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Applying digital phenotypes and epigenetics to understand clinical outcomes in acute hypoxemic respiratory failure without acute respiratory distress syndrome (NAHRF)

US · IL NIH grant awarded #nih-1K23HL177334-01A1

Summary

This project aims to advance the management of acute hypoxemic respiratory failure (NAHRF) by developing phenotype-driven, individualized approaches, including clinical prediction models, machine learning for subphenotype detection, and epigenetic analysis to understand biological mechanisms.

What they want

The project involves three specific aims: 1) Develop clinical prediction models for mortality in adults with NAHRF; 2) Apply machine learning to detect subphenotypes of NAHRF associated with differential clinical outcomes; and 3) Use sequencing-based whole methylome data to better understand the biological mechanisms contributing to these outcomes. Additionally, it includes a career development plan for Dr. Arnold to acquire expertise in advanced modeling, novel biological markers, and leadership skills for clinical studies.
Deliverables
  • Clinical prediction models for mortality in adults with NAHRF
  • Detection of subphenotypes of NAHRF associated with differential clinical outcomes
  • Understanding of biological mechanisms contributing to NAHRF outcomes using whole methylome data
  • Development of Dr. Arnold into an independent clinical investigator
Technical requirements
  • Advanced modeling methods for risk stratification and digital phenotyping
  • Machine learning for subphenotype detection
  • Sequencing-based whole methylome data analysis
  • Expertise in discovery and application of novel biological markers
  • Experience and leadership skills to conduct prospective clinical studies
Key personnel
  • Dr. Arnold (Principal Investigator/Awardee)
  • Multidisciplinary team of mentors and advisors

Risks & flags

  • This is a K23 Mentored Career Development Award, which is a grant to a specific individual (Dr. Arnold) for her career development and research project, not a competitive procurement for services.

Market context

inferred from NAICS
Professional, Scientific & Technical Services
NAICS 541714
US market size
$2.0T
Typical award
$25K – $50M
Typical buyers
All federal civilianDoDStates
Commonly required
8(a)WOSBSDVOSBPE/PMP

Sector-level estimate — full code lookup not yet in catalog.

Applying digital phenotypes and epigenetic…
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