Artificial Intelligence in the Life Sciences
- ISSN: 2667-3185
Editor-In-Chief: Bajorath
Next planned ship date: June 20, 2024
Providing a scientific forum for practical applications and theoretical advances of Artificial Intelligence (AI) in the life sciences and related disciplines including (but not… Read more
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Next planned ship date:
June 20, 2024
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Request a sales quoteProviding a scientific forum for practical applications and theoretical advances of Artificial Intelligence (AI) in the life sciences and related disciplines including (but not restricted to):
Background: Artificial Intelligence originates from computer science and covers a wide range of approaches intended to enhance the ability of machines to make data-driven decisions and accurate predictions of events. In many scientific fields, AI is being increasingly considered and integrated, especially in the context of Big Data. Given their complexity and highly interdisciplinary nature, the life sciences provide ample opportunities for AI to impact R&D efforts in a variety of ways.
Key words: Artificial Intelligence; Life Sciences; Drug Discovery; Bio- and Cheminformatics, Machine Learning; Machine Intelligence; Deep Learning; Data Mining; Big Data.
General, molecular, and systems biology
Population and disease genetics
Medicinal chemistry and chemical biology
Pharmacology and drug discovery
Epidemiology and clinical investigations
Background: Artificial Intelligence originates from computer science and covers a wide range of approaches intended to enhance the ability of machines to make data-driven decisions and accurate predictions of events. In many scientific fields, AI is being increasingly considered and integrated, especially in the context of Big Data. Given their complexity and highly interdisciplinary nature, the life sciences provide ample opportunities for AI to impact R&D efforts in a variety of ways.
Key words: Artificial Intelligence; Life Sciences; Drug Discovery; Bio- and Cheminformatics, Machine Learning; Machine Intelligence; Deep Learning; Data Mining; Big Data.
- ISSN: 2667-3185
- Volume 2
- Issue 2
Read the Artificial Intelligence in the Life Sciences Guide for Authors, Open Access policy, and latest articles on ScienceDirect