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News
Reducing drug development failures with human-relevant models and AI
3+ hour, 18+ min ago (852+ words) Professor Joseph C. Wu of Stanford University explains how stem cells, human-relevant models and AI are helping researchers predict which drug candidates are most likely to succeed before clinical trials. Researchers now have access to technologies that were unimaginable mere decades…...
AI identifies experimental drug targeting undruggable cancer protein
1+ hour, 20+ min ago (367+ words) A preclinical study published ha demonstrated how AI-assisted screening can unlock challenging cancer targets, with Mayo Clinic researchers identifying a GIPC1 inhibitor that slows tumour growth and potentiates gemcitabine activity in pancreatic cancer models. Researchers at Mayo Clinic have used artificial…...
Making historical toxicology data work harder in safety assessment
2+ week, 5+ day ago (1098+ words) Drug developers have generated decades of toxicology data and insights, but much of it remains underused. Laura Lotfi of Charles River Laboratories discusses how Virtual Control Groups and AI could help put that information to work. Safety assessment is a…...
AI-designed miniproteins target GPCRs in drug discovery
2+ mon, 19+ hour ago (712+ words) 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…...
Parse Biosciences and bit.bio map transcription factor-driven cell identity
2+ mon, 1+ week ago (465+ words) Parse Biosciences and bit.bio have announced an alliance to create a comprehensive map of transcription factor-driven cell identity, combining single cell sequencing with large-scale causal transcriptomics. Parse Biosciences and bit.bio have announced a new alliance aimed at creating…...
AI platform identifies novel gp130 inhibitor for colorectal cancer
2+ mon, 2+ week ago (537+ words) An international research team has deployed a two-stage machine learning system to overcome data limitations in targeting glycoprotein 130, achieving 56 percent tumour growth inhibition in xenograft models with structurally optimised indolopyridine derivatives. The international study, led by Professor Wenying Yu and…...
New framework evaluates AI reliability in immune system prediction
3+ mon, 4+ day ago (581+ words) A new University of South Florida study examines how AI models predict immune system responses to antigens, offering a framework to evaluate computational tools used in immunotherapy and vaccine development. Artificial intelligence is now a huge tool for scientists in…...
AAX Biotech and evitria partner on antibody development
3+ mon, 1+ week ago (348+ words) Biotechnology company AAX Biotech has announced a new partnership with evitria AG to strengthen their early-stage antibody development. AAX Biotech, known for developing technologies for antibody-based therapies, will collaborate with evitria, a specialist provider of antibody engineering and expression services,…...
AI system detects pain in laboratory mice through facial analysis
3+ mon, 1+ week ago (606+ words) An automated imaging system developed at ETH Zurich uses AI to detect pain in laboratory mice through facial expression analysis, offering standardised assessment that reduces observer bias and animal stress. A white plastic box with an orange floor may not…...
10x Genomics launches Atera whole-transcriptome spatial biology platform
3+ mon, 2+ week ago (361+ words) 10x Genomics has announced the launch of Atera, a new in situ spatial biology platform designed to deliver whole-transcriptome spatial analysis with single-cell sensitivity at unprecedented scale. The company said the platform has been engineered to enable researchers to study gene…...