Sal Candido
A researcher at Biohub involved in research at the intersection of protein folding and AI prediction, who emphasizes the importance of wet-lab validation.
Timeline (last 90 days)
Candido points out that the standardization and scaling of experimental data are urgent priorities, as current biological experimental data is scattered, varies in format, and is difficult to reuse.
Both researchers believe that interpretability is a key obstacle to the deployment of AI in biomedicine, as it is difficult for clinical and regulatory levels to adopt model predictions whose reasons cannot be explained.
Both researchers believe that AI breakthroughs in biology are more likely to come from the synergy of computational methods and experimental methods, rather than simply stacking compute.
All Facts (3)
Candido points out that the standardization and scaling of experimental data are urgent priorities, as current biological experimental data is scattered, varies in format, and is difficult to reuse.
50%UnverifiedBoth researchers believe that interpretability is a key obstacle to the deployment of AI in biomedicine, as it is difficult for clinical and regulatory levels to adopt model predictions whose reasons cannot be explained.
50%UnverifiedBoth researchers believe that AI breakthroughs in biology are more likely to come from the synergy of computational methods and experimental methods, rather than simply stacking compute.
50%