Tools and techniques – Page 2
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ArticleAdvancing drug discovery with reproducible, animal-free 3D systems
Lukas Gaats and his team at mo:re are using automation to bring consistency to 3D cell culture and move drug discovery beyond animal models. Read on to find out how.
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ArticleThe map and compass: integrating BD&L early to de-risk drug discovery
In drug discovery, great science alone is not enough because commercial viability ultimately decides which programmes survive and attract partners. This Q&A explores how integrating Business Development and Licensing (BD&L) from the earliest stages can guide R&D strategy, sharpen decisions and de-risk the path to market.
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ArticleReplacing animals in science: what the UK’s new strategy means
The UK has set out a strategy to replace animal testing, but delivering change will depend as much on regulation as on technology. Dr Emma Grange, Director of Science and Regulatory Affairs at Cruelty Free International, examines what the policy signals for research, drug discovery and safety assessment.
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ArticleEngineering the next generation of T-cell engagers
T-cell engagers are a branch of immunotherapy that has undergone considerable change since their clinical inception. Andrew J Souers, VP, Oncology Discovery Research at AbbVie, elucidates the current understanding of their biology and expanding focus areas of application.
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OpinionAI in drug discovery: predictions for 2026
As AI drug discovery enters 2026, the industry faces a pivotal year of clinical tests, regulatory clarity, and market consolidation. Here, Dr Raminderpal Singh examines where AI is delivering measurable gains in early discovery, where hype outpaces reality and why Phase III results will determine whether the technology can truly ...
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ArticleAI begins to enter Alzheimer’s drug discovery pipelines
Artificial intelligence is increasingly used to analyse large, multimodal Alzheimer’s datasets and inform target discovery and trial design. A new JPAD special issue highlights how these methods are moving from experimentation towards practical application in drug discovery.
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ArticleDrug development in 2026: NAMs, safety and regulatory changes
2026 is set to be a pivotal year for drug discovery, with advances in NAMs and evolving regulatory approaches promising faster, safer early drug development and accelerated delivery of therapies for patients with rare or unmet medical needs.
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ArticleTargeting inflammatory cell death to tackle relapse in AML
Relapse in acute myeloid leukaemia is driven by malignant cells that resist standard treatment. A synthetic cytokine approach in development targets inflammatory cell death pathways to suppress leukaemic cells while preserving healthy haematopoiesis.
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ArticleDisrupting the biologics market through innovations in macrocycle R&D
New macrocycle technologies are turning a once difficult drug class into a scalable engine for developing potent oral therapies.
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ArticleRethinking drug discovery through transcription factor biology
Complex diseases rarely have single targets. By focusing on transcription factor activity and disease signatures, Scripta Therapeutics is taking a different approach to identifying the drivers of pathology.
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Article2026: the year AI stops being optional in drug discovery
AI is moving from a supporting role into the core of drug discovery. By 2026, it is expected to shape how targets are chosen, how biology is analysed and how development decisions are made.
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ArticleAI steps into drug safety: predicting liver injury earlier than ever before
Drug-induced liver injury remains one of drug development’s most costly pitfalls. Now, AI and transcriptomics may offer a way to spot risks long before they reach patients.
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ArticleWhy tau still lacks treatments and how funders are responding
Tau drives PSP, CBD and other neurodegenerative diseases, yet there are still no disease-modifying treatments. Here, Dr Glenn Harris from the Rainwater Charitable Foundation shares how a coordinated funding effort is supporting basic research to understand tau mechanisms, improve detection and progress therapeutic development.
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ArticleQuality over quantity: drug discovery automation in 2026
Automation in 2026 is no longer judged by the volume of experiments, but by the reliability of the evidence they produce. As complex biology and tighter budgets collide, industry leaders are pivoting toward automated workflows to secure the data integrity required for confident, early-stage decision-making.
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ArticleFertility beyond IVF: therapeutic advances in reproductive biotech
Procedural advances in IVF are reaching their biological limits. Reproductive biotech is now moving upstream, developing first in class therapeutics that target meiosis, gamete quality and implantation biology as druggable mechanisms in early discovery.
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ArticleAgentic AI: teaching machines to think like scientists
What happens when AI stops guessing and starts reasoning? Agentic AI is bringing scientific logic into the heart of drug discovery.
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ArticleThe data fragmentation problem holding drug discovery back
The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of Product at Certara, explains how better infrastructure and AI can help teams work faster and make decisions with more confidence.
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ArticlePeptides in practice: what it takes to advance these therapies to clinic
Peptide therapeutics are emerging as a powerful class of medicines capable of targeting diseases that challenge traditional modalities. This article reveals their rising clinical impact and the key development, safety and translational challenges that must be addressed to bring them successfully to patients.
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ArticleWhy patient-derived biology matters for ADC discovery
What can we learn from tumours after they stop responding to treatment? By studying patient tissue directly, researchers are finding new ADC targets that conventional screening often misses.
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ArticleBuilding better biologics and a stronger future for women in STEM
Great biologics don’t happen by chance, and neither do great STEM careers. Dr Lidia Serina shares the lessons behind both.