All Artificial Intelligence (AI) articles
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NewsLabGenius and LG Chem partner on AI-driven cancer antibodies
LabGenius Therapeutics has partnered with LG Chem to develop next-generation multispecific antibodies targeting solid tumours. The collaboration combines AI-driven drug discovery with oncology development expertise to identify therapeutics with improved selectivity and reduced toxicity.
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NewsAI-designed proteins self-assemble into virus-like drug delivery structures
An international collaboration has developed AI-designed protein structures that self-assemble into virus-like nanocages using quasisymmetry principles, offering new possibilities for targeted drug delivery, vaccine development and genetic material transport without relying on modified viral proteins.
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NewsResearchers develop automated DESI-MS platform for faster cancer drug discovery
Scientists at Purdue University have created an automated ultrahigh-throughput platform that integrates chemical synthesis, biological testing and mass spectrometry into a single workflow, potentially reducing the time needed to identify promising cancer drug candidates from weeks to hours.
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NewsAI-powered $6M project targets new Alzheimer’s treatments
A $6 million NIH-funded collaboration between Indiana University School of Medicine and Luddy School of Informatics aims to deploy AI and machine learning to identify promising Alzheimer’s drug candidates, screening billions of compounds to overcome traditional discovery bottlenecks.
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ReportContext is everything: how spatial biology is changing our understanding of disease
Researchers can now analyse individual cells in extraordinary detail, yet understanding disease often requires more than studying cells in isolation. This report explores how spatial biology is revealing aspects of disease biology that cannot be captured through individual cells alone, and what that could mean for biomarker discovery, immunotherapy and drug development.
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NewsAI-designed miniproteins target GPCRs in drug discovery
GPCRs account for a significant proportion of approved drug targets, yet selectively controlling their activity remains a major challenge. Researchers have now used AI-assisted protein design to create miniproteins capable of activating or inhibiting these receptors, providing an alternative strategy for targeting this important class of membrane proteins.
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ArticleAACR 2026 part two: integrating AI, spatial biology and next-gen therapeutics
In part two of our AACR 2026 coverage, industry leaders were focussed on how the field is no longer constrained by data generation or molecular design, but by the challenge of connecting systems, standardising workflows and ensuring biological insights.
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ReportAI in Drug Discovery: Progress, Limits and What Comes Next
AI has attracted enormous investment across drug discovery, but major questions still remain around validation, reproducibility and real-world application. In our latest Beyond the Lab report, experts discuss where the technology is starting to influence discovery workflows – and where limitations continue to slow adoption.
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NewsGene-based CIN score predicts breast cancer survival and immunotherapy response
A 13-gene chromosomal instability scoring system developed by Shanghai researchers correlates with survival outcomes and immunotherapy response in breast cancer patients.
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ArticleFrom chemist to AI agent builder: inside the rise of agentic AI in drug discovery
Dr Raminderpal Singh speaks with Dr Srijit Seal about why specialised AI agents are outperforming general-purpose models in drug discovery and what a new consortium paper shows about their use in practice.
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NewsParse Biosciences and bit.bio map transcription factor-driven cell identity
Parse Biosciences and bit.bio have formed an alliance to map transcription factor-driven cell identity using single cell sequencing and causal transcriptomics.
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ArticleMachine learning identifies biological signals linked to emotional hunger
Researchers at Phenomix Sciences are using machine learning and genetic risk scoring to investigate emotional hunger, an obesity phenotype linked to emotional and reward-driven eating behaviours. Dr Timothy O’Connor discusses how the approach could improve patient stratification, obesity research and treatment selection.
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NewsGinkgo Bioworks launches ADME-One platform for early-stage screening
Ginkgo Bioworks has launched ADME-One, an integrated platform combining high-throughput ADME testing with AI-powered human pharmacokinetic projections.
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NewsAI platform identifies novel gp130 inhibitor for colorectal cancer
An AI-assisted drug discovery platform using transfer learning has identified a promising gp130 inhibitor for colorectal cancer.
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NewsAI identifies 23 antiviral candidates for Bundibugyo Ebola strain
US researchers have deployed artificial intelligence and molecular docking software to identify 23 antiviral compounds with potential activity against Bundibugyo Ebolavirus, as the rare strain continues to spread in the Democratic Republic of Congo with a fatality rate approaching 40 percent.
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ArticleWhy AI models need patient data to deliver in drug discovery
Despite rapid advances in AI, many drug discovery models still struggle to translate computational predictions into clinical outcomes. Thomas Clozel explains how Owkin is training AI on large-scale patient-derived data while integrating experimental and clinical validation directly into model development.
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ArticleTurning GWAS signals into drug targets with scalable CRISPR
Genome-wide association studies have linked thousands of genetic variants to disease, yet most remain disconnected from drug-relevant biology. Neville Sanjana, Professor at New York University and Core Faculty Member at the New York Genome Center, explains how scalable CRISPR screens systematically link noncoding variants to causal genes and therapeutic targets.
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NewsISSCR consortium submits recommendations on NAMs to FDA
The ISSCR Consortium on Advanced Stem Cell-Based Models is calling for greater flexibilty from the FDA to accomodate rapidly changing technologies like stem cell-derived systems, organoids and computational approaches.
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NewsC-Path launches coalition to advance human-relevant drug discovery
The New Approach Methodologies Developer Coalition brings together technology developers, pharmaceutical companies and regulators in a precompetitive initiative to establish qualification standards for complex in vitro models, microphysiological systems and related human-relevant technologies.
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ArticleAACR 2026 part one: AI design, precision biology and the next wave of oncology innovation
At AACR 2026, industry leaders discussed how oncology R&D is moving beyond isolated technological advances towards integrated discovery systems.