Deep probabilistic generative models have achieved incredible success in many fields of application. Among such models, variational autoencoders (VAEs) have proved their ability in modeling a ...

To speed up the optimization process, we transform the corresponding problem into a lower-dimensional latent space learned by a variational autoencoder. This is trained on a total of 6839 different 2D ...

Defining success for early-stage, small biotech trials can be crucial for the success of Phase 1 and Phase 2 clinical trials. Learn more about the key metrics and considerations in this process.