These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

1 Institute of AI, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China. 2 Department of Radiology, Union Hospital, Tongji Medical College, ...

This repo contains the source code and data in the ICLR 2022 paper, Towards Empirical Sandwich Bounds on the Rate-Distortion Function. For an introduction to this topic, see this blog post: part 1, ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...

1 Center for Biosystems and Biotech Data Science, Ghent University Global Campus, Incheon, Republic of Korea 2 Department of Biology, California State University, Fresno, CA, United States ...

Objectives This feasibility study aimed to model in silico the current healthcare system for patients triaged to a primary care disposition following a call to National Health Service (NHS) 111 and ...