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A State-Of-The-Art Review on Coronary Artery Border Segmentation Algorithms for Intravascular Ultrasound (IVUS) Images
Intravascular Ultrasound images (IVUS) is a useful guide for medical practitioners to identify the vascular status of coronary arteries in human...
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A prognostic neural epigenetic signature in high-grade glioma
Neural–tumor interactions drive glioma growth as evidenced in preclinical models, but clinical validation is limited. We present an epigenetically...
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An automatic segmentation framework for computer-assisted renal scintigraphy procedure
One of the techniques for achieving unique and reliable information in medicine is renal scintigraphy. A key step for quantitative renal scintigraphy...
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EEG Complexity Analysis of Brain States, Tasks and ASD Risk
Autism spectrum disorder is an increasingly prevalent and debilitating neurodevelopmental condition and an electroencephalogram (EEG) diagnostic...
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S4D-ECG: A Shallow State-of-the-Art Model for Cardiac Abnormality Classification
PurposeThis study introduces an algorithm specifically designed for processing unprocessed 12-lead electrocardiogram (ECG) data, with the primary aim...
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A nonoscillatory, millisecond-scale embedding of brain state provides insight into behavior
The most robust and reliable signatures of brain states are enriched in rhythms between 0.1 and 20 Hz. Here we address the possibility that the...
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Chromatin insulation orchestrates matrix metalloproteinase gene cluster expression reprogramming in aggressive breast cancer tumors
BackgroundTriple-negative breast cancer (TNBC) is an aggressive subtype that exhibits a high incidence of distant metastases and lacks targeted...
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Intrinsic Brain Activity and Resting State Networks
Intrinsic brain activity, that is, neural processes unrelated to immediate sensory and motor functions, has been known to exist for nearly a century....
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Spatially resolved transcriptomic profiles reveal unique defining molecular features of infiltrative 5ALA-metabolizing cells associated with glioblastoma recurrence
BackgroundSpatiotemporal heterogeneity originating from genomic and transcriptional variation was found to contribute to subtype switching in...
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Develo** an Instrumented Measure of Upper Limb Function in Friedreich Ataxia
Upper limb function for people with Friedreich ataxia determines capacity to participate in daily activities. Current upper limb measures available...
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The cholinergic basal forebrain provides a parallel channel for state-dependent sensory signaling to auditory cortex
Cholinergic basal forebrain (CBF) signaling exhibits multiple timescales of activity with classic slow signals related to brain and behavioral states...
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Electrophysiological brain signatures for the classification of subjective cognitive decline: towards an individual detection in the preclinical stages of dementia
BackgroundAlzheimer’s disease (AD) prevalence is rapidly growing as worldwide populations grow older. Available treatments have failed to slow down...
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Novel approach for electromyography-controlled prostheses based on facial action
Individuals with severe tetraplegia frequently require to control their complex assistive devices using body movement with the remaining activity...
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Quantification of Parkinsonian Kinematic Patterns in Body-Segment Regions During Locomotion
PurposeDiagnosis and treatment of Parkinson’s Disease (PD) are typically supported by a kinematic gait analysis. Nonetheless, the main drawbacks of...
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Hippocampal representations of foraging trajectories depend upon spatial context
Animals learn trajectories to rewards in both spatial, navigational contexts and relational, non-navigational contexts. Synchronous reactivation of...
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Machine Learning for Alzheimer’s Disease and Related Dementias
Dementia denotes the condition that affects people suffering from cognitive and behavioral impairments due to brain damage. Common causes of dementia...
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Shared computational principles for language processing in humans and deep language models
Departing from traditional linguistic models, advances in deep learning have resulted in a new type of predictive (autoregressive) deep language...
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QSAR Methods
This chapter introduces the basis of computational chemistry and discusses how computational methods have been extended from physical to biological...
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Scale-free behaviour and metastable brain-state switching driven by human cognition, an empirical approach
We developed a framework to study brain dynamics under cognition. In particular, we investigated the spatiotemporal properties of brain state...
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Graph features based classification of bronchial and pleural rub sound signals: the potential of complex network unwrapped
The study presents a novel technique for lung auscultation based on graph theory, emphasizing the potential of graph parameters in distinguishing...
