AI model predicts drug properties to speed up development

AI model predicts drug properties to speed up development

Developing new drugs to treat illnesses has typically been a slow and expensive process. However, a team of researchers at the University of Waterloo uses machine learning to speed up the development time.

University of Waterloo creates AI model to speed up drug development

University of Waterloo researchers have developed Imagand, a generative AI model for fast drug discovery, predicting drug properties accurately to revolutionize pharmaceutical development.

Meet Sita Sirisha Madugula: Pioneering AI-driven Innovations in Computational Biology and Drug Discovery

Leading artificial intelligence (AI) driven drug discovery and bioinformatics, Dr. Sita Sirisha Madugula is making groundbreaking contributions to computational biology, cheminformatics, and machine learning (ML). Her leadership in the scientific community comes from her experience in protein modeling, medication repurposing, and AI-driven biological system analysis. Educational Journey and Academic Foundation With her Ph.D. in Computational […]…

CEO of Google DeepMind’s Company Increases $600 Million

Demis Hassabis, the CEO and co-founder of Google DeepMind, created a drug development artificial intelligence (AI) business that has raised $600 million in its first round of external funding. Advanced AI models are being used by Isomorphic Labs to transform and expedite drug discovery across several therapeutic domains. Notably, the business claimed that AlphaFold, which gave Hassabis a Nobel Prize for figuring out the structure of almost every…

Imagine a laboratory where medicines are not discovered by trial and error, but thanks to artificial intelligence, as if we had a kind of molecular GPS that guides us directly to the most promising solutions. That’s precisely what Isomorphic Labs, a company emerging from Google’s innovation core, is building and now takes a big step towards the future of biotechnology after getting an investment of 600 million dollars. This company, born in 2021…

Artificial Intelligence Spotlights Medication Risks, Improves Drug Safety

A multicenter study led by Cedars-Sinai created a database of adverse medication events--the fourth leading cause of death in the United States and a medical issue costing more than $500 billion annually.