Louise Piilgaard

This study generates human appetite-regulating neurons and tanycytes from stem cells, identifying key progenitor markers and signaling mechanisms for hypothalamic subregion specification.

This study shows that automatic deep learning models for mouse sleep scoring struggle to generalize across labs due to signal variability and label noise, and proposes four robust models trained on diverse data.

The paper uses a microfluidic stem cell model to study early human neural patterning, identifying regional specification and fate determination during the epiblast stage.