AI boosts efficiency in early, high-failure R&D, improving success rates and capital efficiency across biotech and pharma.
Explore AI in drug discovery and its journey from promise to proof in 2025 with significant achievements and challenges faced.
Changes in the political climate of the United States are spilling into scientific research. While many past administrations, of both parties, supported and funded science funding and education, the ...
Overview AI is speeding up drug discovery by analyzing large biological and chemical data in a short time.Deep learning and AI systems help design new drug mole ...
Find out how NAMs are influencing safety assessments and decision-making in the pharmaceutical industry ahead of 2026.
There’s no doubt that large language models and generative AI tools have taken the world by storm. Their ability to create, ...
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 ...
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 ...
Oxana Iliach is a Senior Director of Regulatory Strategy at Certara (PA, USA), a biotech company that offers comprehensive solutions for transforming and accelerating drug development. In her spare ...
The Mystra platform, developed over 10 years, offers biopharma partners proven analytical power to turn months of R&D into minutes, dramatically increasing the availability of quality genetic insights ...
Medra, an artificial intelligence startup focused on drug discovery, has raised $52 million in early-stage funding to try to integrate powerful large language models with physical systems that can ...
Insilico Medicine, a clinical-stage biotechnology company powered by generative AI, and Qilu Pharmaceutical Group, a major comprehensive modern pharmaceutical enterprise in China, as well as its ...