All Lab Tools & Automation articles – Page 3
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ArticleConsumables 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.
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ArticleBeyond the hype: a veteran’s honest assessment of AI in drug discovery - Part 1
An interview with Thibault Géoui reveals why this technology wave might finally break through pharma’s productivity crisis – and why it will take longer than the optimists claim.
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ArticleNGS is evolving: collaboration and tech lead the way
Next-generation sequencing (NGS) is advancing fast – and it’s not happening in isolation. Strategic partnerships and automation are streamlining workflows and reshaping what's possible in genomics research.
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ArticleSmart automation for every lab, not just big pharma
Drug Target Review spoke with Giancarlo Basile at SLAS Europe 2025 about MGI’s bold shift from sequencing specialist to automation partner – helping research companies of all sizes achieve accuracy, speed and reproducibility.
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ArticleSolving the disconnect between lab and data scientists: part 2
As the lab–data science divide continues, Ian Kerman looks ahead to a future of deeper collaboration – one where shared skills, smarter tools and a shift in mindset could finally break down the barriers. In this second interview, he shares his vision, practical ideas and advice for the next generation ...
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ArticleRethinking antibody discovery in the age of automation
James Atwood, COO of Opentrons, shares how accessible lab automation is helping research teams tackle tighter budgets, faster timelines and complex discovery workflows.
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ArticleSolving the disconnect between lab and data scientists: part 1
Lab scientists and data scientists often speak different languages and that miscommunication can slow down important research. In this interview, Ian Kerman shares how his team is working to break down those walls and spark better collaboration.
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ArticleWhat SLAS 2025 really told us about drug discovery
Forget the buzzwords - SLAS 2025 showed what’s genuinely driving progress in drug discovery: usable AI, collaborative platforms and tools that solve real problems.
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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.
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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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WhitepaperApp Note: High-Throughput Single-Cell Genome Profiling
See how the new Shasta™ Single Cell System enabled high-throughput single-cell DNA-seq library preparation to detect tumor-driving mutations.
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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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WebinarSmarter labs, faster results: The power of automation in drug discovery
Manual processes are slowing down your lab. AI and automation can change that, if you know how to use them. In this free webinar, Dr Raminderpal Singh breaks down the technologies, data strategies and tools transforming early drug discovery, so you can stop guessing and start innovating.
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ArticleLarge language models: now more affordable and reliable than ever
In this article, Dr Raminderpal Singh explores the transformative impact of the Deepseek R1 open-source large language model on drug discovery. Its potential offers exciting opportunities for both scientists and software developers, marking a significant advancement for the life sciences community.
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WebinarOvercoming critical challenges in AI-driven drug discovery
The increasing use of AI in the life science field marks a pivotal point in history. Although AI is now an indispensable tool in drug discovery, promising to save vast amounts of time and money, there are still many hurdles scientists encounter. This webinar will explore these challenges and offer ...
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WebinarUnprecedented fragment-based screening using Spectral Shift for GPCRs
In this webinar, we will present how challenging recombinant protein such as GPCRs are produced and characterised and how biophysics participates in GPCRs hit finding and hit confirmation.
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WhitepaperPoster: Assays for DDX3, DDX5, DDX17, RIG-I, and MDA5
A panel of HTS assays was developed using the Transcreener platform to accelerate the development of selective helicase inhibitors.
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WhitepaperPoster: Assays for PRMT5, MLL4, METTL3/14, & NSP14
AptaFluor SAH: A Homogenous, Universal Assay for Histone, RNA, & DNA Methyltransferases. Case Study for PRMT5, MLL4, METTL3/14, & NSP14
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WhitepaperConsistent, functional lower motor neurons from iPSCs
How pure consistent and functional lower motor neurons can be precision reprogrammed from iPSCs for motor neuron disease research and drug discovery.