Scientists at CZ Biohub San Francisco developed Ultrack and inTRACKtive to track cells in real-time videos of embryos. The tools simplify the segmentation process, reducing errors and computation time, making it easier to study development, cancer, and immune system diseases.
Researchers at Chan Zuckerberg Biohub San Francisco and Stanford University have developed an AI-driven Virtual Lab that can tackle sophisticated scientific problems. The team of AI agents, each equipped with varied expertise, can formulate, refine, and carry out complex research strategies, producing results that can be validated in r...
Researchers have developed a method that precisely defines the locations of proteins within cells, revealing their relationships with one another. The team created a high-resolution map that organizes proteins according to their compartmentalization, providing crucial insights into cellular organization and response to infections.
Joe DeRisi, Chan Zuckerberg Biohub San Francisco President and UC San Francisco Professor, received the Arthur Kornberg and Paul Berg Lifetime Achievement Award in Biomedical Sciences. His work has significantly impacted pathogen discovery, disease tracking, and clinical diagnostics through metagenomic sequencing.
Aspiring physicians from underrepresented groups will receive travel grants and coursework in metagenomic sequencing and genomic epidemiology through new initiatives launched by CZ Biohub SF and The 15 White Coats. The partnership aims to diversify healthcare for marginalized communities.
Researchers have created a comprehensive atlas of zebrafish development, combining time-lapse videos and gene expression data to map the behavior of individual cells. This breakthrough tool offers new insights into how lifeforms develop from single cells to complex organisms.
The Omega tool enables rapid analysis of complex biological images through natural language conversations, prioritizing ease of use and democratizing bioimage analysis. By leveraging large language models, scientists can process and analyze images without extensive programming skills.
Researchers discovered that children with the worst outcomes had significantly fewer microbial species overall, but marked populations of Staphylococcus bacteria and viruses. The study used metagenomic next-generation sequencing to analyze lung fluid samples from 229 pediatric patients, revealing links between microbiome composition an...
Researchers used the sphinx tile to explore geometry and chirality in life, finding unexpected properties related to its chirality. The study reveals superexponential increases in possible layouts as the number of sphinxes grows, with some tilings having nearly 72,000 possibilities.
Researchers found gene signatures associated with head development in juvenile sea stars, but expression of torso and tail genes were largely missing. The study suggests that over evolutionary time, sea stars lost their bodies to become only heads.
Researchers at CZ Biohub SF developed a new diagnostic method for LRTI in children, leveraging machine learning and genomics to identify pathogens with high accuracy. The method uses metagenomic sequencing data to analyze gene expression and microbial abundance, providing a more holistic approach to diagnosing the condition.
Researchers at CZ Biohub SF and UCSF create high-resolution map of human immune response to P. falciparum, revealing why durable malaria vaccines have been hard to come by. The study uses sophisticated method to analyze antibodies' binding patterns to parasite proteins, offering insight into how malaria evades the immune system.
Researchers developed a machine learning-based diagnostic method that combines genomic sequencing and analysis of patients' immune response for remarkable accuracy. The approach identifies and predicts sepsis cases with high accuracy, potentially exceeding current diagnostic capabilities.
A team of Chan Zuckerberg Biohub scientists developed a deep-learning method, dubbed
The Tabula Sapiens Consortium has unveiled a massive digital atlas that maps gene expression in nearly 500,000 cells from 24 human tissues and organs. The atlas provides unprecedented insights into human health and disease, offering new avenues for therapies and treatments.