Tools and techniques – Page 9
-
ArticleTackling complex manufacturing challenges in modern drug development
Chief Scientific Officer at Solvias reveals how CROs are overcoming manufacturing challenges and harnessing AI to fast-track the development of groundbreaking cell and gene therapies.
-
ArticleHow AI and LLMs are transforming drug discovery: part 2
As AI reshapes scientific work, two founders debate how best to build tools scientists can trust — should we embed expertise into the model or the team? From agent-powered labs to hypothesis-generating machines, the future of drug discovery is being reimagined right now.
-
ArticlePOLB 001: tackling cytokine storms before they start
Cytokine release syndrome (CRS) is a major barrier in cancer immunotherapy - but what if we could prevent it before it begins? Dr Liam Tremble, Principal Scientist at Poolbeg Pharma, discusses how POLB 001, an oral anti-inflammatory candidate, could offer a new way forward.
-
ArticleTransforming biotherapeutics delivery for local communities
Vitalant is transforming the path from preclinical drug discovery to patient care by enabling access to cutting-edge cell and gene therapies. With decades of expertise and a nationwide network, find out how they bridge the gap between innovative treatments and local communities, ensuring life-changing therapies reach patients efficiently.
-
ArticleAI at the forefront of age-related disease treatment
The body undergoes changes with age that can lead to conditions like sarcopenia and osteoarthritis, burdening individuals and healthcare systems. Find out how Rejuvenate Biomed uses AI to decode ageing biology and develop combination therapies targeting the root causes of age-related diseases, offering hope for better treatments and quality of ...
-
ArticleHow AI and LLMs are transforming drug discovery: part 1
AI is reshaping drug discovery – but not without resistance. In this two-part conversation, André França and Eli Pollock share honest insights about the real barriers to AI adoption in life sciences and how embedding domain expertise into AI workflows might be the key to unlocking its full potential.
-
ArticleCracking the code to scalable cell and gene therapy
Cell and gene therapy is rapidly transforming the treatment of complex diseases, yet scaling production efficiently remains a challenge. Dr Tia Harmon from PHC Corporation of North America explores the innovations that are optimising cell expansion to enhance the discovery of advanced therapies.
-
ArticleAllele-selective gene editing: a breakthrough in Huntington's disease treatment
Huntington's disease remains a major challenge, but allele-selective gene editing offers new hope. By targeting only the mutant gene, this approach could provide a one-time, durable treatment. Life Edit’s Dr Amy Pooler reveals how this innovative therapy could reshape HD treatment.
-
ArticleOptimising analytical strategies for ADC development
Antibody-drug conjugates (ADCs) are transforming cancer therapy by enabling targeted drug delivery with minimised side effects, but their complex structure presents unique challenges in bioanalysis. This article explores cutting-edge strategies for optimising ADC evaluation, from quantifying drug-to-antibody ratios (DAR) to overcoming hurdles like payload interference and stability.
-
ArticleAACR 2025: translating research into real-world impact
From first-in-human trial results to emerging AI tools and patient-focused innovations, AACR 2025 offered a clear snapshot of where cancer research is heading. Drug Target Review was on the ground in Chicago to explore the clinical data, technologies, and conversations shaping cancer drug development.
-
ArticleBuilding the requisite clinical development infrastructure for medical innovation to thrive
Outdated clinical development systems are slowing breakthroughs like gene therapies and precision medicine. This article explores how a flexible, on-demand approach can accelerate drug development and bring innovations to patients faster.
-
ArticleUsing knowledge graphs in drug discovery (Part 2): how they’re shaping scientific progress
In this second interview of the series, Andreas Kolleger, Head of GenAI Innovation at Neo4j, discusses how knowledge graphs and AI are transforming scientific discovery and improving life sciences workflows.
-
ArticleAI in drug discovery: faster, smarter, better
Claudia Zylberberg, Chair of Kosten Digital, reveals how AI is revolutionising cell and gene therapy, making drug discovery faster and more cost-effective.
-
ReportBeyond the Lab: Clinical Trials
Explore how artificial intelligence (AI), biomarkers, and innovative trial technologies are creating a more efficient, data-driven future for drug discovery. From better patient selection to smarter trial design, see how clinical research is evolving to deliver new therapies faster.
-
ArticleSynthetic promoters enhance gene therapy precision
Discover how Chromatin Bioscience’s synthetic promoters are transforming gene therapy by enhancing precision, boosting safety and improving manufacturing efficiency.
-
ArticleDriving diversity and leadership in the biotech industry
Judy Ashworth, CMO of Novadip Biosciences, shares her journey in advancing treatments for rare paediatric conditions and championing diversity in STEM.
-
ArticleBuilding better drugs: how 3D models are shaping pre-clinical development
Three-dimensional (3D) models are reshaping pre-clinical drug development by providing more accurate insights into drug safety and efficacy. Explore how these advanced in vitro systems help improve predictions and reduce the risk of failure in early-stage drug discovery.
-
ArticleNext-gen ADCs: Tubulis sets new standard in cancer treatment
Tubulis, led by CEO Dominik Schumacher, is advancing cancer treatment through next-generation antibody-drug conjugates (ADCs) designed to target solid tumours more effectively. Find out how the company is rapidly progressing its ADC pipeline to offer more precise and lasting treatment options for patients.
-
ArticleAI-powered imaging for faster lung disease treatment
Deep learning is transforming lung disease treatment by enabling earlier diagnosis, precise monitoring and more efficient clinical trials. This article explores how AI-driven imaging is accelerating drug development and improving patient outcomes.
-
ArticleUsing knowledge graphs in drug discovery (Part 1): how they link to large language models
In this first interview of a two-part series, Andreas Kolleger explores the convergence of knowledge graphs and large language models. As the head of GenAI innovation at Neo4j, Andreas brings a unique cross-industry perspective on how these technologies can enhance life sciences workflows.


