Insilico Medicine publishes AI drug discovery chapters in Springer Nature volume

On January 9, 2026, the latest edition of Applied Artificial Intelligence for Drug Discovery was published online as a Springer Nature volume spanning 27 chapters The chapter titled Artificial Intelligence for Drug Target and Pathway Identification, Assessment, Validation, and Indication Expansion was led The chapter titled Drug Discovery with Quantum Machine Learning was led The book obtained more than 1700 accesses only 10 days after publication. Alex Zhavoronkov said he is proud to see the decade of pioneering research serve as a cornerstone for this fundamental book for anyone interested in AI-driven drug discovery as this completes the cycle from theoretical exploration to academic publication then real-world application and back to industry-level guide.