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Demands on central laboratories are consistently increasing, heightening the challenge to deliver operational excellence and the highest standard of scientific integrity with both speed and agility. ICON Laboratories is transforming the way we leverage data and intelligent operational models to meet evolving trial needs.
From richer biomarker content to patient-friendly sampling, first-void urine is emerging as a promising tool in precision health. Here is why scientists are paying attention.
From gene therapy to Long Covid, better assays are helping researchers move promising drug candidates from early studies into clinical trials. Dr Alexandre Lucas explains the technologies, challenges and innovations driving this progress.
With few antiviral options available to immunocompromised patients, a new generation of therapies - like AIC468 - is aiming to change that.
CAR T therapies are saving lives, but toxicities such as CRS and ICANS remain a major barrier. What will it take to overcome them?
AI is increasingly used in drug discovery, but hidden bias and ‘black box’ models threaten trust and transparency. This article explores how explainable AI can turn opaque predictions into clear, accountable insights.
By combining human tissue models with explainable AI, researchers can analyse complex patient data to identify which treatments work best for which patients. First applied to inflammatory bowel disease, this approach could improve clinical trial success rates across many diseases.
From precision proteomics to AI-powered immune profiling, next-generation laboratory technologies are changing how new therapies are discovered and developed. Here are four innovations set to shape the lab of the future - and the future of drug discovery.
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.
With over 1,000 skin diseases lacking approved treatments, a search-and-develop model is changing how new therapies are sourced and developed. Chief Scientific Officer, Jacob Pontoppidan Thyssen, outlines the strategy behind it.
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.
Most gene therapies rely on static DNA promoters to control gene activity, but nature uses far more sophisticated tools. Dr Matthew Dale explores how harnessing RNA-level control could enable treatments that sense and respond in real time, offering unprecedented precision and safety.
In this first-in-human Alzheimer’s study, Wnt-activated autologous stem cells are delivered intracerebroventricularly (directly into the brain) to address neuronal loss, while also reducing amyloid and tau biomarkers and improving cognition. Early data from this regenerative approach could help early drug discovery teams shape target selection, biomarker development and trial design.
What if familiar lab formats could be redesigned to remove the weak points in permeability and absorbance testing? This article explores how design choices in common consumables can improve both speed and reproducibility in early-stage research.
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.
Choosing the right bispecific antibody format can make or break your therapy’s success. This article explores how format impacts function, manufacturability and development strategy - helping you make the best choice from the start.
