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.
Diagnosis is a cough away
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.
A safer reality through virtual reality
Qi Sun is studying the mind-bending, performance-boosting potential of AR/VR technology.
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.
Building better treatment through biomaterials
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.
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.
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.
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.
Big Data Takes on Hospitalizations
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.
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.
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.