Natasha Kulviwat, having been interested in neuroscience and mental health from an early age, noticed that neuroscience wasn’t making as much progress in mental health diagnoses and interventions as she thought it should.

So, the 17-year-old from Jericho High School in Jericho, New York embarked on a search for a biomarker related to suicide, wondering if there was a way to use neuroscience to identify those at risk.

Kulviwat looked at brain tissue for those who died by suicide and found there was an increase in a protein biomarker in suicide decedents. The biomarkers could also identify genetic vulnerabilities that could lead to suicidal ideation. 

So, for instance, pathologists could find spikes in the protein biomarkers and, along with a self-report questionnaire, could catalyze suicide prevention in the future.

“My research serves as a small puzzle piece that will hopefully advance the way we view diagnostics for suicide in the future,” Kulviwat said.

For William Gao, his research is personal. Three of his grandparents, who lived in rural China with sparse access to health care, were diagnosed with cancer. 

“Poor health care meant late diagnoses,” Gao said. “And late diagnoses meant grim prognoses.”

During his research, 18-year-old Gao noticed that shortages in pathologists around the world cause long diagnosis times, especially in developing countries. He said this elevates mortality rates in breast cancer patients, for example.

To tackle these health care disparities, the teen from Centennial High School in Ellicott City, Maryland, developed an AI diagnostic tool to support doctors and hospitals in the diagnosis process. Rather than sending tissue samples to a separate lab, with long wait times for results, Gao’s app creates a heat map, then and there, of a biopsied tissue revealing exactly what part of the tissue sample could be malignant.

Knowing where to look in a tissue sample could vastly speed up the diagnostic process, Gao said. And, not only that — the app ameliorates the risks associated with patient privacy, since it eliminates the process of transferring patient data between institutions.

Gao said that this is a noteworthy step towards offering more equitable health care outcomes, and he sees room to collaborate with the venture and entrepreneur space to scale the app. 

“I hope it can be applied in rural areas which can create a real impact and really have an ability to support patients around the world,” he said.

Gavriela Beatrice Kalish-Schur knew from an early age that STEM was for her. But it was in high school that she knew she wanted to specialize in neuroscience, “I think because we know so little about the brain,” she said.

She also knew that anxiety impacts many young people, and that current therapies aren’t as effective as they could be, or they’re very expensive — or both.

The 18-year-old senior at Julia R. Masterman High School in Philadelphia, Pennsylvania, said she was interested in understanding what’s happening on a cellular level with anxiety to help inform the development of more effective treatments.

Her experiment: Make fruit flies anxious. She targeted a certain brain pathway called IRE1, knocking it down in the flies. “Knocking down is like turning down the volume when you’re listening to music,” she explained. 

Then she observed their behavior. And like the proverbial wallflower at a school dance, the fruit flies clung to the wall of the petri dish, rather than spread over the surface as they normally would. In other words, the flies exhibited anxious behavior.

Kalish-Schur discovered that these flies had different protein levels than the control group. Understanding the relationship between the IRE1 pathway and anxiety, she said, can lead to more targeted treatments for anxiety in humans. 

”We can use what we already know and new techniques to develop cures for diseases that harm a lot of people,” Kalish-Schur said.