most citedValidation Requirements for AI-based Intervention-Evaluation in Aging and Longevity Research and Practice

14 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024★ 14 cited

Validation Requirements for AI-based Intervention-Evaluation in Aging and Longevity Research and Practice

Georg Fuellen, Anton Kulaga, Sebastian Lobentanzer +4

The field of aging and longevity research is overwhelmed by vast amounts of data, calling for the use of Artificial Intelligence (AI), including Large Language Models (LLMs), for t…

q-bio.MN2024

Molecular causality in the advent of foundation models

Sebastian Lobentanzer, Pablo Rodriguez-Mier, Stefan Bauer +1

Correlation is not causation. As simple as this widely agreed-upon statement may seem, scientifically defining causality and using it to drive our modern biomedical research is imm…

q-bio.QM2023★ 4 cited

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…

q-bio.QM2023★ 13 cited

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…

q-bio.MN2023★ 2 cited

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…