Project Grant R43MD017966
- This $276,000 National Science Foundation Project Grant will fund Hairdays Inc. to develop a data-driven hair intelligence platform. The platform will leverage big data from scientific publications and databases as well as user data to provide personalized hair and scalp health insights matched with suitable products and care regimens. The technology will use algorithms to classify different hair types and profiles, identify contributing factors like porosity and texture, analyze product...
- Federal Grant Award Summary The National Institute of Environmental Health Sciences (NIEHS) awarded The Johns Hopkins University a Project Grant of $796,093 on May 1, 2026, under the Environmental Health program (CFDA 93.113) to conduct research examining occupational exposure to endocrine-disrupting chemicals (EDCs) and reproductive health outcomes among hairstylists. The research will be conducted in Baltimore, Maryland through April 30, 2031. This project addresses a significant public health...
- This $232,896 National Institute on Aging (NIA) project grant, awarded on March 10, 2026, supports research investigating environmental risk factors associated with early menopause among Black women through the Aging Research program (CFDA 93.866). Under the direction of Dr. Sharonda Lovett at Boston University Medical Campus, the research leverages prospective cohort data from the Black Women's Health Study (BWHS), a longitudinal study of over 59,000 participants followed for more than 25...
- Federal Grant Award Summary The National Institute of Environmental Health Sciences awarded Cedars-Sinai Medical Center $3.48 million under the Medical Library Assistance program (CFDA 93.879) to develop artificial intelligence (AI) and natural language processing (NLP) methods for analyzing large-scale epidemiological studies using patient-generated medication adherence and tolerability data. The project, initiated on September 15, 2025, and extending through August 31, 2029, addresses the...
- The University of Nebraska Medical Center (UNMC) received a $1.0 million Project Grant awarded August 1, 2025, through the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The four-year project, concluding July 31, 2029, will develop a novel artificial intelligence and machine learning framework to reduce health outcome variability in breast cancer detection, diagnosis, prognosis, and treatment. The research specifically addresses...
- This $111,199 Project Grant was awarded on April 3, 2026, by the National Institute of Environmental Health Sciences (NIEHS) under the Environmental Health program (CFDA 93.113) to Drexel University in Philadelphia, Pennsylvania. The award funds research investigating how prenatal exposure to phthalates and phenols—endocrine-disrupting chemicals (EDCs) commonly found in diet and personal care products—contributes to phenotypic variability in autism spectrum disorder and co-occurring...
- Summary The National Institute of Mental Health (NIMH) awarded Boston University Medical Campus a $179,731 Project Grant on September 1, 2025, under the Mental Health Research Grants program (CFDA 93.242) for a five-year project period extending through August 31, 2030. This Mentored Research Scientist Development Award (K01) funds the development and preliminary testing of a community health worker (CHW)-delivered pre-exposure prophylaxis (PrEP) decision aid designed to increase PrEP initiation...
- Federal Project Grant Award Summary One Health Studio LLC received a $948,184 Project Grant award from the National Institute on Aging (NIA) under the Aging Research program (CFDA 93.866), effective September 20, 2025 through September 19, 2026. The award funds the development and evaluation of FLOURISH ALL, an artificial intelligence-enabled digital health platform designed to reduce Alzheimer's Disease and Alzheimer's Disease-Related Dementias (ADRD) risk in midlife women by addressing...
- Federal Grant Award Summary Rochester Institute of Technology received a $175,470 Project Grant award from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), effective August 12, 2025, with completion targeted for June 30, 2029. The award supports the development of a reliable vision-language assistant for dermatology artificial intelligence (AI) that addresses critical gaps in early melanoma diagnosis and...
- Federal Grant Award Summary KDH Research and Communication, Inc. received a $303,916 Project Grant award dated September 19, 2025, from the National Institute on Minority Health and Health Disparities under the Minority Health and Health Disparities Research program (CFDA 93.307). The award funds development and evaluation of SUPPORT (Supplying Useful Perimenopause Through Post-Menopause Online Resources and Tools), a culturally appropriate Community Health Worker (CHW) training program designed...
KNOWLEDGE ENGINE- A COMPUTATIONAL APPROACH TO COMBATTING DERMATOLOGICAL HEALTH DISPARITIES IN UNDERSERVED COMMUNITIES - ABSTRACT - HAIR PRODUCTS MARKETED TOWARDS BLACK WOMEN CONTAIN A DISPROPORTIONATE AMOUNT OF TOXIC OR ALLERGENIC INGREDIENTS, AND RESEARCH SUGGESTS THAT CHEMICAL EXPOSURE FROM THESE PRODUCTS MAY CONTRIBUTE TO HEALTH DISPARITIES IN BLACK WOMEN. ILLUSTRATING THIS, A STUDY OF 18 MAINSTREAM PRODUCTS COMMONLY USED BY BLACK WOMEN FOUND THAT 100% OF PRODUCTS CONTAINED ARTIFICIAL FRAGRANCES KNOWN TO CAUSE MULTIPLE CONDITIONS INCLUDING SKIN IRRITATION AND ECZEMA, WHILE 72% OF PRODUCTS CONTAINED METHYLPARABEN, AN INGREDIENT ASSOCIATED WITH ALTERED HORMONE LEVELS IN PREGNANT WOMEN, ESTROGENIC AND ADIPOGENIC ACTIVITY, AS WELL AS AN INCREASED RISK OF PRURITUS (ITCHY SKIN) IN BLACK WOMEN. OTHER POOR HEALTH OUTCOMES LINKED TO HAIR PRODUCT USE INCLUDE CONTACT DERMATITIS, AND HAIR LOSS-AFFECTING AN ESTIMATED 50% OF BLACK WOMEN-AS WELL AS ELEVATED RISKS FOR BREAST CANCER, PREMATURE PUBERTY, REPRODUCTIVE HARM, AND OTHER HORMONE-MEDIATED DISEASES AND CONDITIONS. EXPOSURE TO EXOGENOUS HORMONES AND ENDOCRINE-DISRUPTING CHEMICALS (EDCS) HAS ALSO BEEN REPORTED AS POTENTIALLY CONTRIBUTING TO CASES OF EARLY MENSTRUATION, UTERINE FIBROIDS, AND INFERTILITY. NOTABLY, BLACK WOMEN OF REPRODUCTIVE AGE HAVE BEEN FOUND TO HAVE HIGHER LEVELS EDCS IN THEIR BODIES (E.G., PARABENS, PHTHALATES) COMPARED TO WHITE WOMEN OF THE SAME AGE. IT HAS BEEN POSTULATED THAT THE ELEVATED RISKS OBSERVED AMONG BLACK WOMEN MAY OWE TO BOTH HIGHER CONCENTRATIONS OF EDCS IN PRODUCTS MARKETED TO THEM AND HIGHER FREQUENCIES OF APPLICATION, BUT MORE RESEARCH IS NEEDED TO CLARIFY POTENTIAL LINKS, PARTICULARLY AS BLACK HAIR AND SKIN HAVE LARGELY BEEN EXCLUDED FROM R & D FOR PRODUCT DEVELOPMENT AND CLINICAL RESEARCH. ADDRESSING THE NEED FOR FURTHER INVESTIGATION INTO RISKS ASSOCIATED WITH INGREDIENTS IN HAIR PRODUCTS, BEST PRACTICES FOR SAFER USE, AND APPROPRIATE AVENUES FOR KNOWLEDGE SHARING WITHIN THE COMMUNITY, HAIRDAYS PROPOSES A MULTI-MODAL APPROACH APPLYING ARTIFICIAL INTELLIGENCE (AI) TOOLS INCLUDING MACHINE LEARNING (ML) AND NATURAL LANGUAGE PROCESSING (NLP) TO DELIVER A FIRST-IN- KIND HAIR INTELLIGENCE PLATFORM THAT WILL PROVIDE INGREDIENT TRANSPARENCY, OFFER DATA-DRIVEN HAIR CARE RECOMMENDATIONS, AND PRESENT CULTURALLY CONSCIOUS INSIGHTS TO PROMOTE SAFER PRACTICES. PRODUCT INGREDIENTS WILL BE ASSESSED USING STRUCTURED AND UNSTRUCTURED DATA MINED FROM SCIENTIFIC JOURNALS AND HAIR CARE/SCIENCE DATABASES, AS WELL AS PRODUCT REVIEWS TO UNDERSTAND THE RELATIONSHIPS BETWEEN FACTORS SUCH AS INGREDIENTS, FREQUENCY OF USE, HAIR PROFILE, AND USER SATISFACTION. WE WILL USE THESE KNOWLEDGE GAINS TO GENERATE INSIGHTS ON INGREDIENT RISK AND CORRESPONDING PRODUCT RECOMMENDATIONS, WHICH WILL THEN BE DISSEMINATED TO AFFECTED COMMUNITIES THROUGH THE HAIRDAYS PLATFORM. THROUGH SUCCESSFUL DEVELOPMENT OF THE ENVISIONED PLATFORM, WE AIM TO MITIGATE SCALP, HAIR, AND RELATED PATHOLOGIES (E.G., POTENTIAL BREAST CANCER RISK) STEMMING FROM ILL-MATCHED PRODUCTS AND HIGH-RISK INGREDIENTS. PHASE I SPECIFIC AIMS ARE AS FOLLOWS: 1) DEVELOP HAIR KNOWLEDGE ENGINE USING NLP AND AI TO EXTRACT AND MAP PRODUCT AND INGREDIENT DATA; AND 2) ASSESS IMPACT OF USER ENGAGEMENT ON ATTITUDES AND BELIEFS ABOUT PRODUCT SELECTION AND USAGE.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 1/22/26 | ||
| Not listed | $259.6k | 7/22/23 |