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The Chemistry of CO2 Capture in an Amine-Functionalized Metal–Organic Framework under Dry and Humid Conditions

Journal of the American Chemical Society, 2017-09, Vol.139 (35), p.12125-12128

2017

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Practical water production from desert air

Science advances, 2018-06, Vol.4 (6), p.eaat3198-eaat3198

2018

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Rapid Cycling and Exceptional Yield in a Metal-Organic Framework Water Harvester

ACS central science, 2019-10, Vol.5 (10), p.1699-1706

2019

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Pulmonary Hypertension Detection Non-Invasively at Point-of-Care Using a Machine-Learned Algorithm

Diagnostics (Basel), 2024-05, Vol.14 (9), p.897

2024

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Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease

Diagnostics (Basel), 2024-04, Vol.14 (7), p.719

2024

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Clinical Validation of a Machine-Learned, Point-of-Care System to IDENTIFY Functionally Significant Coronary Artery Disease

Diagnostics (Basel), 2024-05, Vol.14 (10), p.987

2024

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Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease

Frontiers in cardiovascular medicine, 2022-09, Vol.9, p.956147-956147

2022

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Identifying novel phenotypes of elevated left ventricular end diastolic pressure using hierarchical clustering of features derived from electromechanical waveform data

Frontiers in cardiovascular medicine, 2022-09, Vol.9, p.980625-980625

2022

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IDENTIFYING NOVEL PHENOTYPES OF ELEVATED LEFT VENTRICULAR END DIASTOLIC PRESSURE USING HIERARCHICAL CLUSTERING OF FEATURES DERIVED FROM ELECTROMECHANICAL WAVEFORM DATA

Journal of the American College of Cardiology, 2022-03, Vol.79 (9), p.2000

2022

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Starch Particles, Energy Harvesting, and the “Goldilocks Effect”

ACS omega, 2018-04, Vol.3 (4), p.3796-3803

2018

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DEVELOPMENT OF A NON-INVASIVE POINT-OF-CARE RULE-OUT TEST FOR HEART FAILURE USING MACHINE LEARNING

Journal of the American College of Cardiology, 2024-04, Vol.83 (13), p.2613-2613

2024

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Abstract 14663: Machine Learning to Detect Pulmonary Hypertension at Point-of-Care

Circulation (New York, N.Y.), 2023-11, Vol.148 (Suppl_1)

2023

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A theoretical model to predict frosting limits in cross-flow air-to-air flat plate heat/energy exchangers

Energy and buildings, 2016-01, Vol.110, p.404-414

2016

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Predicting cardiac disease from interactions of simultaneously-acquired hemodynamic and cardiac signals

Computer methods and programs in biomedicine, 2021-04, Vol.202, p.105970, Article 105970

2021

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Measurement of convective heat transfer coefficients in a randomly packed bed of silica gel particles using IHTP analysis

Applied thermal engineering, 2016-08, Vol.106, p.361-370

2016

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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Journal of visualized experiments, 2024-08 (210)

2024

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Determination of air-to-air energy wheels latent effectiveness using humidity step test data

International journal of heat and mass transfer, 2016-12, Vol.103, p.501-515

2016

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Experimental methods for detecting frosting in cross-flow air-to-air energy exchangers

Experimental thermal and fluid science, 2016-10, Vol.77, p.100-115

2016

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Machine Learning Algorithms

JACC. Advances (Online), 2023-01, Vol.2 (1), p.100166, Article 100166

2023

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Machine Learning Algorithms: Selection of Appropriate Validation Populations for Cardiology Research-Be Careful

JACC. Advances (Online), 2023-01, Vol.2 (1), p.100166

2023

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Sorption Study of a Starch Biopolymer as an Alternative Desiccant for Energy Wheels

ACS sustainable chemistry & engineering, 2016-03, Vol.4 (3), p.1262-1273

2016

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The Chemistry of CO 2 Capture in an Amine-Functionalized Metal-Organic Framework under Dry and Humid Conditions

Journal of the American Chemical Society, 2017-09, Vol.139 (35), p.12125-12128

2017

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Study of Dehumidification and Regeneration in a Starch Coated Energy Wheel

ACS sustainable chemistry & engineering, 2017-01, Vol.5 (1), p.221-231

2017

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Effects of Heat Loss/Gain on the Transient Testing of Heat Wheels

Journal of thermal science and engineering applications, 2016-09, Vol.8 (3)

2016

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The Chemistry of CO2 Capture in an Amine-Functionalized Metal–Organic Framework under Dry and Humid Conditions

Practical water production from desert air

Rapid Cycling and Exceptional Yield in a Metal-Organic Framework Water Harvester

Multicenter validation of a machine learning phase space electro-mechanical pulse wave analysis to predict elevated left ventricular end diastolic pressure at the point-of-care

Pulmonary Hypertension Detection Non-Invasively at Point-of-Care Using a Machine-Learned Algorithm

Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease

Clinical Validation of a Machine-Learned, Point-of-Care System to IDENTIFY Functionally Significant Coronary Artery Disease

Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease

Identifying novel phenotypes of elevated left ventricular end diastolic pressure using hierarchical clustering of features derived from electromechanical waveform data

IDENTIFYING NOVEL PHENOTYPES OF ELEVATED LEFT VENTRICULAR END DIASTOLIC PRESSURE USING HIERARCHICAL CLUSTERING OF FEATURES DERIVED FROM ELECTROMECHANICAL WAVEFORM DATA

Starch Particles, Energy Harvesting, and the “Goldilocks Effect”

DEVELOPMENT OF A NON-INVASIVE POINT-OF-CARE RULE-OUT TEST FOR HEART FAILURE USING MACHINE LEARNING

Abstract 14663: Machine Learning to Detect Pulmonary Hypertension at Point-of-Care

A theoretical model to predict frosting limits in cross-flow air-to-air flat plate heat/energy exchangers

Predicting cardiac disease from interactions of simultaneously-acquired hemodynamic and cardiac signals

Measurement of convective heat transfer coefficients in a randomly packed bed of silica gel particles using IHTP analysis

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Determination of air-to-air energy wheels latent effectiveness using humidity step test data

Experimental methods for detecting frosting in cross-flow air-to-air energy exchangers

Machine Learning Algorithms

Machine Learning Algorithms: Selection of Appropriate Validation Populations for Cardiology Research-Be Careful

Sorption Study of a Starch Biopolymer as an Alternative Desiccant for Energy Wheels

The Chemistry of CO 2 Capture in an Amine-Functionalized Metal-Organic Framework under Dry and Humid Conditions

Study of Dehumidification and Regeneration in a Starch Coated Energy Wheel

Effects of Heat Loss/Gain on the Transient Testing of Heat Wheels

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