Robert Allaway

Senior Researcher, Sage Bionetworks

3 active projects

Investigating new-onset neurocognitive complications in COVID-19 patients

The physiological impact of COVID-19 on various segments of the population has been divergent. While some COVID-positive patients have developed serious cardio-pulmonary complications, others have shown relatively mild pulmonary symptoms. Recent studies in the UK and Spain have shown that…

Scientific Questions Being Studied

The physiological impact of COVID-19 on various segments of the population has been divergent. While some COVID-positive patients have developed serious cardio-pulmonary complications, others have shown relatively mild pulmonary symptoms. Recent studies in the UK and Spain have shown that a notable percentage of patients showed significant impact to the central nervous system. Whether these impacts only affected the patients in the short term, or if they have longer term consequences is still not well understood. Recent reports suggest that neurological complications of COVID-19 also exist in the US population and may be at a higher prevalence than seen in Europe. We plan to use machine learning and related computational methods to identify features that may be predictive of the new-onset neurocognitive complications in people who tested positive for COVID-19 in the US population.

Project Purpose(s)

  • Disease Focused Research (Neurocognitive complications of COVID-19)

Scientific Approaches

Aim 1: Is there an association between COVID-19 (various severity levels) and new onset neurocognitive dysfunction? To address this aim, we will first define the phenotypes of “COVID19 related new onset neurocognitive dysfunction” using longitudinal health record data.
Aim 2: What are some clinical and demographic features that are predictive of COVID19 related new onset neurocognitive changes? We will implement machine learning methods that robust towards small imbalanced datasets, providing valuable insights while reducing the risk of misinterpretation when implemented on sparse datasets.
Aim 3: Are there factors that make these specific populations more vulnerable than the general population? To understand how the features identified in the AoU cohort may generalize in other populations, we will compare summary statistics from the identified experimental and population in the AoU COVID cohort with summary statistics from other population level cohorts like N3C, and global.health.

Anticipated Findings

Our goal is to find features that can predict a probability score or likelihood of risk for a new patient so that they can be directed to prophylactic treatment as soon as possible. We hope that this project will lay the foundation to preemptively identify and monitor new-onset neurocognitive complications due to COVID-19, and assist patients in receiving appropriate and necessary prophylactic care.

Demographic Categories of Interest

  • Disability Status

Research Team

Owner:

Duplicate of Uncovering disease factors related to NF1, NF2 and Schwannomatosis

We intend to study the relationship between genetic factors, health records, and the symptoms of neurofibromatosis type 1, type 2, and schwannomatosis (NF),. At the present, we are exploring the data to formalize a specific research question. We hope to…

Scientific Questions Being Studied

We intend to study the relationship between genetic factors, health records, and the symptoms of neurofibromatosis type 1, type 2, and schwannomatosis (NF),. At the present, we are exploring the data to formalize a specific research question. We hope to identify specific predictive biomarkers or therapies for NF.

Project Purpose(s)

  • Disease Focused Research (neurofibromatosis type 1, neurofibromatosis type 2, schwannomatosis)
  • Drug Development
  • Methods Development
  • Ancestry

Scientific Approaches

We intend to use health record, survey, and (when available) genomic data from participants with NF and to analyze these datasets using statistical modeling and machine learning approaches for categorical and continuous data.

Anticipated Findings

We hope to and anticipate this study will increase our understanding of neurofibromatosis type 1, type 2, and schwannomatosis. Our findings would contribute to the body of scientific knowledge by revealing new biological causes for the symptoms associated with these disease, which may lead to new ways to treat these symptoms.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Uncovering disease factors related to NF1, NF2 and Schwannomatosis

We intend to study the relationship between genetic factors, health records, and the symptoms of neurofibromatosis type 1, type 2, and schwannomatosis (NF),. At the present, we are exploring the data to formalize a specific research question. We hope to…

Scientific Questions Being Studied

We intend to study the relationship between genetic factors, health records, and the symptoms of neurofibromatosis type 1, type 2, and schwannomatosis (NF),. At the present, we are exploring the data to formalize a specific research question. We hope to identify specific predictive biomarkers or therapies for NF.

Project Purpose(s)

  • Disease Focused Research (neurofibromatosis type 1, neurofibromatosis type 2, schwannomatosis)
  • Drug Development
  • Methods Development
  • Ancestry

Scientific Approaches

We intend to use health record, survey, and (when available) genomic data from participants with NF and to analyze these datasets using statistical modeling and machine learning approaches for categorical and continuous data.

Anticipated Findings

We hope to and anticipate this study will increase our understanding of neurofibromatosis type 1, type 2, and schwannomatosis. Our findings would contribute to the body of scientific knowledge by revealing new biological causes for the symptoms associated with these disease, which may lead to new ways to treat these symptoms.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

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