582 citations · 1.2k across the 19 of their papers we have counts for
6 papers · 1 filter
AI Competitions and Benchmarks: The life cycle of challenges and benchmarks
Gustavo Stolovitzky, Julio Saez-Rodriguez, Julie Bletz +4
Data Science research is undergoing a revolution fueled by the transformative power of technology, the Internet, and an ever increasing computational capacity. The rate at which so…
Drugst.One -- A plug-and-play solution for online systems medicine and network-based drug repurposing
Andreas Maier, Michael Hartung, Mark Abovsky +36
In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In…
A Platform for the Biomedical Application of Large Language Models
Sebastian Lobentanzer, Shaohong Feng, The BioChatter Consortium +6
Current-generation Large Language Models (LLMs) have stirred enormous interest in recent months, yielding great potential for accessibility and automation, while simultaneously pos…
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…
Democratising Knowledge Representation with BioCypher
Sebastian Lobentanzer, Patrick Aloy, Jan Baumbach +26
Standardising the representation of biomedical knowledge among all researchers is an insurmountable task, hindering the effectiveness of many computational methods. To facilitate h…
DOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics
Arezou Rahimi, Luis A. Vale-Silva, Maria Faelth Savitski +2
Single-cell RNA sequencing (scRNA-seq) and spatially-resolved imaging/sequencing technologies have revolutionized biomedical research. On one hand, scRNA-seq provides information a…