Health Engineering | NYU Tandon School of Engineering

Health Engineering

Healthcare that’s smarter, fairer, & more within reach

New healthcare solutions require unique vision and constant collaboration. That’s why NYU Tandon is perfectly positioned to change the way we take care of ourselves and each other.

Phone with applications of different bodily functions

Diagnosis is a cough away

NYU Tandon scientists and Brooklyn Biotech, Mirimus, team up for producing new wearable health microchips.

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Wearable tech for healthier bodies and minds

Mental healthcare from your smartwatch

By monitoring sweat glands, Rose Faghih and her team can track brain arousal through the use of non-invasive wearables, almost instantly.

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A safer reality through virtual reality

still shot of esport target game used as model in research
Research exploring how quickly people react after observing a displayed visual target recently garnered best-paper honors (image source: ACM Digital Library)

Qi Sun is studying the mind-bending, performance-boosting potential of AR/VR technology.

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More accessible healthcare

A team of NYU researchers from the schools of engineering, medicine and business led by Professor Oded Nov are conducting a broad investigation into Digital Health Work: how to best bring scalable technologies into the clinic, empowering healthcare workers to take advantage of data-driven research and improve health outcomes for patients.

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Building better treatment through biomaterials

Jin Montclare blurred in background holding a gel capsule in the lab
Gel-forming protein molecules developed by Tandon researchers

Researchers at NYU Tandon led by Professor Jin Kim Montclare have developed a gel for delivering pharmacologic treatment directly to joints to halt the onset and progression of osteoarthritis. Montclare and her team have also created a new protein that has an increased ability to bind to viruses, creating a more efficient tool in the fight against COVID-19.

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Unveiling hidden health factors

Researchers at NYU Tandon are developing the technology to help track the development of breast cancer, without causing further harm. In the lab of Professor and Chair Andreas Hielscher, researchers are utilizing an optical tomography device that can be used to recognize and track breast cancer, without the negative effects of previous imaging technology.

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The technology is not just limited to breast cancer. Researchers, including Research Assistant Professor Alessandro Marone and Hielscher, are exploring optical imaging technology as a reliable way to diagnose patients with lupus. 

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The power of data + health

Mapping firearm ownership across the country

Newly published research from data scientist and firearm proliferation researcher Maurizio Porfiri, and co-authors Roni Barak Ventura, a post-doctoral researcher at Porfiri’s Dynamical Systems Lab, and Manuel Ruiz Marin of the Universidad Politécnica de Cartagena, Spain, describe a spatio-temporal model to predict trends in firearm prevalence on a state-by-state level by fusing data from two available proxies — background checks per capita and suicides committed with a firearm in a given state. 

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Big Data Takes on Hospitalizations

people rushing inside of a hospital emergency room
Researchers found that hospital mortality risk prediction models that included clinical variables developed in
one hospital were not generalizable to different hospitals or regions, at least in part due to disparities in race.

A team of researchers led by Rumi Chunara investigated whether mortality prediction models vary significantly when applied to hospitals or geographies different from the ones in which they are developed.

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EyeScore: Predicting stroke risk

NYU Tandon Assistant Professor S. Farokh Atashzar and NYUAD Assistant Professor Farah Shamout are colloborating on a project called EyeScore, which is developing a technology that uses non-invasive scans of the retina to predict the recurrence of stroke in patients.

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The Data Behind Pandemics

Assistant Professor S. Farokh Atashzar, with the support of a $1.1M Collaborative NSF grant and in collaboration with researchers at Northeastern University, will dive into “waves” of disease spread by developing novel approaches to computational network modeling and designing optimal mitigation control to minimize the spread.

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