Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how unicellular organisms respond to stress, focusing on cell-to-cell differences.

H-funded project will build a decision-making tool to help drugmakers and regulators predict treatments likely to work best ...

SingleCell Biotechnology, a biotechnology company developing technologies to measure tumor cell behavior at single-cell ...

Canadians swallow millions of pills every day to treat common health issues like high blood pressure, high cholesterol and ...

Yet within hours of its premiere, the quiet Korean drama had climbed ratings charts and reignited a conversation that extends ...

Materials research suffers from trial-and-error synthesis and fabrication, while the resulting numerical datasets fail to ...

By laying the genetic risk signals over their new cell atlas, the team found the answers. They discovered that preeclampsia ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Living brain cells grown in a lab have been wired into computers to perform machine learning tasks, pointing toward a future ...

AI systems don’t just evaluate content. They choose between entities. Learn the nine-cell model that explains how selection ...

A skin cancer diagnosis can seem to arrive out of nowhere. But buried in years of health records, prescription histories, and ...

New spatial transcriptomics approach combined with machine learning maps gene expression across whole mouse body sections, ...