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Using GenAI and expert reasoning, drug developers can now explore an asset’s long-term potential as early as the preclinical stage. This shift is helping to reshape pipeline planning and refine therapeutic strategy.
Scientists have developed a new AI-guided tool that predicts how bowel cancer becomes resistant to treatment – which could lead to development of new personalised therapies.
Kipu Quantum and IonQ have set a new benchmark in quantum computing by solving the most complex protein folding problem ever tackled on quantum hardware – creating potential for real-world applications in drug discovery.
AI is changing how clinical trials are run - quietly but significantly. Find out how digital twins are helping sponsors reduce control arms and accelerate development without changing trial endpoints.
Researchers at the University of North Carolina at Charlotte have used artificial intelligence to look at how the H5N1 bird flu virus is evolving to evade the immune system - insights that could make way for development of effective future therapies.
Think drug discovery is slow? This biotech is moving faster, smarter and deeper – by asking the question that no one else has.
As the lab–data science divide continues, Ian Kerman looks ahead to a future of deeper collaboration – one where shared skills, smarter tools and a shift in mindset could finally break down the barriers. In this second interview, he shares his vision, practical ideas and advice for the next generation…
Fauna Bio has launched Fauna Brain™, a powerful new AI platform that leverages the company’s expertise in comparative genomics to accelerate drug target discovery.
How do new cancer drugs make it to patients? This episode uncovers the challenges, successes, and AI advancements driving oncology treatments from preclinical screening to clinical trials.
DenovAI has unveiled a powerful AI-driven protein design platform capable of creating new, functional synthetic proteins from scratch - marking a big step forward for drug discovery.
James Atwood, COO of Opentrons, shares how accessible lab automation is helping research teams tackle tighter budgets, faster timelines and complex discovery workflows.
President Trump’s proposed drug pricing reforms are putting pressure on early-stage discovery. To keep pace, teams must rethink how they manage risk, resources and collaboration.
Genomics laid the foundation for precision medicine, but on its own, it offers only part of the picture. This article explores how integrated multiomics can provide the deeper biological context needed to drive more effective therapies forwards.
Lab scientists and data scientists often speak different languages and that miscommunication can slow down important research. In this interview, Ian Kerman shares how his team is working to break down those walls and spark better collaboration.
Drug development has long been hindered by fragmented data and complex processes, but a new wave of AI is reshaping the landscape. By integrating genomic, clinical and molecular data, multimodal models are revealing hidden patterns and accelerating more precise advancements in medicine.
