RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
How a team at UC Berkeley devised a multi-sensor smell system and combined it with machine learning to create a more ...
Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Stream computing systems are critical platforms for real-time processing and analysis of data streams, widely applied in ...
Praise Ifenna Okwuba discusses the future of AI-powered diagnostics in healthcare, emphasizing improved accuracy and patient ...
Raman spectroscopy enables real-time bioreactor monitoring of glucose and lactate without breaching the sterile boundary.
AI agents are now taking over repetitive work, identifying issues humans may miss, and helping teams maintain testing speed ...
A new multiplex immunofluorescence workflow using standard laboratory equipment and open-source software enables detailed spatial analysis of liver tissue, organoids and organ-on-a-chip models, ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
The Natural Traces Consortium is transforming forensic science by expanding the range of evidence sources to include ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results