This research exposes a hidden privacy risk in online voting and video conferencing: eye movements captured by standard webcams can reveal user choices. Using AI models, voting decisions were inferred with over 95% accuracy, highlighting that digital security must address behavioral signals—not just encryption.

This research examines whether anhedonia—a core symptom of depression marked by reduced pleasure and motivation—is linked to impairments in working and episodic memory. While memory performance did not differ across anhedonia levels, the findings highlight the need for further study to develop targeted, memory-based interventions.

This research develops DNA-origami-enhanced nanopores to detect individual biomolecules from a single drop of blood. By slowing molecules and reading their electrical signatures with machine learning, the technology enables rapid, ultra-early disease diagnosis without traditional laboratory testing.