Advancing antiviral therapeutics for immunocompromised populations
With few antiviral options available to immunocompromised patients, a new generation of therapies - like AIC468 - is aiming to change that.
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Articles
CAR T’s biggest hurdle: solving the toxicity problem
CAR T therapies are saving lives, but toxicities such as CRS and ICANS remain a major barrier. What will it take to overcome them?
Making sense of AI: bias, trust and transparency in pharma R&D
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.
AI meets human tissue to fast-track precision medicine development
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.
Lab of the future: four technologies to watch
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.
Animal-free drug discovery is closer with QSP
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.
Inside the search-and-develop model tackling 1,000 untreated skin diseases
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.
Beyond the hype: a veteran’s honest assessment of AI in drug discovery – Part 3
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.
Gene therapies that listen and respond: the power of RNA regulation
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.
Inside the Alzheimer’s study backing stem cells, not drugs
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.
Consumables engineered for speed and reproducibility in drug discovery
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.
Beyond the hype: a veteran’s honest assessment of AI in drug discovery – Part 2
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.
What if drug discovery took months, not decades?
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.
How to select the optimal bispecific antibody format for therapeutic success
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.
Challenges in developing robust potency assays for ADCs
Developing robust potency assays for Antibody-Drug Conjugates (ADCs) is crucial for ensuring their clinical success, but designing assays that meet both technical and regulatory standards is challenging. Here, Abzena’s CSO Campbell Bunce explores the complexities of assay development and the importance of ensuring accuracy, consistency and regulatory alignment for ADCs…
