Anti-linker antibodies: a universal key for CAR-T detection
Every new CAR-T needs a new detection tool – until now. Anti-linker antibodies could change how researchers develop and track these therapies.
List view / Grid view
In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.
Every new CAR-T needs a new detection tool – until now. Anti-linker antibodies could change how researchers develop and track these therapies.
A first-in-class obesity drug, presented at the European Association for the Study of Diabetes meeting in Vienna, aims to reprogramme metabolism rather than suppress appetite – offering the potential for long-lasting weight loss without regain.
Virginia Tech computer scientists have created a new AI tool, ProRNA3D-single, that can generate 3D models of how viral RNA binds to human proteins – a development that could speed up drug discovery.
Researchers at Sutter’s California Pacific Medical Center have discovered a potential new treatment strategy for melanoma patients who stop responding to immunotherapy.
Researchers at the University of Birmingham have developed a single-cell technique to track boron inside live tumour cells – making Boron Neutron Capture Therapy more effective in treating head and neck cancers.
Researchers have developed the first high-throughput tool to rapidly profile RNA modifications – a breakthrough that could lead to more precise treatments for cancer and antibiotic-resistant infections.
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.
Researchers have identified idiopathic pulmonary fibrosis (IPF) as a powerful model for exploring treatments that target the biology of ageing.
By combining human tissue models with explainable AI, researchers can analyse complex patient data to identify which treatments work best for which patients. First applied to inflammatory bowel disease, this approach could improve clinical trial success rates across many diseases.
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.
3 September 2025 | By Eurofins DiscoverX
Join this webinar to learn how WRPRFa, a novel peptide tool selective for ASIC3, advances pain research and supports drug discovery in peripheral nociceptors.
Researchers at Mount Sinai have identified three antibodies that target mpox and prevent severe disease in vivo. The work positions A35-specific antibodies as candidates for therapeutic development.
New research from Gladstone Institutes shows that chronic overactivation of dopamine-producing neurons can directly trigger their death, offering new insights into why these cells deteriorate in Parkinson’s disease which could lead to potential therapies to slow its progression.
Scientists at Tufts University have developed an AI tool that demonstrates how tuberculosis drugs kill bacteria – an advancement that could speed-up the discovery of shorter, more effective treatments.
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.