From DNA to precision medicine, researchers discuss breakthroughs in cancer research
From the use of novel technologies such as machine learning and CRISPR, to gaining a deeper understanding of the genetic and molecular drivers of cancer, researchers from around the globe shared their progress with the cancer research community on June 22 at the opening plenary session of the American Association for Cancer Research 2020 virtual annual meeting II. Read More
Proteomics provides insights into SARS-CoV-2 infection, potential therapies
Scientists tested a series of compounds for blocking the replication of SARS-CoV-2 using a novel proteomics approach. The method, which helped identify small-molecule drugs that may be effective at treating COVID-19 patients, was published in Nature on May 14. Read More
Bio-Rad acquires single-cell analysis company
Bio-Rad Laboratories has acquired Celsee, a company that offers instruments and consumables for single-cell analysis. Read More
Communication of cancer cells analyzed with organoids and novel cytometry
A new technique using organoids, self-organizing 3D tissue models, can decipher how individual cancer cells communicate with each other and the unique signals they create. This research, published in Nature Methods on February 17, could be used to help develop personalized cancer treatments in the future. Read More
A new technique using organoids, self-organizing 3D tissue models, can decipher how individual cancer cells communicate with each other and the unique signals they create. This research, published in Nature Methods on February 17, could be used to help develop personalized cancer treatments in the future. Read More
Data Science Vital to Large-Scale Cellular Studies
Data science as a discipline has become a central aspect of many commercial endeavors. A large range of distinct applications have adopted its approaches and techniques. Despite the major differences in many of these applications, some of the techniques can be transferred from old and established data-driven fields to new, completely separate data-intensive areas. For example, certain image analysis algorithms from astronomy can be applied in fields involving microscopy. Read More
Data science as a discipline has become a central aspect of many commercial endeavors. A large range of distinct applications have adopted its approaches and techniques. Despite the major differences in many of these applications, some of the techniques can be transferred from old and established data-driven fields to new, completely separate data-intensive areas. For example, certain image analysis algorithms from astronomy can be applied in fields involving microscopy. Read More
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