From Big Data to small As far back as 2020 – this ... And as for future AI drug discovery, it seems the medicinal horizon will become ever more intertwined with this technology – at least ...

This article provides examples of how AI is helping to shape drug discovery, from drug design through to clinical trials.

Fortunately, cutting-edge technologies such as AI, blockchain, and big data have the potential to eliminate costly inefficiencies in the drug discovery and development process. The high risk ...

Absci will use AMD’s $20 million investment to enhance its AI models. In parallel, the companies will collaborate to develop ...

Finding new medicines has always been a long, expensive, and complicated process. Scientists need to identify the right targets in the body, test thousands of potential compounds, and spend years in ...

Chip maker AMD is investing $20 million in AI drug startup Absci, which will use AMD chips and software for drug development.

The deal expands a deal to discover and develop treatments for obesity, type 2 diabetes and cardiovascular disease using ...

Recursion’s innovative drug discovery process integrates dry lab (experiments run in-silico), wet lab (traditional experiments), AI-powered data analysis, and LOWE (LLM-orchestrated Workflow ...

(THE CONVERSATION) The potential of using artificial intelligence in drug discovery and development has sparked both ... in the drug development process when provided with high-quality data and ...

Susan Sharfstein, a professor at UAlbany's College of Nanotechnology, Science and Engineering, partners with DeepSeq.AI on a ...

In recent years, generative AI (GenAI) has become a prominent topic of discussion in life sciences. However, I often hear from my life science clients about the need for more clarity around its ...