Publications by authors named "M Mollura"
Background: Acoustic challenges impose demands on cognitive resources, known as listening effort (LE), which can substantially influence speech perception and communication. Standardized assessment protocols for monitoring LE are lacking, hindering the development of adaptive hearing assistive technology.
New Method: We employed an adaptive protocol, including a speech-in-noise test and personalized definition of task demand, to assess LE and its physiological correlates.
Article Synopsis
- The study evaluates the role of cardiorespiratory variables in a Reinforcement Learning (RL) model designed to optimize drug treatment strategies for septic patients in the ICU.
- The RL model developed showcases a significant performance boost when using cardiorespiratory data, outperforming other models that utilized different sets of features.
- The findings advocate for real-time recommendation systems in sepsis treatment, leveraging the continuous availability of cardiorespiratory monitoring data.
Article Synopsis
- REM Sleep Behavior Disorder (RBD) is linked to an increased risk of developing neurodegenerative diseases like Parkinson's and dementia, prompting a study of autonomic dysfunction in RBD patients.* -
- The study used advanced methods to analyze sleep patterns and heart rate variability, revealing that RBD patients generally experience lower heart rate variability and are more likely to transition to lighter sleep stages.* -
- Although RBD patients suffer from fragmented sleep and autonomic issues, those with Parkinson's displayed better sleep continuity, potentially due to relief from their PD symptoms during sleep.*
Radiomics features (RFs) serve as quantitative metrics to characterize shape, density/intensity, and texture patterns in radiological images. Despite their promise, RFs exhibit reproducibility challenges across acquisition settings, thus limiting implementation into clinical practice. In this investigation, we evaluate the effects of different CT scanners and CT acquisition protocols (KV, mA, field-of-view, and reconstruction kernel settings) on RFs extracted from lumbar vertebrae of a cadaveric trunk.
View Article and Find Full Text PDFRadiomics features (RFs) studies have showed limitations in the reproducibility of RFs in different acquisition settings. To date, reproducibility studies using CT images mainly rely on phantoms, due to the harness of patient exposure to X-rays. The provided CadAIver dataset has the aims of evaluating how CT scanner parameters effect radiomics features on cadaveric donor.
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