Developing high-quality, safe, and effective drugs is a complex process that requires varied scientific skills and stringent regulatory assessments. Drug development is a process that spans many years ...

Recursion Pharmaceuticals leverages AI and machine learning to revolutionize drug discovery, reducing costs and accelerating development, positioning itself as a leader in tech-driven biopharma. The ...

Drug discovery has traditionally been slow and expensive, often taking decades and costing manufacturers billions. Traditional methods, while advancing, are hitting limits in tackling the complexities ...

In this interview, Dr. Malika Bsibsi discusses the role of iPSC models in advancing neuroscience drug discovery, focusing on neurodegeneration, neuroinflammation, and innovative in vitro approaches.

Traditionally, developing a new drug takes many years and requires a massive financial investment, often involving significant risk and a high likelihood of failure. AI models trained on extensive ...

Variant Bio, a private biotech firm, said on Tuesday it has launched a platform that uses artificial intelligence on genetic ...

Explore how AI-driven multiomics is reshaping drug discovery and personalized medicine development through innovative data ...

In my previous article, I discussed how AI is rapidly transforming the drug discovery process, significantly accelerating timelines and reducing costs. However, while AI's potential in this domain is ...

Experience the forefront of pharmaceutical innovation as Labroots and the Drug Discovery and Development planning committee host the 9th Annual Drug Discovery & Development Virtual Event on February ...

The most familiar artificial intelligence (AI) applications include text generation, facial recognition, and autonomous driving. But there are other AI applications that deserve their share of ...

SK Chemicals said Friday it has signed a memorandum of understanding with Nextgen Bioscience to strengthen cooperation on the ...