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Nuvo Maternal–Fetal Data Access Grant

Request for Research Proposals (RFP)

Leverage one of the world’s most comprehensive longitudinal native-sensor maternal–fetal datasets to advance the science of pregnancy care.

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Contact Information

Contact Information

Questions regarding this RFP may be directed to Nuvo’s Research Programs Office at: research@nuvocaares.com

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Review Committee

All submissions will be evaluated by a Review Committee comprised of three maternal–fetal medicine specialists.
The Committee has full discretion to select which LOIs are invited for full proposal submission, and to determine final grant awards based on overall scientific merit, feasibility, and alignment with the goals of this RFP.
  • Dr Karen Florio
    OBGyn and maternal–fetal
    medicine specialist focused
    on heart disease and
    preeclampsia, leading
    Missouri PAMR/PQC and
    Nuvo Medicaid coverage,
    and directing a multi-site
    RCT on fetal telehealth.

 


Dr. Karen Florio

Chair
  • Dr Demilade Adedinsewo
    Assistant Professor of Medicine
    and non-invasive cardiologist
    at Mayo Clinic, specializing in
    women’s heart health,
    echocardiography, and
    AI-driven detection of
    cardiovascular disease.
    NIH-funded BIRCWH scholar.

 


Dr. Demilade Adedinsewo

Committee Member
  • Dr Sean Esplin
    Senior Medical Director
    of Women’s Health and
    Neonatology at Intermountain,
    with expertise in maternal–fetal
    medicine, preterm birth, genetics,
    and fetal heart rate interpretation.
    NIH-funded researcher and
    national lecturer.

 


Dr. Sean Esplin

Committee Member

Program Overview

The Nuvo Maternal–Fetal Data Access Grant is an independent research enablement initiative designed to advance the science of pregnancy physiology. Nuvo provides qualified investigators with controlled access to one of the world’s most comprehensive longitudinal, real-world maternal–fetal datasets, supporting rigorous, multimodal, and clinically meaningful research.

Background and Rationale

Historically, pregnancy physiology research has been constrained by limited datasets, short-duration recordings, and single-modality measurements. Nuvo’s platform overcomes these limitations by capturing synchronized fetal and maternal electrophysiology, phonocardiography, and motion data at scale. This grant program exists to enable independent scientific discovery while establishing best practices for ethical, transparent data stewardship.

Dataset Description

INVU dataset includes 400,000+ minutes, 25,000+ sessions of correlated:

● fmECG (fetal and maternal electrocardiogram)
● fmPCG (fetal and maternal phonocardiogram)
● MUA (maternal uterine activity)
● Metadata

Each session is accompanied by structured session-level and pregnancy-level metadata enabling cohort definition and longitudinal analysis.

Intellectual Property

Investigators retain ownership of all foreground intellectual property arising from their research. Nuvo retains ownership of the underlying dataset, platform, and any pre-existing intellectual property.

No joint ownership is implied or granted.

Eligible Applicants

Eligible applicants include academic medical centers, research hospitals, non-academic hospitals, and clinical care organizations engaged in systematic clinical research. Commercial clinics may apply provided that proposed research activities are non-commercial in nature and conducted under appropriate ethical and regulatory oversight. All projects must have active IRB approval or documented exemption prior to data access.

Priority Research Areas

Priority areas include:

  • fetal cardiac electrophysiology

  • electromechanical coupling

  • motion-aware signal quality assessment

  • longitudinal fetal cardiac development

  • false-positive reduction in remote fetal monitoring.

Data Use and Confidentiality

All awardees must execute a Data Use Agreement (DUA) governing permitted uses, security requirements, and confidentiality obligations. Data may not be redistributed, re-identified, or used for commercial purposes without explicit written authorization.

Data generated through use of INVU wearable devices or the INVU platform during approved studies shall be treated as study-derived data. Investigators retain rights to analyze and publish such data, subject to the DUA, while Nuvo retains ownership of the INVU platform, devices, and underlying system data.

Legal and Compliance

All research must comply with applicable laws, regulations, and ethical standards, including HIPAA and GDPR where applicable. Nuvo reserves the right to terminate access in the event of material breach.

Commercial and non-academic applicants must demonstrate access to an independent Institutional Review Board (IRB) or equivalent ethics committee and comply with the same ethical and regulatory standards as academic institutions.

Publication Policy

Awardees retain full rights to publish their findings independently. Publications must acknowledge use of the Nuvo dataset. Nuvo retains the right to review manuscripts solely for factual accuracy regarding dataset description and platform capabilities.

Publications arising from research conducted by commercial or non-academic entities must disclose the institutional affiliation of the investigators and shall not imply endorsement of the investigator, institution, or study conclusions by Nuvo.

IRB Status and Retrospective Research Authorization

Nuvo has received blanket Institutional Review Board (IRB) approval for the use of its de-identified, longitudinal maternal–fetal dataset for retrospective research purposes. This approval covers the collection, storage, and secondary analysis of data included in the Nuvo dataset as described in this RFP.

Investigators conducting retrospective analyses using only the Nuvo-provided dataset may rely on this existing approval where permitted by their institution, subject to local IRB policies and requirements. Investigators remain responsible for obtaining any required institutional approvals, determinations, or exemptions applicable to their specific research.

This blanket approval applies solely to retrospective research using existing Nuvo data and does not extend to prospective data collection, interventional studies, or use of INVU devices in new patient populations, which require separate IRB review and approval.

What the Grant Provides

Awardees receive time-limited access to curated datasets via a secure cloud-based research environment. No raw data downloads are permitted. Awardees may export derived metrics, figures, and aggregate results subject to review.

In addition, Nuvo will provide INVU wearable devices and complimentary access to the INVU platform up to a retail value of $3,000 for the duration of approved studies, where applicable, to support prspective or hybrid research designs. Further, Nuvo will provide independent regulatory and statistician support up to a value of $5,000.

In addition to data access and platform support, selected awardees may receive a cash research grant of up to $10,000 USD per project. Cash awards are intended to support direct research-related expenses and are subject to institutional policies and applicable laws.

Cash support is intended solely to offset direct research-related costs and is not contingent upon study outcomes, publication decisions, or commercial use of results. For commercial entities, cash support may be subject to additional institutional compliance review.

Governance and Review Process

All proposals are reviewed by an independent Scientific Advisory Committee composed of external clinical, technical, and ethics experts. Nuvo personnel serve only in a non-voting observer capacity.

In evaluating proposals, the Scientific Advisory Committee will consider the feasibility of study completion within a 12 month timeframe and the clarity of the proposed path from analysis to potential clinical impact.

Application Process

Applicants must submit a letter of intent followed by a full proposal. Selection criteria include scientific rigor, clinical relevance, feasibility, and ethical compliance.

Preference will be given to proposals designed as short-cycle studies (up to 12 months in duration) with a clear and plausible pathway to improving clinical care for pregnancy.

Such pathways may include, but are not limited to, improvements in risk stratification, signal quality assessment, reduction of false positives, earlier detection of clinically meaningful patterns, or enhanced longitudinal monitoring strategies. Proposals should articulate how anticipated findings could inform clinical workflows, decision-making, or future standards of care, even if additional validation would be required.

Submission Instructions

Submission Method

Email

Accepted File Formats

PDF preferred (Word accepted).

Required Naming Convention

Institution_PI_Project
Title_NuvoDataGrant2026
.pdf (example)

Proposal Format (Full Proposal)

Full proposals should follow the structure below (recommended headings)

Project Title + Abstract (150–250 words)

Principal Investigator / Team / Institution

Research Question, Aims, Hypothesis, and Clinical Motivation

Cohort Definition (inclusion/exclusion criteria)

Methods and Analysis Plan (including statistical plan)

Research Question, Aims, Hypothesis, and Clinical Motivation

Primary/Secondary Endpoints and Expected Outputs

Timeline and Milestones (up to 12 months)

Data Security Plan and Compliance (HIPAA/GDPR as applicable)

Publication Plan (target journals/conferences; expected preprints)

Optional: Budget Summary

Formatting: 12-point font double-spaced

Required Application Package

Letter of Intent (LOI)

1–2 pages

Full Proposal

5–8 pages (by invitation)

  • PI biosketch/CV (NIH-style acceptable)
  • Data Security and Access Plan (1 page)
  • Institutional sign-off / Authorized Organizational Representative contact (if required by your institution)

Evaluation Rubric

Criterion Score
Scientific rigor and methodological soundness 0–5
Clinical relevance and potential impact 0–5
Feasibility within 12 months 0–5
Appropriate use of multimodal dataset and cohort definition clarity 0–5
Ethical compliance, data security, and risk mitigation 0–5
Novelty and contribution to pregnancy physiology research 0–5

Dataset Access Details and Export Rules

Access duration

up to six months, renewable upon request and committee approval.

Environment

Secure cloud-based research workspace; no raw data downloads permitted.

Compute

CPU compute included; GPU availability (if any) should be specified.

Export

Only derived metrics, figures, and aggregate results may be exported, subject to Nuvo review for privacy and policy compliance.

Support

onboarding session + office hours and ticket-based support.

Prohibited Uses

  • Any attempt to re-identify individuals or link the dataset to external sources for identity inference.

  • Redistribution of data, credentials, or access to unauthorized parties

  • Exporting raw signals or row-level identifiable traces.

  • Use of the dataset for commercial product development without explicit written authorization

Required acknowledgement statement:

“This study used the Nuvo Maternal–Fetal Dataset provided under the Nuvo Maternal–Fetal Data Access Grant.”

Nuvo may review manuscripts solely for factual accuracy regarding dataset description and platform capabilities.
Public announcements: awardees should not issue press releases or public communications about selection without prior written approval.

Timeline

Milestone Date
In-person Q&A: SMFM 2026, Nuvo's Booth Feb 10–12, [times TBD]
Zoom Q&A February 23, 2026
LOI deadline February 27, 2026
LOI decisions/invitations March 16, 2026
Full proposal deadline April 6, 2026
Award notification April 28, 2026
Data access start May 20, 2026

Conflict of Interest (COI)

Applicants must disclose conflicts of interest, including financial relationships, advisory roles, or competing interests that could bias interpretation.

Scientific Advisory Committee members will recuse themselves from reviewing proposals where a conflict exists.

FAQ

Do I need my own IRB if Nuvo has a blanket IRB?
Investigators must follow their local IRB requirements. Many institutions will accept reliance or exemption, but determinations vary. Nuvo’s blanket IRB will be made available.
Can I export trained model weights or derived features?
Derived artifacts may be exportable subject to review and the DUA; raw data is not exportable.
Can commercial entities apply?
Yes, provided research is non-commercial in nature and appropriate ethics oversight is in place.
Can I combine Nuvo data with my institution’s datasets?
Only with written approval and consistent with the DUA and privacy policies.
Program Overview

The Nuvo Maternal–Fetal Data Access Grant is an independent research enablement initiative designed to advance the science of pregnancy physiology. Nuvo provides qualified investigators with controlled access to one of the world’s most comprehensive longitudinal, real-world maternal–fetal datasets, supporting rigorous, multimodal, and clinically meaningful research.

 

Background and Rationale

Historically, pregnancy physiology research has been constrained by limited datasets, short-duration recordings, and single-modality measurements. Nuvo’s platform overcomes these limitations by capturing synchronized fetal and maternal electrophysiology, phonocardiography, and motion data at scale. This grant program exists to enable independent scientific discovery while establishing best practices for ethical, transparent data stewardship.

 
Dataset Description

The dataset includes over 350,000 minutes of monitoring data across more than 25,000 sessions from live pregnancies. Modalities include fetal ECG (fECG), maternal ECG (mECG), fetal PCG (fPCG), maternal PCG (mPCG), and inertial motion (IMU) signals. Each session is accompanied by structured session-level and pregnancy-level metadata enabling cohort definition and longitudinal analysis.

 

IRB Status and Retrospective Research Authorization

Nuvo has received blanket Institutional Review Board (IRB) approval for the use of its de-identified, longitudinal maternal–fetal dataset for retrospective research purposes. This approval covers the collection, storage, and secondary analysis of data included in the Nuvo dataset as described in this RFP.

Investigators conducting retrospective analyses using only the Nuvo-provided dataset may rely on this existing approval where permitted by their institution, subject to local IRB policies and requirements. Investigators remain responsible for obtaining any required institutional approvals, determinations, or exemptions applicable to their specific research.

This blanket approval applies solely to retrospective research using existing Nuvo data and does not extend to prospective data collection, interventional studies, or use of INVU devices in new patient populations, which require separate IRB review and approval.

 

Eligible Applicants

Eligible applicants include academic medical centers, research hospitals, non-academic hospitals, and clinical care organizations engaged in systematic clinical research. Commercial clinics may apply provided that proposed research activities are non-commercial in nature and conducted under appropriate ethical and regulatory oversight. All projects must have active IRB approval or documented exemption prior to data access.

 

Priority Research Areas

Priority areas include fetal cardiac electrophysiology, electromechanical coupling, motion-aware signal quality assessment, longitudinal fetal cardiac development, and false-positive reduction in remote fetal monitoring.

 

What the Grant Provides

Awardees receive time-limited access to curated datasets via a secure cloud-based research environment. No raw data downloads are permitted. Awardees may export derived metrics, figures, and aggregate results subject to review.

In addition, Nuvo will provide INVU wearable devices and complimentary access to the INVU platform up to a retail value of $3,000 for the duration of approved studies, where applicable, to support prospective or hybrid research designs. Further, Nuvo will provide independent regulatory and statistician support up to a value of $5,000.

In addition to data access and platform support, selected awardees may receive a cash research grant of up to $10,000 USD per project. Cash awards are intended to support direct research-related expenses and are subject to institutional policies and applicable laws.

Cash support is intended solely to offset direct research-related costs and is not contingent upon study outcomes, publication decisions, or commercial use of results. For commercial entities, cash support may be subject to additional institutional compliance review.

 

Governance and Review Process

All proposals are reviewed by an independent Scientific Advisory Committee composed of external clinical, technical, and ethics experts. Nuvo personnel serve only in a non-voting observer capacity.

In evaluating proposals, the Scientific Advisory Committee will consider the feasibility of study completion within a 12 month timeframe and the clarity of the proposed path from analysis to potential clinical impact.

 

Publication Policy

Awardees retain full rights to publish their findings independently. Publications must acknowledge use of the Nuvo dataset. Nuvo retains the right to review manuscripts solely for factual accuracy regarding dataset description and platform capabilities.

Publications arising from research conducted by commercial or non-academic entities must disclose the institutional affiliation of the investigators and shall not imply endorsement of the investigator, institution, or study conclusions by Nuvo.

 

Intellectual Property

Investigators retain ownership of all foreground intellectual property arising from their research. Nuvo retains ownership of the underlying dataset, platform, and any pre-existing intellectual property. No joint ownership is implied or granted.

 

Data Use and Confidentiality

All awardees must execute a Data Use Agreement (DUA) governing permitted uses, security requirements, and confidentiality obligations. Data may not be redistributed, re-identified, or used for commercial purposes without explicit written authorization.

Data generated through use of INVU wearable devices or the INVU platform during approved studies shall be treated as study-derived data. Investigators retain rights to analyze and publish such data, subject to the DUA, while Nuvo retains ownership of the INVU platform, devices, and underlying system data.

 

Legal and Compliance

All research must comply with applicable laws, regulations, and ethical standards, including HIPAA and GDPR where applicable. Nuvo reserves the right to terminate access in the event of material breach.

Commercial and non-academic applicants must demonstrate access to an independent Institutional Review Board (IRB) or equivalent ethics committee and comply with the same ethical and regulatory standards as academic institutions.

 

Application Process

Applicants must submit a letter of intent followed by a full proposal. Selection criteria include scientific rigor, clinical relevance, feasibility, and ethical compliance.

Preference will be given to proposals designed as short-cycle studies (up to 12 months in duration) with a clear and plausible pathway to improving clinical care for pregnancy.

Such pathways may include, but are not limited to, improvements in risk stratification, signal quality assessment, reduction of false positives, earlier detection of clinically meaningful patterns, or enhanced longitudinal monitoring strategies. Proposals should articulate how anticipated findings could inform clinical workflows, decision-making, or future standards of care, even if additional validation would be required.

 


 
Submission Instructions

Submission Method: Email

Accepted File Formats: PDF preferred (Word accepted).

Required Naming Convention: Institution_PI_ProjectTitle_NuvoDataGrant2026.pdf (example).

Submission Email: research@nuvo.com

 

Required Application Package
  • Letter of Intent (LOI) — 1–2 pages
  • Full Proposal — 5–8 pages (by invitation)
    • PI biosketch/CV (NIH-style acceptable)
    • Data Security and Access Plan (1 page)
    • Institutional sign-off / Authorized Organizational Representative contact (if required by your institution)

 

Proposal Format (Full Proposal)

Full proposals should follow the structure below (recommended headings):

  • Project Title + Abstract (150–250 words)
  • Principal Investigator / Team / Institution
  • Research Question, Aims, Hypothesis, and Clinical Motivation
  • Cohort Definition (inclusion/exclusion criteria)
  • Methods and Analysis Plan (including statistical plan)
  • Primary/Secondary Endpoints and Expected Outputs
  • Timeline and Milestones (up to 12 months)
  • Data Security Plan and Compliance (HIPAA/GDPR as applicable)
  • Publication Plan (target journals/conferences; expected preprints)
  • Optional: Budget Summary
  • Formatting: 12-point font double-spaced

 

Evaluation Rubric
Criterion Score
Scientific rigor and methodological soundness 0–5
Clinical relevance and potential impact 0–5
Feasibility within 12 months 0–5
Appropriate use of multimodal dataset and cohort definition clarity 0–5
Ethical compliance, data security, and risk mitigation 0–5
Novelty and contribution to pregnancy physiology research 0–5

 

 

Dataset Access Details and Export Rules

Access duration: up to six months, renewable upon request and committee approval.

Environment: Secure cloud-based research workspace; no raw data downloads permitted.

Compute: CPU compute included; GPU availability (if any) should be specified.

Export: Only derived metrics, figures, and aggregate results may be exported, subject to Nuvo review for privacy and policy compliance.

Support: onboarding session + office hours and ticket-based support.

 

Prohibited Uses
  • Any attempt to re-identify individuals or link the dataset to external sources for identity inference
  • Redistribution of data, credentials, or access to unauthorized parties
  • Exporting raw signals or row-level identifiable traces
  • Use of the dataset for commercial product development without explicit written authorization

Publication, Publicity, and Acknowledgement

Required acknowledgement statement:

“This study used the Nuvo Maternal–Fetal Dataset provided under the Nuvo Maternal–Fetal Data Access Grant.”

Nuvo may review manuscripts solely for factual accuracy regarding dataset description and platform capabilities.

Public announcements: awardees should not issue press releases or public communications about selection without prior written approval.

 

Conflict of Interest (COI)

Applicants must disclose conflicts of interest, including financial relationships, advisory roles, or competing interests that could bias interpretation.

Scientific Advisory Committee members will recuse themselves from reviewing proposals where a conflict exists.

 

Timeline
Milestone Date
In-person Q&A: SMFM 2026, Nuvo's Booth Feb 10–12, [times TBD]
Zoom Q&A February 23, 2026
LOI deadline February 27, 2026
LOI decisions/invitations March 16, 2026
Full proposal deadline April 6, 2026
Award notification April 28, 2026
Data access start May 20, 2026

 

 

Review Committee

All submissions will be evaluated by a Review Committee comprised of three maternal–fetal medicine specialists. The Committee is chaired by Dr. Karen Florio, with members Dr. Demilade Adedinsewo and Dr. Sean Esplin. The Committee has full discretion to select which LOIs are invited for full proposal submission, and to determine final grant awards based on overall scientific merit, feasibility, and alignment with the goals of this RFP.

 

FAQ

Do I need my own IRB if Nuvo has a blanket IRB?
Investigators must follow their local IRB requirements. Many institutions will accept reliance or exemption, but determinations vary. Nuvo’s blanket IRB will be made available.

Can I export trained model weights or derived features?
Derived artifacts may be exportable subject to review and the DUA; raw data is not exportable.

Can commercial entities apply?
Yes, provided research is non-commercial in nature and appropriate ethics oversight is in place.

Can I combine Nuvo data with my institution’s datasets?
Only with written approval and consistent with the DUA and privacy policies.

 

Version & Release Information

Document Title: Nuvo Maternal–Fetal Data Access Grant — Request for Research Proposals (RFP)

Version: v___ (Final Release)

Release Date: ____________

Contact: research@nuvo.com

 

Contact Information

Questions regarding this RFP may be directed to Nuvo’s Research Programs Office at: research@nuvo.com