Tools and techniques – Page 4
-
ArticleAI and the future of biomarker analysis in early R&D
AI is transforming biomarker analysis in early drug discovery, revealing hidden biological patterns that improve target discovery, patient selection and trial design for more precise and predictive R&D.
-
ArticleCircular RNA technology: the future of gene therapy
Pioneering circular RNA could redefine what the future of gene therapy looks like. Erik Digman Wiklund, CEO of Circio, shares how his company’s platform is enhancing gene expression and tackling toxicity challenges through smarter design and scientific collaboration.
-
ArticleWhy first-void urine could potentially change the future of HPV screening
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.
-
ArticleNasal drug delivery: the non-invasive future of treatment
Advances in formulation science and device technology are transforming nasal drug delivery, enhancing absorption, stability and patient adherence. This article examines the innovations driving its growth and highlights future applications ranging from systemic treatments to nose-to-brain therapies and vaccines.
-
ArticleBeyond weight loss: the gap in current drug development for obesity
Current obesity drug development remains overly focused on short-term weight reduction, despite obesity being a chronic, multifactorial disease. Broader, mechanism-driven approaches are needed to ensure durable efficacy, safety and accessibility.
-
ArticleRecombinant KLK1: the next step in stroke and preeclampsia treatment
With its lead candidate DM199, DiaMedica Therapeutics is advancing a recombinant form of KLK1 to restore blood flow, improve endothelial function and address unmet needs in the treatment of stroke and preeclampsia.
-
ArticleInside ELRIG Drug Discovery 2025: automation, AI and human-relevant models
At ELRIG’s Drug Discovery 2025, Drug Target Review spoke with the teams turning big ideas into usable tools – automation, AI and biology – that help scientists work smarter.
-
ArticleIL-2 and GLP-1 receptor agonist combination tackles neuroinflammation
Can targeting both regulatory and inflammatory pathways change how we treat neurodegenerative disease? Coya Therapeutics is testing that idea with its IL-2 and GLP-1 receptor agonist combination.
-
ArticleMeet WRPRFa: the precision peptide changing how we study pain
A newly developed peptide, WRPRFa, is giving scientists a clearer view of how the acid-sensing ion channel (ASIC3) drives pain signalling.
-
ReportLab Automation: Where Discovery Scales
Automation now plays a central role in discovery. From self-driving laboratories to real-time bioprocessing, this report explores how data-driven systems improve reproducibility, speed decisions and make scale achievable across research and development.
-
ArticleCD24 emerges as the next macrophage checkpoint
With CD47 therapies constrained by safety, attention is turning to CD24 as a macrophage checkpoint target. Pheast’s PHST001 has now entered the clinic.
-
ArticleWhat’s changing in cancer drug discovery – and why it matters now
Take part in a live Q&A with oncology experts as they explore the scientific advances driving cancer drug discovery.
-
ArticleWhen chemistry corrects biology: the deuterated return of a MET inhibitor
A promising MET inhibitor failed in the clinic due to human-specific metabolism. Now its deuterated analogue, DO-2, is showing that a simple isotope swap might overcome the problem.
-
Article
From wild fungi to faster drug discovery
Nature’s pharmacy has yielded half of today’s medicines, yet most of its potential remains untapped. AI is now changing how quickly new therapies can be found.
-
ArticleFrom war rooms to launch rooms: how AI is changing the game
Within3’s Jason Smith explores how artificial intelligence is breathing new life into next-generation launch situation rooms; delivering actionable insights for pharmaceutical companies.
-
ArticleThe predictive validity crisis: Pharma’s productivity paradox – Part II
Part II shows that the predictive validity crisis can be solved by rethinking how the industry chooses models, measures outcomes and integrates systems. Success stories from Vertex, Regeneron and AstraZeneca illustrate how aligning biology, measurement and strategy can reverse decades of declining productivity.
-
ArticleHow real-world data is accelerating drug discovery
Vish Srivastava considers the benefits of expanding the role of real-world data in drug discovery to provide improved therapies, faster and with greater success.
-
ArticleBuilding reliable organoid models for human-relevant drug discovery
Organoids are changing the landscape of biomedical research, with automation and AI driving new levels of consistency, scalability and human relevance. Aaron Risinger of Molecular Devices discusses how these technologies are advancing precision medicine – and the challenges that remain.
-
ArticleSPNS1 mutations reveal new lysosomal lipid recycling pathway
Scientists have linked rare mutations in SPNS1 to a previously unknown lipid recycling pathway in lysosomes, revealing how faulty fat processing can trigger muscle and liver disease.
-
ArticleThe predictive validity crisis: Pharma’s productivity paradox – Part I
Drug discovery now costs 100 times more per FDA-approved drug than in 1950, despite vast advances in biology and computing. The core problem is the collapse of predictive validity in preclinical models, which sits at the heart of pharma’s productivity paradox.