The SLAS Technology Editor's Top 10 annually showcases ten individual articles that stand out as the most innovative scientific achievements published in SLAS Technology in the past 12 months.
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SLAS launched its "Lab of the Future" program at the SLAS2023 International Conference and Exhibition, to recognized companies dedicated to integrating upcoming technologies into the laboratory. And now 13 more companies will be recognized at the SLAS Europe 2023 Conference and Exhibition.
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Understanding how cells respond to genetic perturbation can have an enormous impact on a wide array of biomedical applications – from identifying the causes of cancer drug resistance to improved precision in re-engineering cells. Yusuf Roohani, M.Sc., leverages the powers of deep learning and biological knowledge graphs to build computational models for in-silico gene perturbation that help scientists maximize the value generated by large perturbational screens.
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