List view / Grid view
Explore how artificial intelligence (AI), biomarkers, and innovative trial technologies are creating a more efficient, data-driven future for drug discovery. From better patient selection to smarter trial design, see how clinical research is evolving to deliver new therapies faster.
Deep learning is transforming lung disease treatment by enabling earlier diagnosis, precise monitoring and more efficient clinical trials. This article explores how AI-driven imaging is accelerating drug development and improving patient outcomes.
In this first interview of a two-part series, Andreas Kolleger explores the convergence of knowledge graphs and large language models. As the head of GenAI innovation at Neo4j, Andreas brings a unique cross-industry perspective on how these technologies can enhance life sciences workflows.
Drug development is plagued by high costs, long timelines and low success rates, but what if AI could change that? Read on to discover real-world examples and explore the transformative potential of AI in drug development.
In this interview with Jose-Manuel Collados, learn how ABB's strategic partnerships and automation technology are improving lab efficiency, enhancing precision and ultimately speeding up the development of life-saving treatments.
As cancer therapies evolve, a critical opportunity is emerging in the form of DNA Damage Response (DDR) research. With breakthroughs in genomics, drug delivery and AI, DDR pathways are set to overcome resistance and alter treatment strategies. Find out why now is the perfect moment to refocus on DDR, and…
In this second part of a two-part series, we continue Sujeegar Jeevanandam’s exploration of the future of AI in drug discovery. We share his vision for transformative AI applications, such as simulating human pharmacokinetics and pharmacodynamics, and offer strategic recommendations for biotechs looking to adopt AI.
Download our latest report to discover how AI is transforming drug discovery, accelerating treatments and driving personalised care.
Insilico Medicine’s AI-designed drug for idiopathic pulmonary fibrosis (IPF), Rentosertib, has been granted an official name by USAN. This is the first drug where both the target and compound were discovered using generative AI, marking a major milestone in AI-driven drug development.
AI is transforming drug discovery, but its adoption mirrors past technological shifts in the industry. In this first part of a two-part series, we reveal Sujeegar Jeevanandam’s observations of the parallels between AI and the electronic lab notebook revolution, highlighting key challenges, lessons learned, and what the future holds for…
AI-driven drug development, powered by advanced models and expanding data access, is becoming a reality. Learn why navigating regulatory hurdles and mastering biology’s inherent complexities are crucial to fully unlocking its potential.
ElevateBio is teaming up with Amazon Web Services (AWS) to advance CRISPR gene editing using AI and cloud computing. This collaboration aims to accelerate drug discovery for genetic diseases, making next-generation therapies more efficient and accessible.
Google has introduced an AI-powered 'co-scientist' designed to accelerate biomedical research and drug discovery by generating scientific hypotheses and identifying novel therapeutic targets.
Scientists have developed an AI algorithm capable of searching through 10 sextillion potential drug molecules, a feat previously considered impossible. This method could significantly speed up drug discovery and the development of new treatments.
Insilico Medicine’s AI-designed CDK12/13 inhibitors show promise against treatment-resistant cancers. Find out how this breakthrough could reshape cancer therapy.
