Predictive markers are biological characteristics that are objectively measured and evaluated to predict the course of a disease or a response to a therapeutic intervention. Examples include the ...

Successful translation of drug response prediction models to the clinic remains limited. Here, the authors introduce a model evaluation pipeline called DrEval, and report that that deep learning ...

With hardware prices spiraling, AI vendors ramping up token costs, and models becoming drastically slimmer and more economical, running AI models locally isn’t just going to be a good idea whose time ...

Abstract: Predictive maintenance for power electronic converters has emerged as a critical area of research and development. With the rapid advancements in deep-learning techniques, new possibilities ...

Abstract: Spatio-temporal predictive learning plays a crucial role in self-supervised learning, with wide-ranging applications across a diverse range of fields. Previous approaches for temporal ...