Prediction of chemical bioactivity and physical properties has been one of the most
important applications of statistical and more recently, machine learning and artificial …

Introduction: The timely identification biologically active chemicals, in disease relevant
screening assays, is a major endeavor in drug discovery. The existence of frequent hitters …

We report the major highlights of the School of Cheminformatics in Latin America, Mexico
City, November 24–25, 2022. Six lectures, one workshop, and one roundtable with four …

Avermectins have been effectively used in medicine, veterinary medicine, and agriculture as
antiparasitic agents for many years. However, there are still no reliable data on the main …

Abstract New Approach Methods (NAMs) that employ computational molecular modeling
approaches including artificial intelligence for predicting adverse effects of chemicals have …

La influenza es una infección viral aguda de las vías respiratorias, Los virus de influenza A
se presentan a nivel mundial y causan brotes anuales de intensidad variable de …

Abstract Machine learning (ML) is a field of computer science that allows interrogation to
allow modified navigation (learning) of the data and through statistical derivation prediction …

As a matter of full disclosure pertaining to the topic of today's hearings, I am currently
chairing a Workshop Committee of the National Academies of Sciences, Engineering & …