Cancer & Disease Research
Together, machine learning and tumor DNA provide new tools for colorectal cancer patients
Researchers utilize a new machine learning platform to identify patients with colorectal cancers and predict their disease severity and survival. The study, published in Science Translational Medicine on January 1, involves samples from over a thousand patients.  Discuss
Scientists validate large-scale CRISPR-Cas9 screens for cancer models
Researchers from the Wellcome Sanger Institute and the Broad Institute of MIT and Harvard, published results of a study in Nature Communications on December 20, which compares consistency among the two largest genetic screen databases of cancer cells lines. The combined data set will help speed the discovery and development of new cancer therapies.  Discuss
New microscopy technique helps scientists understand cancer growth and spread
Researchers from Duke Cancer Institute have developed a new technique to observe stem cell mutations occurring in colon cancer.  Discuss
New model uses bioinformatics to identify aggressive breast cancers
Researchers from the University of Bonn propose a new method to determine the prognosis of disease using the patients' tumor tissue. The results were published in Cell Reports on October 29.  Discuss
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Conferences
Society for Laboratory Automation and Screening (SLAS) 2020
January 25-29
San Diego, California United States
American Society for Microbiology (ASM) Biothreats
January 28-30
Arlington, Virginia United States
Festival of Genomics 2020
January 29-30
London, Greater London United Kingdom
Medlab Middle East
February 3-6
Dubai, Dubai United Arab Emirates
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