List view / Grid view
Scientists have developed a new computational model that reveals how the striosomal compartment of the brain’s striatum influences decision-making – which could lead to improved therapies for psychiatric disorders.
An interview with Thibault Géoui reveals why this technology wave might finally break through pharma's productivity crisis – and why it will take longer than the optimists claim.
12 August 2025 | By Wuxi Biologics
Low affinity or poor TCR yields slowing you down? Explore how CHO expression of soluble TCRs and TCR affinity maturation workflows via phage, serving as essential building blocks for early-stage TCR-TCE candidate generation.
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.
Discover how interactive response technology (IRT) is revolutionising the management of cell and gene therapy (CGT) trials by streamlining complex workflows, ensuring regulatory compliance and enhancing patient outcomes.
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management is vital for clinical trial success, yet many preclinical and clinical companies face inefficiencies due to outdated systems.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.
Next-generation sequencing (NGS) is advancing fast – and it’s not happening in isolation. Strategic partnerships and automation are streamlining workflows and reshaping what's possible in genomics research.
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.
