

Noise-Robust Sleep Staging via Adversarial Training With an Auxiliary Model
Deep learning (DL)-based automatic sleep staging approaches have attracted much attention recently due in part to their outstanding accuracy. At the testing stage, however, the performance of these approaches is likely to be degraded, when applied in different testing environments, because of the problem of domain shift. This is because while a pre-trained model is typically trained on noise-free electroencephalogram (EEG) signals acquired from accurate medical equipment, deployment is carried out on consumer-level devices with undesirable noise. To alleviate this challenge, in this work, we propose an efficient training a...
Source: IEEE Transactions on Biomedical Engineering - March 23, 2023 Category: Biomedical Engineering Source Type: research