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Study authors Ryan Richard Ruff (left) and Richard Niederman (right) of NYU College of Dentistry

NYU Dentistry Study Identifies Effective School-Based Cavity Prevention Program

Apr 16, 2018 Tagged in Health and Medicine College of Dentistry Research

Both Programs Compared Prevented Cavities, But One Combining Techniques Linked with Less Decay

One Question: What Determines the Price We'll Pay for Something?

Apr 6, 2018 Tagged in Business and Entrepreneurship Health and Medicine One Question

Kenway Louie, assistant research scientist and research assistant professor at NYU's Center for Neural Science, tackles the question in under two minutes.

illustration: abstract rendering of a black hole

March 2018 in NYU Research

Apr 6, 2018 Tagged in Engineering, Science and Technology Health and Medicine Education and Social Sciences

Top findings from the past month.

We’ll Pay More for Unhealthy Foods We Crave, Neuroscience Research Finds

Apr 2, 2018 Tagged in Engineering, Science and Technology Health and Medicine Research Arts and Science

We’ll pay more for unhealthy foods when we crave them, new neuroscience research finds. The study also shows that we’re willing to pay disproportionately more for higher portion sizes of craved food items.

People with Diabetes Visit the Dentist Less Frequently, Despite Link Between Diabetes and Oral Health Complications

Apr 2, 2018 Tagged in Health and Medicine Research College of Nursing

New York University and East Carolina University Study Finds Concerning Decline in Dental Care

NYU Dentistry's Deepak Saxena, PhD, and Xin Li, PhD

NYU Dentistry Receives $2.2 Million to Study Periodontal Disease and Bone Loss in People with Diabetes

Apr 2, 2018 Tagged in Health and Medicine Research College of Dentistry

NIH-Funded Research Will Have Implications for Protecting Bone and Preventing Fractures

New Algorithm Enables Data Integration at Single-Cell Resolution

Apr 2, 2018 Tagged in Health and Medicine Engineering, Science and Technology Research Arts and Science Faculty

A team of computational biologists has developed an algorithm that can ‘align’ multiple sequencing datasets with single-cell resolution. The new method has implications for better understanding how different groups of cells change during disease progression, in response to drug treatment, or across evolution.