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  • The Anti-Microbial Resistance Prediction Challenge - CAMDA@ISMB 15-16 July, 2024, Montreal, Canada

    Try your best & take the next CAMDA challenge: Develop models for predicting antimicrobial resistance to 2 drugs in 8 different bacterial pathogens from the WHO’s Priority Pathogen List!

    Critical Assessment of Massive Data Analysis (CAMDA) runs in collaboration with ISMB, which joins up with ECCB every other year. CAMDA is an established full conference track at ISMB, representing one of its Communities of Special Interests (COSIs). This gives you wide exposure and further opportunities for interaction with colleagues without separate registration fees. You just register with one of multiple options at ISMB, specifying CAMDA as your interest.

    CAMDA focuses on one of the grand challenges of our time, the intelligent exploitation of Big Data in the life sciences. In the post-genomic era, an effective scientific interpretation of large datasets is key to new medical and biological insights from novel high throughput assays and the increasing size of biomedical studies.
    CAMDA puts a spotlight on the successful analysis and integration of the massive data sets now prevalent in the life sciences.

    This year, recognizing the recent events, the scientific committee of CAMDA has set the following​ data contest challenge:​
    • The Anti-Microbial Resistance Prediction Challenge features clinical isolates sequences. Predict resistance genes/markers and identify resistant bacteria!
    • The Gut Microbiome based Health Index Challenge features hundreds of WMS based taxonomic and functional profiles of healthy and unhealthy individuals. Take advantage of the Theater of Activity concept and compete already existing taxonomy based metrics!
    • The Synthetic Clinical Health Records Challenge provides a rich set of highly realistic Electronic Health Records (EHR) tracing the diagnosis trajectories of diabetic patients, created with dual-adversarial auto-encoders trained on data from 1.2 million real patients in the Population Health Database of the Andalusian Ministry of Health. Predict relevant diabetes endpoints like blindness or cardiopathy from past diagnosis trajectories!

    CAMDA encourages an open contest, where all analyses of the contest data sets are of interest, not limited to the questions suggested here. There is an online forum for the free discussion of the contest data sets and their analysis, in which you are encouraged to participate.

    We look forward to a lively contest!

    Read more at camda.info
    ​​
    On behalf of CAMDA organizing committee,
    Paweł Łabaj​​

    Click image for larger version

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