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Biofilm Formation Mechanisms of Pseudomonas aeruginosa Predicted via Genome-Scale Kinetic Models of Bacterial Metabolism

PLoS computational biology, 2015-10, Vol.11 (10), p.e1004452-e1004452

2015

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Assessment of the unified model of performance: accuracy of group‐average and individualised alertness predictions

Journal of sleep research, 2023-04, Vol.32 (2), p.e13626-n/a

2023

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Optimal sleep and work schedules to maximize alertness

Sleep (New York, N.Y.), 2021-11, Vol.44 (11), p.1

2021

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Electroencephalographic markers from routine sleep discriminate individuals who are vulnerable or resilient to sleep loss

Journal of sleep research, 2024-05, Vol.33 (3), p.e14060-e14060

2024

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Models for predicting sleep latency and sleep duration

Sleep (New York, N.Y.), 2021-05, Vol.44 (5), p.1

2021

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Caffeine dosing strategies to optimize alertness during sleep loss

Journal of sleep research, 2018-10, Vol.27 (5), p.e12711-n/a

2018

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2B-Alert Web 2.0, an Open-Access Tool for Predicting Alertness and Optimizing the Benefits of Caffeine: Utility Study

Journal of medical Internet research, 2022-01, Vol.24 (1), p.e29595

2022

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When to sleep and consume caffeine to boost alertness

Sleep (New York, N.Y.), 2024-10, Vol.47 (10)

2024

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Can we rely on wearable sleep-tracker devices for fatigue management?

Sleep (New York, N.Y.), 2024-03, Vol.47 (3), p.1

2024

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Authors' response to editorial on Vital-Lopez et al

Sleep (New York, N.Y.), 2024-10, Vol.47 (10)

2024

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Bridging the gap between gene expression and metabolic phenotype via kinetic models

BMC systems biology, 2013-07, Vol.7 (1), p.63-63, Article 63

2013

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Conceptual Model of Biofilm Antibiotic Tolerance That Integrates Phenomena of Diffusion, Metabolism, Gene Expression, and Physiology

Journal of bacteriology, 2019-11, Vol.201 (22)

2019

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2B-Alert App 2.0: personalized caffeine recommendations for optimal alertness

Sleep (New York, N.Y.), 2023-07, Vol.46 (7), p.1

2023

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Modeling the effect of chemotaxis on glioblastoma tumor progression

AIChE journal, 2011-03, Vol.57 (3), p.778-792

2011

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Search for a Shared Genetic or Biochemical Basis for Biofilm Tolerance to Antibiotics across Bacterial Species

Antimicrobial agents and chemotherapy, 2022-04, Vol.66 (4), p.e0002122-e0002122

2022

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Tutorial on biological networks

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2012-07, Vol.2 (4), p.298-325

2012

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A Computational Procedure for Optimal Engineering Interventions Using Kinetic Models of Metabolism

Biotechnology progress, 2006-12, Vol.22 (6), p.1507-1517

2006

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0305 Can We Rely on Wearable Sleep-Tracker Devices for Fatigue Management?

Sleep (New York, N.Y.), 2024-04, Vol.47 (Supplement_1), p.A131-A132

2024

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0179 Mathematical Models to Predict Sleep Latency and Sleep Duration

Sleep (New York, N.Y.), 2023-05, Vol.46 (Supplement_1), p.A79-A80

2023

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0194 Sleep Tracker: How Accurate Does It Need To Be?

Sleep (New York, N.Y.), 2023-05, Vol.46 (Supplement_1), p.A85-A86

2023

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0170 When to Sleep and Work to Optimize Alertness

Sleep (New York, N.Y.), 2023-05, Vol.46 (Supplement_1), p.A76-A76

2023

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0171 EEG Markers from Routine Sleep Discriminate Individuals Who Are Vulnerable or Resilient to Sleep Loss

Sleep (New York, N.Y.), 2024-04, Vol.47 (Supplement_1), p.A74-A74

2024

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0151 Personalized Caffeine Recommendations to Achieve Optimal Alertness Levels

Sleep (New York, N.Y.), 2024-04, Vol.47 (Supplement_1), p.A66-A66

2024

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0178 2B-Alert App: Personalized Caffeine Recommendations for Optimal Alertness

Sleep (New York, N.Y.), 2023-05, Vol.46 (Supplement_1), p.A79-A79

2023

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A computational procedure for optimal engineering interventions using kinetic models of metabolism

Biotechnology progress, 2006-11, Vol.22 (6), p.1507-1517

2006

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Biofilm Formation Mechanisms of Pseudomonas aeruginosa Predicted via Genome-Scale Kinetic Models of Bacterial Metabolism

Assessment of the unified model of performance: accuracy of group‐average and individualised alertness predictions

Optimal sleep and work schedules to maximize alertness

Electroencephalographic markers from routine sleep discriminate individuals who are vulnerable or resilient to sleep loss

Models for predicting sleep latency and sleep duration

Caffeine dosing strategies to optimize alertness during sleep loss

2B-Alert Web 2.0, an Open-Access Tool for Predicting Alertness and Optimizing the Benefits of Caffeine: Utility Study

When to sleep and consume caffeine to boost alertness

Can we rely on wearable sleep-tracker devices for fatigue management?

Authors' response to editorial on Vital-Lopez et al

Bridging the gap between gene expression and metabolic phenotype via kinetic models

Conceptual Model of Biofilm Antibiotic Tolerance That Integrates Phenomena of Diffusion, Metabolism, Gene Expression, and Physiology

2B-Alert App 2.0: personalized caffeine recommendations for optimal alertness

Modeling the effect of chemotaxis on glioblastoma tumor progression

Search for a Shared Genetic or Biochemical Basis for Biofilm Tolerance to Antibiotics across Bacterial Species

Tutorial on biological networks

A Computational Procedure for Optimal Engineering Interventions Using Kinetic Models of Metabolism

0305 Can We Rely on Wearable Sleep-Tracker Devices for Fatigue Management?

0179 Mathematical Models to Predict Sleep Latency and Sleep Duration

0194 Sleep Tracker: How Accurate Does It Need To Be?

0170 When to Sleep and Work to Optimize Alertness

0171 EEG Markers from Routine Sleep Discriminate Individuals Who Are Vulnerable or Resilient to Sleep Loss

0151 Personalized Caffeine Recommendations to Achieve Optimal Alertness Levels

0178 2B-Alert App: Personalized Caffeine Recommendations for Optimal Alertness

A computational procedure for optimal engineering interventions using kinetic models of metabolism

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