The identification of drug-target Interactions (DTIs) represents a pivotal link in the process of drug development and design. It plays a crucial role in narrowing the screening range of candidate ...

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates in ...

With over 13 lakh people estimated to be using substances in Jammu and Kashmir, experts warn that the region is facing a mounting public ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

Pharmaceutical-sector focussed AI startup Graph AI’s $3 Mn seed funding round was led by Bessemer Venture Partners The startup will use the capital for product innovation, team expansion, and ...

Researchers developed AI tools that designed drug molecules while accounting for protein movement during binding. The tools ...

In 2020, UHG deployed graph to track COVID-related hospitalizations, discharges, test results, and more at a provider and county level. Another use case involves predicting potential patient adverse ...

The pharmacovigilance and drug safety software market size was valued at USD 225.36 million in 2025 and is projected to grow from USD 40.91 million in 2026 to USD 421.99 million by 2034 at a CAGR of 7 ...