List view / Grid view
Quantitative Systems Pharmacology (QSP) is fast becoming a standard tool in drug development, offering a human-relevant way to predict drug effects before the clinic. Dr Josh Apgar of Certara explains how it is helping to cut reliance on animal testing and speed discovery.
AI is starting to transform drug discovery, but progress is still slow and big challenges remain. Thibault Géoui explores the gaps, hurdles and breakthroughs needed before it can truly change pharma R&D.
Thibault Géoui explains why AI could finally help pharma overcome its productivity crisis and why the payoff won’t come as quickly as the optimists claim.
Drug discovery is slow, costly and often unsuccessful. DTR hears how GATC Health is applying AI and multiomics to make the process faster, more precise and less reliant on trial and error.
AI is moving beyond drug design to answer a critical question: can a promising compound actually be manufactured at scale? By predicting synthetic feasibility early, machine learning tools are helping drug developers avoid costly failures, streamline R&D and design molecules that are both effective and practical to produce.
Biomarkers are redefining how precision therapies are discovered, validated and delivered. This exclusive expert-led report reveals how leading teams are using biomarker science to drive faster insights, cleaner data and more targeted treatments – from discovery to diagnostics.
Effective financial management is vital for clinical trial success, yet many preclinical and clinical companies face inefficiencies due to outdated systems. Jennifer Kyle, CEO of Condor Software, explains how advanced financial platforms can streamline processes, improve forecasting and ensure better resource allocation throughout drug development.
What role could large language models and AI agents play in drug safety? In Part 3, Layla Hosseini-Gerami of Ignota Labs discusses how emerging technologies might make toxicity analysis faster, more accessible and part of the drug discovery workflow from day one.
Researchers in Brazil and Poland have developed an AI-powered tool that predicts cancer aggressiveness by analysing protein expression - offering new insights into tumour behaviour.
Why do so many drug candidates fail before reaching patients – and can AI help stop the losses? In Part 2, Layla Hosseini-Gerami of Ignota Labs outlines the scope of the toxicity problem and explains why failures often come too late to fix.
New therapeutic approaches are emerging for CNS disorders – but can they overcome the toughest barriers in drug development? Find out what is driving progress and what still stands in the way.
Why do so many drug candidates fail before reaching patients – and can AI help stop the losses? In Part 1, Layla Hosseini-Gerami of Ignota Labs outlines the scope of the toxicity problem and explains why failures often come too late to fix.
Single-cell and spatial technologies are giving researchers an unprecedented view of how brain diseases like Alzheimer’s really work. The result? Faster discovery, clearer targets and a new path towards more effective treatments.
AI will not replace drug discovery, but it might finally fix one of its most frustrating bottlenecks. Read how a targeted approach to ADMET is cutting through the noise.
Find out how dual-target ADCs and tumour-specific Treg depletion are shaping the next wave of targeted cancer therapies.
