Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...

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 ...

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 ...

The average drug now costs more than US$1 billion to develop and takes more than a decade to reach the market 1. And for every success, there are nine drug candidates that fail clinical trials 2. “In ...

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 ...

Xaira is an integrated biotechnology company built to deliver on the promise of emerging AI tools to help transform the drug discovery and development process, providing more effective therapies to ...

It’s always a high-stakes gamble in the pharmaceutical industry to develop a new drug. The process typically takes 10 to 15 years and requires extensive testing, regulatory approval, and clinical ...

Duxin Sun receives funding from the NIH, FDA, and pharmaceutical industries including Bristol-Myers Squibb, Celgene Corporation, Aurinia Pharmaceuticals, Abbvie, Nanomedicine Innovation Center.

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 ...

Generative AI based on Large Language Models (LLMs), the technology behind popular tools like ChatGPT and Google Gemini, is revolutionizing various industries, including the world of drug discovery.

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 ...