Synthetic generation replicates key clinical patterns from real-world data, enabling valid analyses with fewer patients.

Researchers from the McCullagh Group in Oxford University's Department of Chemistry have published an innovative method in ...

Earlier this year, MIT Technology Review published a comprehensive series on AI and energy, at which time none of the major ...

Scientists at the Icahn School of Medicine at Mount Sinai have developed a powerful new computational tool that could ...

The accuracy of spatial gene expression profiles generated by probe-based in situ spatially-resolved transcriptomic technologies depends on the specificity with which probes bind to their intended ...

New York City-based Icahn School of Medicine at Mount Sinai has developed an artificial intelligence-powered image analysis tool, MARQO, to accelerate cancer tissue processing. The tool works by ...

Researchers at the Regensburg Center for Biochemistry (RCB) and the Regensburg Center for Ultrafast Nanoscopy (RUN) at the ...

Quant traders, who use rules-based strategies derived from data analysis, have long believed their models get less effective when they become too complicated. That’s because they suck in too much of ...

Scientists at the Icahn School of Medicine at Mount Sinai have developed a powerful new computational tool that could transform how cancer tissues are analyzed and help pave the way for more ...

The unprecedented expansion of healthcare data—from electronic health records and insurance claims to biobank repositories and patient‑generated ...