All Artificial Intelligence & Computational Tools articles – Page 2
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NewsNew beta lab platform to streamline early-stage research
UK life science software company Lab Thread has launched the beta of its unified lab platform, designed to streamline research workflows.
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NewsLife sciences face ‘scientific content crisis’ in AI adoption
A new survey by the Pistoia Alliance reveals a growing ‘scientific content crisis’ in life sciences, showing that incomplete data and weak governance are limiting the accuracy and adoption of AI in research and development.
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OpinionMaking science run at the speed of thought: the reality of AI in drug discovery – Part 2
Can automation and AI finally make science run at the speed of thought? Eric Ma shares how disciplined systems, not new models, will drive the next wave of discovery.
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ArticleTransforming central labs with automation and AI: setting new standards for modern trials
Demands on central laboratories are consistently increasing, heightening the challenge to deliver operational excellence and the highest standard of scientific integrity with both speed and agility. ICON Laboratories is transforming the way we leverage data and intelligent operational models to meet evolving trial needs.
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NewsScripta Therapeutics raises $12m to advance neurodegenerative research
Oxford-based techbio start-up Scripta Therapeutics has announced a $12 million seed funding round helping them to reshape conventional drug discovery.
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ArticleDeep data not big data
Bigger isn’t always better. In drug discovery, Dr Michael Ritchie argues that the future belongs not to those with the most data, but to those who understand its biological depth.
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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.
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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.
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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.
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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.
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ArticleChemistry-aware AI offers new routes in small molecule design
AI has advanced molecule design, yet synthetic feasibility remains a bottleneck. Chemistry-first approaches offer a practical way forward.
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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.
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ArticleMaking sense of AI: bias, trust and transparency in pharma R&D
AI is increasingly used in drug discovery, but hidden bias and ‘black box’ models threaten trust and transparency. This article explores how explainable AI can turn opaque predictions into clear, accountable insights.
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ArticleAnimal-free drug discovery is closer with QSP
Quantitative Systems Pharmacology (QSP) is fast becoming a standard tool in drug development, offering a human-relevant way to predict drug effects before the clinic. Dr Josh Apgar of Certara explains how it is helping to cut reliance on animal testing and speed discovery.
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NewsNon-invasive method images brain development in juvenile mice
Stanford researchers have developed a non-invasive method to make juvenile mice’s skin transparent, allowing repeated imaging of developing neural circuits. The breakthrough could be used to develop new treatments for neurodevelopmental disorders.
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ArticleBeyond the hype: a veteran’s honest assessment of AI in drug discovery – Part 3
AI is starting to transform drug discovery, but progress is still slow and big challenges remain. Thibault Géoui explores the gaps, hurdles and breakthroughs needed before it can truly change pharma R&D.
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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 2
Thibault Géoui explains why AI could finally help pharma overcome its productivity crisis and why the payoff won’t come as quickly as the optimists claim.
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ArticleHow AI is quietly changing drug manufacturability
AI is moving beyond drug design to answer a critical question: can a promising compound actually be manufactured at scale? By predicting synthetic feasibility early, machine learning tools are helping drug developers avoid costly failures, streamline R&D and design molecules that are both effective and practical to produce.
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ArticleWhy smarter financial planning could be key to clinical trial success
Effective financial management is vital for clinical trial success, yet many preclinical and clinical companies face inefficiencies due to outdated systems. Jennifer Kyle, CEO of Condor Software, explains how advanced financial platforms can streamline processes, improve forecasting and ensure better resource allocation throughout drug development.
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