Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide... more Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. NAFLD patients have excessive liver fat (steatosis), without other liver diseases and without excessive alcohol consumption. NAFLD consists of a spectrum of conditions: benign steatosis or non-alcoholic fatty liver (NAFL), steatosis accompanied by inflammation and fibrosis or nonalcoholic steatohepatitis (NASH), and cirrhosis. Given a lack of clinical biomarkers and its asymptomatic nature, NASH is under-diagnosed. We use electronic health records from the Optum Analytics to (1) identify patients diagnosed with benign steatosis and NASH, and (2) train machine learning classifiers for NASH and healthy (non-NASH) populations to (3) predict NASH disease status on patients diagnosed with NAFL. Summarized temporal lab data for alanine aminotransferase, aspartate aminotransferase, and platelet counts, with basic demographic information and type 2 diabetes status were included in the models.
Yoga Nidra practice aims to induce a deeply relaxed state akin to sleep while maintaining heighte... more Yoga Nidra practice aims to induce a deeply relaxed state akin to sleep while maintaining heightened awareness. Despite the growing interest in its clinical applications, a comprehensive understanding of the underlying neural correlates of the practice of Yoga Nidra (YN) remains largely unexplored. In this novel fMRI investigation, we aim to discover the differences between wakeful resting states and states attained during YN practice. The study included individuals experienced in meditation and/or yogic practices, referred to as ‘meditators’ (n=30), and novice controls (n=31). The GLM analysis, based on audio instructions, demonstrated activation related to auditory cues without concurrent Default Mode Network (DMN) deactivation. Additionally, meditators exhibited heightened bilateral thalamic activation compared to novices. DMN seed based Functional connectivity (FC) analysis revealed significant reductions in connectivity among meditators during YN as compared to controls. We did...
Correction for ‘Characterizing surface wetting and interfacial properties using enhanced sampling... more Correction for ‘Characterizing surface wetting and interfacial properties using enhanced sampling (SWIPES)’ by Hao Jiang et al., Soft Matter, 2019, 15, 860–869, DOI: 10.1039/C8SM02317D.
UNDERSTANDING DEWETTING TRANSITIONS ON NANOTEXTURED SURFACES: IMPLICATIONS FOR DESIGNING SURFACES... more UNDERSTANDING DEWETTING TRANSITIONS ON NANOTEXTURED SURFACES: IMPLICATIONS FOR DESIGNING SURFACES WITH IMPROVED WETTABILITY
The free energetics of water density fluctuations in bulk water, at interfaces, and in hydrophobi... more The free energetics of water density fluctuations in bulk water, at interfaces, and in hydrophobic confinement inform the hydration of hydrophobic solutes as well as their interactions and assembly. The characterization of such free energetics is typically performed using enhanced sampling techniques such as umbrella sampling. In umbrella sampling, order parameter distributions obtained from adjacent biased simulations must overlap in order to estimate free energy differences between biased ensembles. Many biased simulations are typically required to ensure such overlap, which exacts a steep computational cost. We recently introduced a sparse sampling method, which circumvents the overlap requirement by using thermodynamic integration to estimate free energy differences between biased ensembles. Here we build upon and generalize sparse sampling for characterizing the free energetics of water density fluctuations in systems near liquid-vapor coexistence. We also introduce sensible he...
We introduce an accurate and efficient method for characterizing surface wetting and interfacial ... more We introduce an accurate and efficient method for characterizing surface wetting and interfacial properties, such as the contact angle made by a liquid droplet on a solid surface, and the vapor–liquid surface tension of a fluid.
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide... more Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. NAFLD patients have excessive liver fat (steatosis), without other liver diseases and without excessive alcohol consumption. NAFLD consists of a spectrum of conditions: benign steatosis or non-alcoholic fatty liver (NAFL), steatosis accompanied by inflammation and fibrosis or nonalcoholic steatohepatitis (NASH), and cirrhosis. Given a lack of clinical biomarkers and its asymptomatic nature, NASH is under-diagnosed. We use electronic health records from the Optum Analytics to (1) identify patients diagnosed with benign steatosis and NASH, and (2) train machine learning classifiers for NASH and healthy (non-NASH) populations to (3) predict NASH disease status on patients diagnosed with NAFL. Summarized temporal lab data for alanine aminotransferase, aspartate aminotransferase, and platelet counts, with basic demographic information and type 2 diabetes status were included in the models.
Yoga Nidra practice aims to induce a deeply relaxed state akin to sleep while maintaining heighte... more Yoga Nidra practice aims to induce a deeply relaxed state akin to sleep while maintaining heightened awareness. Despite the growing interest in its clinical applications, a comprehensive understanding of the underlying neural correlates of the practice of Yoga Nidra (YN) remains largely unexplored. In this novel fMRI investigation, we aim to discover the differences between wakeful resting states and states attained during YN practice. The study included individuals experienced in meditation and/or yogic practices, referred to as ‘meditators’ (n=30), and novice controls (n=31). The GLM analysis, based on audio instructions, demonstrated activation related to auditory cues without concurrent Default Mode Network (DMN) deactivation. Additionally, meditators exhibited heightened bilateral thalamic activation compared to novices. DMN seed based Functional connectivity (FC) analysis revealed significant reductions in connectivity among meditators during YN as compared to controls. We did...
Correction for ‘Characterizing surface wetting and interfacial properties using enhanced sampling... more Correction for ‘Characterizing surface wetting and interfacial properties using enhanced sampling (SWIPES)’ by Hao Jiang et al., Soft Matter, 2019, 15, 860–869, DOI: 10.1039/C8SM02317D.
UNDERSTANDING DEWETTING TRANSITIONS ON NANOTEXTURED SURFACES: IMPLICATIONS FOR DESIGNING SURFACES... more UNDERSTANDING DEWETTING TRANSITIONS ON NANOTEXTURED SURFACES: IMPLICATIONS FOR DESIGNING SURFACES WITH IMPROVED WETTABILITY
The free energetics of water density fluctuations in bulk water, at interfaces, and in hydrophobi... more The free energetics of water density fluctuations in bulk water, at interfaces, and in hydrophobic confinement inform the hydration of hydrophobic solutes as well as their interactions and assembly. The characterization of such free energetics is typically performed using enhanced sampling techniques such as umbrella sampling. In umbrella sampling, order parameter distributions obtained from adjacent biased simulations must overlap in order to estimate free energy differences between biased ensembles. Many biased simulations are typically required to ensure such overlap, which exacts a steep computational cost. We recently introduced a sparse sampling method, which circumvents the overlap requirement by using thermodynamic integration to estimate free energy differences between biased ensembles. Here we build upon and generalize sparse sampling for characterizing the free energetics of water density fluctuations in systems near liquid-vapor coexistence. We also introduce sensible he...
We introduce an accurate and efficient method for characterizing surface wetting and interfacial ... more We introduce an accurate and efficient method for characterizing surface wetting and interfacial properties, such as the contact angle made by a liquid droplet on a solid surface, and the vapor–liquid surface tension of a fluid.
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Papers by Suruchi Fialoke