Predictive Multiscale Models of the Physiome in Health and Disease (R01) | Apply Online

Frequently Asked Questions (FAQs)

What is the "Predictive Multiscale Models of the Physiome in Health and Disease (R01)" opportunity?

It is an NIH Research Project Grant (R01) funding opportunity aimed at supporting research projects that develop predictive, multiscale computational models of the physiome. The physiome is described as an integrated representation of how biological systems function across levels of organization, in both normal physiology and disease.

What does NIH mean by "physiome" in this funding opportunity?

In this context, "physiome" refers to integrated representations of biological function across levels of organization. The opportunity emphasizes connecting mechanisms and behaviors from smaller scales (such as molecular and cellular processes) to larger scales (such as tissues, organs, and whole-organism function), in health and disease.

What types of models are encouraged under this FOA?

The FOA emphasizes predictive, mechanistic, multiscale computational models that connect processes spanning multiple spatial and temporal scales. The models are expected to integrate heterogeneous data and generate testable predictions relevant to health and disease.

What is meant by "multiscale" in this program?

"Multiscale" refers to models that link biological processes across different spatial scales (for example, molecules to cells to tissues to organs) and different temporal scales (for example, fast molecular events to slower physiological or disease processes).

How is "predictive" defined for the purposes of this opportunity?

Projects are intended to do more than produce descriptive simulations. The emphasis is on models that can generate testable predictions and support mechanistic understanding, such as predicting physiological behavior under perturbations or outcomes relevant to disease.

Are purely descriptive simulations or single-scale models a good fit?

Based on the stated emphasis, the program is designed to go beyond descriptive simulations and focus on mechanistic understanding, integration of diverse data, and predictive capability across multiple scales. The opportunity highlights connecting multiple spatial and temporal scales as a core feature.

What is the funding mechanism used for this opportunity?

Funding is provided through the NIH R01 mechanism, which is NIH's standard investigator-initiated research project grant mechanism intended for mature projects with a clear research plan and measurable milestones.

Does this program require cost sharing or matching funds?

No. The announcement states that cost sharing or matching is not required.

Is this a discretionary grant program?

Yes. It is described as a discretionary grant program, supporting research activities rather than formula-based distributions.

Which NIH Institutes and Centers participated in sponsoring this FOA?

The FOA was sponsored by multiple NIH Institutes and Centers, including NIBIB, NCI, NHLBI, NIA, NIAMS, NIDCD, NIDA, NIEHS, NIGMS, NIMH, NINDS, and the National Library of Medicine.

What research areas could be relevant given the set of participating NIH organizations?

The range of participating institutes suggests applicability across many biomedical domains, including cancer biology, cardiovascular and pulmonary systems, aging, musculoskeletal and skin biology, neurological and mental health conditions, substance use and addiction, environmental health impacts, imaging and bioengineering, and other areas where predictive modeling can improve understanding or guide experiments.

What kinds of organizations were eligible to apply?

Eligibility is broad and includes many types of domestic U.S. organizations, such as public and private institutions of higher education, nonprofit organizations (with or without 501(c)(3) status), small businesses, for-profit entities (including those other than small businesses), and various levels of government (state, county, city/township, special district).

Are tribal governments and tribal organizations eligible?

Yes. The opportunity includes eligible Native American tribal governments (federally recognized) and tribal organizations (other than federally recognized tribal governments).

Are public housing authorities and independent school districts eligible?

Yes. The eligibility list includes public housing authorities/Indian housing authorities and independent school districts.

Are foreign institutions eligible to apply?

Yes. A notable feature of this FOA is that foreign institutions are explicitly eligible to apply.

When was this funding opportunity posted?

The opportunity was posted on November 5, 2007.

What is the listed creation date for this opportunity?

The listed creation date is December 5, 2008.

Did the FOA have a single deadline or multiple receipt dates?

It used multiple receipt dates rather than a single deadline, meaning applications could be submitted according to scheduled NIH receipt cycles referenced in the full announcement.

Is this FOA currently active?

No. The FOA was archived on October 16, 2010, indicating it is no longer active in its original form.

If the FOA is archived, why is it still useful?

It can still serve as a reference for the kind of work NIH has historically sought in physiome and multiscale modeling, including expectations around mechanistic integration, multiscale connections, and predictive performance.

What should applicants look for if they want a current opportunity like this?

Applicants seeking comparable current opportunities would typically look for updated NIH notices or newer FOAs with similar scope under areas such as systems biology, multiscale modeling, computational physiology, or predictive modeling in disease.

What is the practical research focus NIH was aiming to support?

The program was designed for projects that integrate biology, mathematics, computation, and often engineering to create multilevel models that can be validated against experimental or clinical observations.

What elements are highlighted as important for a strong application under a program like this?

The description highlights several practical elements: clearly defined biological or clinical questions, a rigorous multiscale modeling strategy, access to appropriate data for parameterization and validation, and a plan for demonstrating predictive capability (for example, forecasting disease progression, treatment response, or physiological behavior under perturbations).

Where was the official full announcement hosted?

The official full announcement was hosted through the NIH grants guide at the provided link referenced in the opportunity description.

Who handled technical access issues for the announcement?

Technical access issues were handled through the NIH Office of Extramural Research webmaster contact.