Results 41 to 50 of about 549,762 (295)

Comparison of sleep in hypothyroid patients with normal controls

National Journal of Physiology, Pharmacy and Pharmacology, 2017
Background: Sleep - A complex amalgam of behavioral and electrophysiological process is maintained by organized interaction between neurons, neural circuits, and neurotransmitters.
Kavitha Sivaprakasam, Shanthimalar Ramamoorthy   +1 more
doaj   +1 more source

Salivary melatonin onset in youth at familial risk for bipolar disorder [PDF]

, 2019
Melatonin secretion and polysomnography (PSG) were compared among a group of healthy adolescents who were at high familial risk for bipolar disorder (HR) and a second group at low familial risk (LR).
Armitage, Roseanne, Bertram, Holli, Fullerton, Janice M., Ghaziuddin, Neera, Glowinski, Anne L., Hulvershorn, Leslie A., Kamali, Masoud, McInnis, Melvin, Mitchell, Philip B., Nurnberger, John, Roberts, Gloria M. P., Shamseddeen, Wael, Stapp, Emma, Wilcox, Holly C.   +13 more
core   +2 more sources

Comparing polysomnography auto scoring with the standard of care in sleep medicine

Annals of Thoracic Medicine
BACKGROUND: Manual polysomnography is considered as the gold-standard for diagnosis of sleep disorders. However, it is a labor intensive and time-consuming task and is being replaced by automated sleep scoring systems. METHODS: This cross-sectional study
Faris Alhejaili
doaj   +1 more source

Improving time–frequency domain sleep EEG classification via singular spectrum analysis [PDF]

, 2016
Background: Manual sleep scoring is deemed to be tedious and time consuming. Even among automatic methods such as Time-Frequency (T-F) representations, there is still room for more improvement.
Ghavami, M, Ghavami, M, Kouchaki, S, Kouchaki, S, Mahvash Mohammadi, S, Mahvash Mohammadi, S, Sanei, S, Sanei, S   +7 more
core   +2 more sources

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Employing a Convolutional Neural Network to Classify Sleep Stages from EEG Signals Using Feature Reduction Techniques

Algorithms
One of the most essential components of human life is sleep. One of the first steps in spotting abnormalities connected to sleep is classifying sleep stages.
Maadh Rajaa Mohammed, Ali Makki Sagheer
doaj   +1 more source

Automatic sleep staging using ear-EEG [PDF]

BioMedical Engineering OnLine, 2017
Sleep and sleep quality assessment by means of sleep stage analysis is important for both scientific and clinical applications. Unfortunately, the presently preferred method, polysomnography (PSG), requires considerable expert assistance and significantly affects the sleep of the person under observation.
Kaare B. Mikkelsen, David Bové Villadsen, Marit Otto, Preben Kidmose   +3 more
openaire   +4 more sources

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

A Comparative Study between SVM and Fuzzy Inference System for the Automatic Prediction of Sleep Stages and the Assessment of Sleep Quality

EAI Endorsed Transactions on Pervasive Health and Technology, 2015
This paper compares two supervised learning algorithms for predicting the sleep stages based on the human brain activity. The first step of the presented work regards feature extraction from real human electroencephalography (EEG) data together with its ...
John Gialelis, Chris Panagiotou, Ioakeim Samaras, Petros Chondros, Dimitris Karadimas   +4 more
doaj   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source