Artificial intelligence (AI) and machine-learning (ML) approaches are the present-day buzzwords finding applications in a host of domains affecting our lives. These approaches use known datasets to train and build models that can predict, or sometimes, make decisions about a task. In one such case, researchers at the Indian Institute of Technology Bombay (IIT Bombay), Mumbai, have in a recent study, developed ML approaches using molecular descriptors for certain types of catalysis that could find use in several therapeutic applications.
Despite successful bans on the veterinary drug diclofenac in Nepal and parts of India, a decade-long undercover investigation reveals that toxic alternatives like flunixin and nimesulide are rapidly replacing it, posing a renewed existential threat to the region’s critically endangered vulture populations.