Technology – Page 8
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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.
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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.
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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.
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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.
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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Outdated clinical development systems are slowing breakthroughs like gene therapies and precision medicine.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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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ArticleEarly evidence and emerging trends: How AI is shaping drug discovery and clinical development
Drug development is plagued by high costs, long timelines and low success rates, but what if AI could change that? Read on to discover real-world examples and explore the transformative potential of AI in drug development.
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ArticleGylden’s gold platform trains T cells to kill viruses
What if vaccines could train your immune system to eliminate infections at the source? Find out how Gylden Pharma’s gold nanoparticle platform delivers targeted T cell immunity - providing a precise and durable defence against complex infectious diseases.
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ArticleThe rising impact of biomarkers in early clinical development
Dr Cyril Clarke at ICON Biotech reveals how biomarkers are transforming early-phase clinical trials by offering valuable insights into the safety and efficacy of novel therapies.
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ArticleGene silencing: a step forward for rare disease therapy
Gene silencing offers a promising approach to treating rare neurological diseases like H-ABC. With clinical trials on the horizon, find out how targeted therapies could bring real hope to patients and families.
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ArticleABB’s robotics ecosystem: advancing lab efficiency in drug discovery
In this interview with Jose-Manuel Collados, learn how ABB's strategic partnerships and automation technology are improving lab efficiency, enhancing precision and ultimately speeding up the development of life-saving treatments.
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ArticleNew advances in hormone replacement therapy set to transform care
Hormone replacement therapy has long been used to treat low hormone levels, but existing delivery methods struggle with poor adherence and inconsistent hormone delivery. Lisa Stehno-Bittel of Likarda and Charles Virden of VitalTE discuss a novel approach using hormone-filled microbeads in hydrogels for steady, extended release after monthly self-injections.
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ArticleWhy DNA Damage Response deserves renewed focus in cancer therapy
As cancer therapies evolve, a critical opportunity is emerging in the form of DNA Damage Response (DDR) research. With breakthroughs in genomics, drug delivery and AI, DDR pathways are set to overcome resistance and alter treatment strategies. Find out why now is the perfect moment to refocus on DDR, and ...
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ArticleThe evolution of AI in drug discovery: learning from history's mistakes (Part 2)
In this second part of a two-part series, we continue Sujeegar Jeevanandam’s exploration of the future of AI in drug discovery. We share his vision for transformative AI applications, such as simulating human pharmacokinetics and pharmacodynamics, and offer strategic recommendations for biotechs looking to adopt AI.