2026: 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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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.
A new study suggests that a low-cost form of non-invasive prenatal screening could help clinicians identify pregnant women at highest risk of transmitting cytomegalovirus to their babies.
Researchers have discovered how renal medullary carcinoma cells evade immunotherapy by mimicking immune cells, driving rapid tumour progression.
New research has shown that the enzyme OTULIN regulates tau at the gene-expression level rather than through protein degradation.
Cellarity has published a new paper in detailing an AI-powered framework that integrates single-cell transcriptomics to make drug discovery faster and more successful.
Researchers have refined a cutting-edge DNA sequencing tool that reveals how mutations accumulate in healthy tissues as we age, offering insights into the earliest stages of cancer development.
Researchers have developed a new blood test method, CloneSeq-SV, that tracks treatment-resistant ovarian cancer cells over time. The approach could help predict recurrence and guide targeted therapies.
A new review has highlighted how three-dimensional organoid models are transforming cancer research by replicating the complexity of human tumours – bringing precision oncology closer to the clinic.
Scientists have mapped the diversity of fibroblasts and discovered how ‘rogue’ fibroblasts drive multiple diseases, revealing drug targets that could transform treatments across the body.
Researchers have discovered that Alzheimer’s disease is driven by a deeper loss of gene regulation in brain cells – offering potential new targets for future therapies.
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.
Single-cell and spatial technologies are giving researchers an unprecedented view of how brain diseases like Alzheimer’s really work. The result? Faster discovery, clearer targets and a new path towards more effective treatments.
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.
James Atwood, COO of Opentrons, shares how accessible lab automation is helping research teams tackle tighter budgets, faster timelines and complex discovery workflows.
Chief Scientific Officer at Solvias reveals how CROs are overcoming manufacturing challenges and harnessing AI to fast-track the development of groundbreaking cell and gene therapies.