AI Technologies in the Transformation of Life Sciences

Life sciences are undergoing one of the most comprehensive research transformations in their history under the influence of artificial intelligence. Next-generation models in genomics, molecular biology, protein structure prediction, and drug discovery are changing how biological data is interpreted while making laboratory processes faster, more scalable, and more predictable. This report examines the impact of AI technologies across healthcare and the life sciences, from clinical decision support to structural biology.

AI in Healthcare: Clinical, Operational, and Ethical Dimensions

The potential and challenges of artificial intelligence in healthcare are addressed across clinical applications, workforce and patient perspectives, ethical principles, and system integration. Oncology and critical care examples are used to evaluate diagnosis, trust, and workflow integration.

AI in Healthcare through a Structural Biology Lens

The intersection of structural biology and clinical decision-support systems is analyzed through maturity levels, molecular modeling, and transformation in the research infrastructure. Artificial intelligence is positioned as a foundational component of biomedical discovery.

This report aims to provide a strategic framework by presenting the opportunities and systemic conditions of AI technologies in the life sciences from a multidimensional perspective.