Publication details

AI for Life: Trends in Artificial Intelligence for Biotechnology

Authors

HOLZINGER Andreas KEIBLINGER Katharina HOLUB Petr ZATLOUKAL Kurt MÜLLER Heimo

Year of publication 2023
Type Article in Periodical
Magazine / Source NEW BIOTECHNOLOGY
MU Faculty or unit

Institute of Computer Science

Citation
Web ScienceDirect
Doi http://dx.doi.org/10.1016/j.nbt.2023.02.001
Keywords AI; biotechology; explainable artificial intelligence; XAI; life sciences; provenance
Description Due to popular successes (e.g., ChatGPT) Artificial Intelligence (AI) is on everyone's lips today. When advances in biotechnology are combined with advances in AI unprecedented new potential solutions become available. This can help with many global problems and contribute to important Sustainability Development Goals. Current examples include Food Security, Health and Well-being, Clean Water, Clean Energy, Responsible Consumption and Production, Climate Action, Life below Water, or protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss. AI is ubiquitous in the life sciences today. Topics include a wide range from machine learning and Big Data analytics, knowledge discovery and data mining, biomedical ontologies, knowledge-based reasoning, natural language processing, decision support and reasoning under uncertainty, temporal and spatial representation and inference, and methodological aspects of explainable AI (XAI) with applications of biotechnology. In this pre-Editorial paper, we provide an overview of open research issues and challenges for each of the topics addressed in this special issue. Potential authors can directly use this as a guideline for developing their paper.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info