David Kokel

Deep phenotypic profiling of neuroactive drugs in larval zebrafish

The paper trains a deep metric learning model on zebrafish behavioral profiles to identify neuroactive compounds, achieving better performance than correlation distance and validating predictions with in vitro assays.

Genetically encoded cell-death indicators (GEDI) to detect an early irreversible commitment to neurodegeneration

This paper introduces GEDI, a fluorescent biosensor that detects early irreversible commitment to cell death in neurons, enabling real-time and high-throughput analysis of neurodegeneration.

Simultaneous classification of neuroactive compounds in zebrafish

This paper introduces an open platform for classifying neuroactive compounds in zebrafish using phenotypic responses and provides a large dataset of drug effects.