FOA Title: 
Notice of Special Interest (NOSI): IDEA2Health: Innovative Data Evaluation and Analysis to Health (Parent R01 Clinical Trial Not Allowed)
Grant Type: 
Primary IC: 
Release Date: 
Aug 15 2019
Expiration Date: 
AC Source: 
Notice Special Interest NOSI): IDEA2Health: Innovative Data Evaluation Analysis Health Parent R01 Clinical Trial Allowed) Notice Number: NOT-HL-19-712 Key Dates Release Date: August 15, 2019 First Available Due Date: October 5, 2019 Expiration Date: January 8, 2022 Related Announcements NOT-HL-19-678: Bold New Bioengineering Research Heart, Lung, Blood, Sleep Disorders Diseases NOT-HL-19-676: Integrative Omics Analysis NHLBI TOPMed Data PA-19-056: NIH Research Project Grant Parent R01 Clinical Trial Allowed) Issued National Heart, Lung, Blood Institute NHLBI) Purpose purpose this Notice Special Interest NOSI) to inform applicants the National Heart, Lung, Blood Institute NHLBI) an area special interest the development utilization data science methodologies gaining new insights improve health heart, lung, blood sleep HLBS) domains  . Background Vast quantities structured unstructured data, sources such high-dimensional medical imaging, satellite imagery spatial data, physiological signals, smart electronic mobile devices, currently being generated biomedical research use. However, numerous challenges exist the phases the analytics life cycle – data wrangling, model building, assessment deployment. specific examples issues challenges are: extracting value raw complex data; handling multicollinearity, missing values, confounding bias; auto-detecting outliers noise; improving misclassification precise analysis; optimizing predictability an independent data set. rise machine learning ML) artificial intelligence AI) techniques enabled advent relevant solutions impacting health help train” computer systems auto-tuning finding insights faster more accurately. address new challenges, NIH articulated specific priorities encourages rapid open sharing scientific efforts development dissemination innovative data analytics approaches Goal 3, NIH Strategic Plan Data Science). NHLBI also recognized need developing innovative data science approaches enhance integration, analysis, interpretation data multiple sources gain insights the biological, social, environmental, behavioral determinants associated HLBS health disease Objective 7, Leverage emerging opportunities data science open new frontiers, NHLBI Strategic Vision, NIH Publication 16-HL-6150). order stimulate novel approaches this field, NHLBI seeking applications will further novel broader of data science methods, to include team-based approaches these research efforts. is hoped research outputs i.e., data, metadata, tools, algorithms, program code, tutorials, findings, etc.) potentially lead impactful analytic decision-making both the individual public health levels. Potential new knowledge be gained include: improved understanding how environmental factors interact individuals impact onset clinical health/disease; automation identifying, classifying, subtyping a disease condition; optimization algorithms personalized treatment, precision medicine precision prevention HLBS diseases conditions; generation novel research hypotheses. Research Objectives specific research objectives this NOSI to: 1) stimulate advancement employment novel data science methods gaining novel insights; 2) enable innovative engineering solutions better faster data analytics; 3) communicate research outputs through open-science platforms. innovative methodologies data science focus on, example, artificial intelligence, machine learning, deep-learning, combinations these techniques. scope scientific questions must of relevance the mission NHLBI aligned within the NHLBI’s Strategic Vision, NIH Publication 16-HL-6150. Multiple principle investigators key personnel complementary disciplines example, biostatistics/statistics, mathematics; computer science, engineering; biology, medicine, environmental science, social science, etc.) encouraged jointly participate. Research plans actively adhere open-science FAIR Findable, Accessible, Interoperable, Reusable) principles be greatest interest NHLBI. Research outputs include need be limited open-source, reusable, high-quality metadata; smart tools; algorithms; documentation; supplemental materials; presentations conferences publications containing guidelines examples, tutorials, source code. Sharing resources effective communication outputs appropriate interest broader communities essential elements applications. topics related TOPMed computational systems biology analysis trans-omics data, please check NOT-HL-19-676. Application Submission Information notice applies due dates or after October 5, 2019, subsequent receipt dates through January 8, 2022. Applications response this Notice must submitted through NIH Parent Announcement PA-19-056: NIH Research Project Grant Parent R01 Clinical Trial Allowed). All instructions the SF424 R&R) Application Guide and PA-19-056 must followed, the following additions: IMPORTANT: funding consideration, applicants must include NOT-HL-19-712 in Agency Routing Identifier field Box 4b) the SF424 R&R) Form. Applications without information Box 4b not considered this initiative. Applications nonresponsive the terms this Notice be be considered this initiative. Investigators planning submit application response this NOSI strongly encouraged contact discuss proposed research/aims an NHLBI program officer listed this NOSI well advance the grant receipt date. Inquiries Please direct inquiries the contacts Section VII the listed funding opportunity announcements the following additions/substitutions: Scientific/Research Contact(s) Lucy L. Hsu National Heart, Lung, Blood Institute NHLBI) Telephone: 301-402-3276 Email: