In sensitivity analyses, dynamic hs-cTn changes with a threshold > 20% (OR, 0.78; 95% CI, 0.47-1.29) or any cutoff between 0% and 100% for relative hs-cTn changes did not improve the association ...

Using a high-throughput fluorescence microscopy system and machine learning algorithms, oxidative stress-related changes in protein localization have been mapped by researchers from Japan. Furthermore ...

Discover why Excel's INDIRECT function is outdated and learn smarter alternatives like Power Query, FILTER, and LAMBDA for ...

Once your data is in table format, you’re ready to build dynamic tools that adapt to changes in your dataset. Excel’s Hidden Trick to Self-Updating Filters Watch this video on YouTube .

Dynamic data changes frequently and can rapidly become stale. For example, the average tenure of a Chief Marketing Officer at a technology startup is about 24 months.

Our data indicate that on-treatment changes of ctDNA predict survival, but did not well correlate with radiographically assessed tumor response, which is in line with previous reports. 5,15 Although ...

Modern dynamic pricing algorithms leverage data, AI and ML capabilities to predict market trends and optimize prices accordingly. Skip to main content Events Video Special Issues Jobs ...

Mention McDonald’s to someone today, and they're more likely to think about Big Mac than Big Data. But that could soon change: The fast-food giant has embraced machine learning, in a fittingly ...