Emerging Science
Co-occurring concepts reveal new research directions in immuno-oncology
Concept co-occurrence analysis shows the newest ideas in scientific discovery and drives innovation in immuno-oncology.
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Bio
Julian Ivanov is a Senior Data Analyst in the Data, Analytics and Insights group at CAS. Prior to joining CAS he worked in computational chemistry roles at The Ohio State University and Multicase, Inc., and completed research at the Center for Environmental Research (UFZ), Leipzig, Germany. Julian holds a Ph.D. in Theoretical Chemistry from the Institute of Organic Chemistry, Bulgarian Academy of Science, and Masters and Bachelors degrees in Organic Chemistry from Bourgas Technological University.
Digital R&D
How AI drug discovery is identifying TBK1 inhibitors
How QSAR modeling and machine learning identify potential new drug compounds for kinase inhibitors
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Drug Discovery
Seeking COVID-19 therapeutic candidates with a computational approach
Learn how machine learning procedures and CAS COVID-19 resources, including scientific insights, open access datasets and special reports are assisting in the research to fight against COVID-19.
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