Session 1: KNIME in Pharmacology Education and Research by Ian S. Haworth
Artificial Intelligence (AI) has many applications in pharmaceutical research and patient care. This talk will focus on how KNIME can help teach the principles of pharmacology and medicinal chemistry using AI, and why AI is an important tool in pharmacy education to prepare pharmaceutical scientists and pharmacists alike. We will demonstrate how KNIME can stimulate student interest in AI applications in pharmacy and pharmacology, an example of how you can integrate AI into pharmacy education, and how this can lead to research activities that take advantage of the many computational and chemical features of KNIME.
Session 2: KNIME at a tool to study HIV Health Disparities by Kimberly D. Deas
In this talk, we will explore how KNIME, an open-source data analytics platform, can be effectively utilized to investigate and address HIV health disparities. We will demonstrate practical workflows for data integration, preprocessing, and visualization, focusing on social determinants of health and epidemiological data. By leveraging KNIME’s intuitive interface and robust analytics capabilities, we aim to empower researchers and data scientists to uncover actionable insights and develop targeted interventions to reduce HIV-related disparities.
Speakers
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