All Artificial Intelligence (AI) articles – Page 3
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ArticleInternational Women’s Day: digital pathology in early drug discovery
For International Women’s Day, Dr Amanda Hemmerich, Global Director of Digital Pathology & Innovation at IQVIA Laboratories, describes how digital pathology is being applied in early drug development and what it takes to build credibility in a multidisciplinary technical field.
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NewsNew AI foundation model aims to speed up drug discovery
Insilico Medicine and Liquid AI have partnered to develop a lightweight artificial intelligence foundation model designed to support multiple stages of drug discovery.
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ArticleWhy most labs are not ready for AI: Cenevo shares what must change
Most labs want to use AI, but few have the digital foundations to support it. Cenevo’s leaders explain why progress is slow and what laboratories must fix before AI can deliver real value.
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ArticleDrug discovery integration takes centre stage at SLAS Boston 2026
Drug discovery has no shortage of powerful technologies, but the challenge now is making them work together. At SLAS Boston 2026, researchers and technology developers revealed how laboratories are connecting the entire experimental pipeline.
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ArticleMaking immunotherapy safer and more accessible through continuous digital monitoring
Immunotherapies such as CAR-T are extending survival, yet reliance on inpatient monitoring for cytokine release syndrome continues to restrict access. This article explores how continuous digital monitoring and AI-driven analysis could enable safer outpatient delivery and support more scalable immunotherapy adoption.
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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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ArticleVibe coding 101 for drug discovery scientists
Find out how AI-assisted development is democratising software creation in life sciences.
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NewsInsilico and MSK partner on AI research for gastroesophageal cancer
A new research collaboration between Insilico Medicine and Memorial Sloan Kettering Cancer Center aims to harness generative AI technology to identify novel therapeutic targets for gastroesophageal cancers.
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NewsNew OC-PAM AI tool tracks cancer organoid drug response
Scientists have developed an AI-enhanced imaging platform that enables non-invasive, label-free and longitudinal monitoring of cancer organoids and spheroids.
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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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NewsTangible Scientific launches platform to streamline compound logistics
A new US-based company has launched with the aim of tackling one of the most persistent operational challenges in modern drug discovery – the slow and fragmented handling of physical compounds.
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NewsNew paper warns against phasing out animal testing too quickly
A push by the US Food and Drug Administration to phase out animal testing in drug development could improve efficiency and reduce animal suffering, but experts warn that moving too quickly may pose risks to patient safety.
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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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NewsNew generative AI method could make drug discovery faster
A newly developed AI-driven technique could dramatically speed up the discovery of drugs and advanced materials, enabling scientists to design chemically valid, property-targeted molecules in minutes rather than years.
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NewsHow ageing cells affect brain development and neurodegeneration
New research has revealed how cellular senescence – the process in which ageing cells change function – shapes human brain structure from development to old age, improving our understanding of brain ageing and neurodegenerative diseases.
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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.