SLAS is committed to providing a safe meeting space, high-quality education and meaningful networking opportunities for all attendees, whether in person or on a virtual platform, as circumstances warrant. We look forward to convening in person but will do so only if we can provide a safe and appropriate meeting venue as well as suitable accommodations for travelers. The SLAS team is monitoring all aspects of event logistics and solidifying plans to enable alternative forms of knowledge sharing.
In today’s interconnected lab environment, these seemingly disparate communities need one another more than ever: sample managers depend on machine learning for predictive analytics and process improvements, and data scientists need samples’ rich collections of metadata, assay results, and data repositories to build better models.
Join SLAS in Boston, November 4 - 5, to discuss critical areas of overlap like digital pathology and clinical data automation, while diving into deeper topics from each discipline including Blockchain, target validation, and off-the-shelf AI adoption.
We’ll explore these topics together through speakers, workshops, and roundtable events, among other formats. See you in Boston!