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Artificial Intelligence in the Life Sciences

  • Volume 2Issue 2

  • ISSN: 2667-3185

Providing a scientific forum for practical applications and theoretical advances of Artificial Intelligence (AI) in the life sciences and related disciplines including (but not re… Read more

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Providing 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):

  • New AI methods for life science research

  • Adaptation of existing AI concepts for life science applications

Application of AI approaches in:

  • Molecular and systems biology

  • Population and disease genetics

  • Bio- and cheminformatics

  • Medicinal chemistry, chemical biology, and drug discovery

  • Medical research and clinical investigations

Publications are required to contain substantial AI and life science components. Clinical studies reporting routine diagnostic efforts hall outside the scope of AILSCI.

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.