{"id":17837,"date":"2026-07-01T11:50:13","date_gmt":"2026-07-01T15:50:13","guid":{"rendered":"https:\/\/www.bu.edu\/ciss\/?p=17837"},"modified":"2026-07-01T17:12:06","modified_gmt":"2026-07-01T21:12:06","slug":"innovation-with-impact-bu-engineering-students-develop-preecamplsia-detection-device-informed-by-social-science","status":"publish","type":"post","link":"https:\/\/www.bu.edu\/ciss\/2026\/07\/01\/innovation-with-impact-bu-engineering-students-develop-preecamplsia-detection-device-informed-by-social-science\/","title":{"rendered":"Innovation with Impact: BU Engineering Students Develop Preecamplsia Detection Device Informed by Social Science"},"content":{"rendered":"<figure id=\"attachment_17842\" aria-describedby=\"caption-attachment-17842\" style=\"width: 646px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" src=\"\/ciss\/files\/2026\/06\/Engineers-photos-636x320.png\" alt=\"\" width=\"636\" height=\"320\" class=\"wp-image-17842 size-medium\" srcset=\"https:\/\/www.bu.edu\/ciss\/files\/2026\/06\/Engineers-photos-636x320.png 636w, https:\/\/www.bu.edu\/ciss\/files\/2026\/06\/Engineers-photos-1024x514.png 1024w, https:\/\/www.bu.edu\/ciss\/files\/2026\/06\/Engineers-photos-768x386.png 768w, https:\/\/www.bu.edu\/ciss\/files\/2026\/06\/Engineers-photos-1536x772.png 1536w, https:\/\/www.bu.edu\/ciss\/files\/2026\/06\/Engineers-photos-800x402.png 800w, https:\/\/www.bu.edu\/ciss\/files\/2026\/06\/Engineers-photos.png 1686w\" sizes=\"(max-width: 636px) 100vw, 636px\" \/><figcaption id=\"caption-attachment-17842\" class=\"wp-caption-text\">From left to right, top row: Tobias Maluf-Mas (Biomedical Engineering), Neel Sajja (Biomedical Engineering), Mikayla Grymes (Biomedical Engineering), Ashiyana Chikani (Biomedical Engineering). Bottom row: Dakota Wang (Computer Engineering), Marcelo Jose Villafuerte (Biomedical Engineering), Julio Reyes (Mechanical Engineering), Thanaisawan Hill (Biomedical Engineering).<\/figcaption><\/figure>\n<p><span style=\"font-weight: 400;\"><em>This article written by <a href=\"https:\/\/www.linkedin.com\/in\/lindsay-griesman-571658283\/\">Lindsay Griesman<\/a> <span>(CAS\u201927) <\/span>, 2026 CISS Summer Writing Internship Program intern.\u00a0 She is <span>majoring in anthropology with a specialization in Health &amp; Medicine.\u00a0<\/span><\/em><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Maternal health disparities in the United States are higher than ever, the <\/span><a href=\"https:\/\/www.cdc.gov\/maternal-mortality\/preventing-pregnancy-related-deaths\/index.html\"><span style=\"font-weight: 400;\">CDC <\/span><\/a><span style=\"font-weight: 400;\">says. Yet data suggest that more than 80% of pregnancy-related deaths are preventable. Important strides have been made as organizations like <\/span><a href=\"https:\/\/www.marchofdimes.org\/\"><span style=\"font-weight: 400;\">March of Dimes<\/span><\/a><span style=\"font-weight: 400;\"> (which focuses on both advocacy and funding research) and <\/span><a href=\"https:\/\/everymothercounts.org\/resources\/?gad_source=1&amp;gad_campaignid=10427970691&amp;gbraid=0AAAAACUdkYzz7kjIFVV6gQtTqKLvh01DM&amp;gclid=Cj0KCQjwo_PRBhDNARIsAEcVALUWz1BI5SPWry7pjDHc1OUdK8hPc5iY-Ys_ARAMT-svM_pLz-ynWPIaAnXNEALw_wcB\"><span style=\"font-weight: 400;\">Every Mother Counts\u00a0 <\/span><\/a><span style=\"font-weight: 400;\">(outreach and education-based) have been established, and legislation has been passed to standardize care. While these policy and non-profit initiatives have successfully improved state-level data tracking of maternal mortality rates, systemic gaps in care and technology access still leave thousands of mothers at risk. For eight Boston University Engineering students, the current work was not enough. It became a call to action.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">When <\/span><a href=\"https:\/\/www.linkedin.com\/in\/ashiyanachikani\/\"><span style=\"font-weight: 400;\">Ashiyana Chikani <\/span><\/a><span style=\"font-weight: 400;\">(ENG\u201927), <\/span><a href=\"https:\/\/www.linkedin.com\/in\/dakota-wang-16040923b\/\"><span style=\"font-weight: 400;\">Dakota Wang<\/span><\/a><span style=\"font-weight: 400;\"> (ENG\u201927), <\/span><a href=\"https:\/\/www.linkedin.com\/in\/julio-reyes72879\/\"><span style=\"font-weight: 400;\">Julio Reyes<\/span><\/a><span style=\"font-weight: 400;\"> (ENG\u201927),<\/span> <a href=\"https:\/\/www.linkedin.com\/in\/marjvilla\/\"><span style=\"font-weight: 400;\">Marcelo Jose Villafuerte<\/span><\/a><span style=\"font-weight: 400;\"> (ENG\u201928), <\/span><a href=\"https:\/\/www.linkedin.com\/in\/mikaylagrymes\/\"><span style=\"font-weight: 400;\">Mikayla Grimes<\/span><\/a><span style=\"font-weight: 400;\"> (ENG\u201927), <\/span><a href=\"http:\/\/www.linkedin.com\/in\/neelsajja\"><span style=\"font-weight: 400;\">Neel Sajja<\/span><\/a><span style=\"font-weight: 400;\"> (ENG\u201927), <\/span><a href=\"https:\/\/www.linkedin.com\/in\/thanaisawan-hill\/\"><span style=\"font-weight: 400;\">Thanaisawan Hill<\/span><\/a><span style=\"font-weight: 400;\"> (ENG\u201927), and <\/span><a href=\"https:\/\/www.linkedin.com\/in\/tobias-maluf-mas-1788582a2\/\"><span style=\"font-weight: 400;\">Tobias Maluf-Mas<\/span><\/a><span style=\"font-weight: 400;\"> (ENG\u201927), <\/span><span style=\"font-weight: 400;\">heard about the <\/span><a href=\"https:\/\/www.nih.gov\/challenges\"><span style=\"font-weight: 400;\">NIH\u2019s DEBUT<\/span><\/a><span style=\"font-weight: 400;\"> challenge \u2014<\/span> <span style=\"font-weight: 400;\">a design competition for biomedical engineering undergraduate students to develop solutions under different healthcare categories<\/span><span style=\"font-weight: 400;\">\u2014<\/span> <span style=\"font-weight: 400;\">they knew this was their opportunity to make an impact.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cIt was a chance for me to get hands-on experience with designing a biomedical device and working in a multidisciplinary team,\u201d said Hill. \u201cIt was a rare experience to collaborate in such a large group on a device with so many different parts and factors to consider&#8230;a chance to foster new ideas.\u201d After all, it\u2019s not every day undergraduate students get to team up and engineer a device from the ground up that can contribute significantly to closing the equity gap in maternal care.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For Maluf-Mas, the team leader, the project represented more than a competition. It was a chance to inspire, innovate, and positively impact underserved communities.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cWith Boston University&#8217;s last documented recognition in the NIH DEBUT Challenge occurring more than a decade ago, we hope this project helps inspire a renewed culture of undergraduate innovation and design,\u201d he said. \u201cYou never truly know what you are capable of achieving until you take the opportunity to challenge yourself and see where it leads.\u201d\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The team focused on preeclampsia, a pregnancy complication characterized by high blood pressure that remains one of the leading causes of maternal and fetal morbidity and mortality worldwide. Affecting approximately three to eight percent of pregnancies, preeclampsia is especially dangerous because many cases are not diagnosed until symptoms have already developed. It is a condition that is ubiquitous to all communities.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Hill explained that the team \u201cchose to focus on preeclampsia because improving early detection could help healthcare providers screen for [preeclampsia] before the onset of clinical disease.\u201d Earlier detection could allow for intervention, treatment, and preventive measures before further complications arise. In underserved communities where access to quality care is limited, so is the ability to have regular blood pressure checks, which is one of the key diagnostic tools for preeclampsia.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The issue\u2019s significance is also personal for team member Neel Sajja, whose interest in health equity stems from experiences within his own family. He saw the project as an opportunity to address broader disparities in healthcare. Coming from a family of all women, he is passionate about advocating for maternal and reproductive health and fighting against women\u2019s underrepresentation in healthcare.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cNo person deserves to be discriminated against and denied coverage just because they don\u2019t fill out the boxes for care on the surface,\u201d he said.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The United States medical system tends to be more readily available to higher-income communities, especially in fields such as reproductive care. Those living in underserved areas are not ensured quality healthcare for a number of reasons. Systemic inequities, imparted biases in care, and pre-existing conditions like diabetes and obesity (due to lack of nutritious food from poorly stocked food banks, far distances to travel, and\/or high prices), all increase the risk of developing preeclampsia. Additionally, some pregnant people are simply dismissed when they attempt to advocate for themselves. There is much room for growth in the realm of preventative and equitable care in maternal health.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">And thus, Preeclampsia Early Assessment of Risk with Longitudinal monitoring (PEARL) was born. The team, named SEBU (Societal Engineers of Boston University *not yet affiliated), as a nod to the College of Engineering\u2019s signature phrase, \u201cBuilding the Societal Engineer,\u201d developed the device thoughtfully to address these gaps in care.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201c<\/span><span style=\"font-weight: 400;\">PEARL is a machine learning-powered risk assessment tool designed to help identify patients who may be at risk of developing preeclampsia in pregnancy\u201d according to Grimes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Their project incorporates multiple factors known to influence the risk of preeclampsia, including blood pressure trends, medical history, and demographic information like race. A machine learning model analyzes these data points to generate a personalized risk score and identify the factors contributing most significantly to a patient\u2019s risk. The system combines cardiovascular acquisition bands, a Raspberry Pi computer, and a touchscreen interface that allows healthcare providers to enter information and view results. The model itself was trained using data from thousands of pregnancies, allowing it to identify patterns that may be difficult to recognize through traditional screening methods alone.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The students\u2019 approach was not solely shaped by engineering principles. \u201cConversations surrounding race and maternal health completely shifted how we developed PEARL,\u201d Wang noted.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As they learned more about the disproportionate burden of maternal mortality experienced by underserved populations (racial minorities, low-income communities, and low-education groups), they began designing PEARL with equity and access as a central consideration. Their machine learning model was trained using the nuMoM2b (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be) dataset, which contains data from more than 10,000 first-time pregnancies. This data was invaluable to the team\u2019s process: \u201cOur work would not have been possible without the Research Triangle Institute and their ongoing research efforts.\u201d SEBU also intentionally incorporated patient race and age into the model to better account for differences in preeclampsia risk across diverse populations and to support impartial risk assessment.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Those same conversations additionally influenced technical design choices. PEARL does not rely on a cloud-based infrastructure, and instead processes information locally using the Raspberry Pi computer. This allows the device to function in settings like clinics or homes with limited or unreliable internet access. Since \u201cPEARL was designed with the goal of expanding access to early preeclampsia risk assessment, particularly for communities that face barriers (geographic, financial, and access-based) to consistent prenatal care,\u201d the team also designed the system with usability in mind so that frontline healthcare workers could operate it in resource-constrained settings. With these considerations in mind, the team also designed the device to monitor blood flow at the wrist rather than using a traditional arm cuff, which increases accessibility and ease of use.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The result is a device that not only predicts risk but expands access to care. It is not only cost-effective, with a projected mass production cost of around $300 per unit, but also energy-efficient, operating off a rechargeable battery with a life of 1.5-2.5 hours. In that time, between 15 and 20 assessments can be completed. That\u2019s one full assessment every 10 minutes.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I asked the team if they had any takeaways from this project. Their answer? \u201cWe learned that true equity requires engineering a device that works reliably in any environment.\u201d They envision PEARL being used in rural clinics, community health centers, federally qualified health centers, and global maternal health programs where specialized testing and advanced diagnostic infrastructure may not be readily available.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cI hope people see that addressing health disparities requires more than developing new technology,\u201d Gymes said. \u201cIt means understanding the barriers that prevent people from accessing care and designing solutions with those challenges in mind.\u201d The WHO reports that 16% of maternal deaths globally are due to hypertensive disorders like preeclampsia.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For Chikani, a <\/span><a href=\"https:\/\/www.bu.edu\/prehealth\/health-professions\/physician-assistant\/\"><span style=\"font-weight: 400;\">pre-PA<\/span><\/a><span style=\"font-weight: 400;\"> student, \u201cthis project has reinforced why [I] chose to combine engineering and healthcare. Early preeclampsia risk assessment should be accessible to every pregnant patient, not just those with access to specialized testing or large healthcare systems. Working on PEARL showed me that meaningful improvements in patient care can happen long before a provider enters the exam room.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These intelligent, driven students are a prime example of a Boston University success story. They are confident, bold, and curious in their work, and PEARL\u2019s success demonstrates that engineering solutions can be strengthened when created with a deep understanding of the social factors that shape health outcomes. Their work is a reminder that innovation is not just about creating new or exciting technologies; it\u2019s about expanding the positive impact of such technologies and ensuring that they reach the vulnerable populations who need them most.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If no one has said it yet, let me be the first to say congratulations to these incredible students. What they\u2019ve accomplished in the last year is truly impressive and no small feat.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This article written by Lindsay Griesman (CAS\u201927) , 2026 CISS Summer Writing Internship Program intern.\u00a0 She is majoring in anthropology with a specialization in Health &amp; Medicine.\u00a0 Maternal health disparities in the United States are higher than ever, the CDC says. Yet data suggest that more than 80% of pregnancy-related deaths are preventable. Important strides [&hellip;]<\/p>\n","protected":false},"author":22310,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/ciss\/wp-json\/wp\/v2\/posts\/17837"}],"collection":[{"href":"https:\/\/www.bu.edu\/ciss\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bu.edu\/ciss\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/ciss\/wp-json\/wp\/v2\/users\/22310"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/ciss\/wp-json\/wp\/v2\/comments?post=17837"}],"version-history":[{"count":10,"href":"https:\/\/www.bu.edu\/ciss\/wp-json\/wp\/v2\/posts\/17837\/revisions"}],"predecessor-version":[{"id":17849,"href":"https:\/\/www.bu.edu\/ciss\/wp-json\/wp\/v2\/posts\/17837\/revisions\/17849"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/ciss\/wp-json\/wp\/v2\/media?parent=17837"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bu.edu\/ciss\/wp-json\/wp\/v2\/categories?post=17837"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/ciss\/wp-json\/wp\/v2\/tags?post=17837"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}