AIMC Topic: Humans

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Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning.

Analytical chemistry Feb 22, 2019
CD8 T cells constitute an essential compartment of the adaptive immune system. During immune responses, naı̈ve T cells become functional, as they are primed with their cognate determinants by the antigen presenting cells. Current methods of identifyi...
Humans Deep Learning CD8-Positive T-Lymphocytes Microscopy, Phase-Contrast
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Modelling PTSD diagnosis using sleep, memory, and adrenergic metabolites: An exploratory machine-learning study.

Human psychopharmacology Feb 22, 2019
OBJECTIVE: Features of posttraumatic stress disorder (PTSD) typically include sleep disturbances, impaired declarative memory, and hyperarousal. This study evaluated whether these combined features may accurately delineate pathophysiological changes ...
Sleep Memory Disorders Epinephrine Memory Cohort Studies Stress Disorders, Post-Traumatic Norepinephrine Sleep Wake Disorders Humans Machine Learning Female Young Adult Adult Cross-Sectional Studies
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Deep Learning-Based Framework for Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain.

Sensors (Basel, Switzerland) Feb 22, 2019
The main goal of brain cancer surgery is to perform an accurate resection of the tumor, preserving as much normal brain tissue as possible for the patient. The development of a non-contact and label-free method to provide reliable support for tumor r...
Computational Biology Support Vector Machine Glioblastoma Brain Humans Precision Medicine Algorithms Deep Learning Image Processing, Computer-Assisted
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Physiological and kinematic effects of a soft exosuit on arm movements.

Journal of neuroengineering and rehabilitation Feb 22, 2019
BACKGROUND: Soft wearable robots (exosuits), being lightweight, ergonomic and low power-demanding, are attractive for a variety of applications, ranging from strength augmentation in industrial scenarios, to medical assistance for people with motor i...
Biomechanical Phenomena Male Wearable Electronic Devices Robotics Humans Female Adult Exoskeleton Device Muscle Fatigue Self-Help Devices Hamstring Muscles Torque Arm Isometric Contraction Elbow Movement Electromyography Prosthesis Design
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Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data.

PloS one Feb 22, 2019
BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagnosis remains challenging due to complex presentation. Our objective was to develop a model using readily available electronic health record (EHR) data...
Infant Models, Biological Electronic Health Records Diagnosis, Computer-Assisted Critical Care Female Humans Sepsis Infant, Newborn Machine Learning Male Retrospective Studies
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Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns.

PloS one Feb 22, 2019
BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) is essential for timely treatment. Machine learning and multivariate pattern analysis (MVPA) for the diagnosis of brain disorders are explicitly attracting at...
Male Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Female Aged Aged, 80 and over Brain Mapping Alzheimer Disease Humans Republic of Korea
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Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

PloS one Feb 22, 2019
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patie...
Electronic Mail California Computer Security Demography Health Literacy Physician-Patient Relations Data Mining Physicians, Primary Care Female Male Diabetes Mellitus Natural Language Processing Humans Machine Learning
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Automatic classification of tissues on pelvic MRI based on relaxation times and support vector machine.

PloS one Feb 22, 2019
Tissue segmentation and classification in MRI is a challenging task due to a lack of signal intensity standardization. MRI signal is dependent on the acquisition protocol, the coil profile, the scanner type, etc. While we can compute quantitative phy...
Humans Prospective Studies Adult Male Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Pelvis
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Use of a robotic camera holder (FreeHand) for laparoscopic appendicectomy.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy Feb 21, 2019
Use of a mechanical arm to hold the laparoscopic camera has many advantages. FreeHand (FreeHand Ltd, Guildford, United Kingdom) is a robotic camera holder which uses head movement and infrared technology. This trial assessed the usefulness of FreeHa...
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Surgeons Middle Aged Adolescent Humans Cohort Studies Prospective Studies Child Female Young Adult Robotics Aged Adult Laparoscopy Male Appendectomy
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The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning.

IEEE transactions on bio-medical engineering Feb 21, 2019
OBJECTIVE: This paper describes how non-invasive wearable sensors can be used in combination with deep learning to classify artificially induced gait alterations without the requirement for a medical professional or gait analyst to be present. This a...
Shoes Gait Pressure Gait Analysis Foot Humans Equipment Design Young Adult Signal Processing, Computer-Assisted Adult Walking Deep Learning Wearable Electronic Devices
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