Siemens Healthcare Gmbh

Siemens Healthcare Diagnostics Gmbh

Siemens Healthineers Ag

Maximilian Würstle

Dominik Neumann

Yiwei Huang

Eugen Kubala

Oliver Frings

Tivadar Mach

Stefan Prause

Carsten Dietrich

A system is for infectious disease notification. The system includes at least one processor, configured to use a machine learning monitoring algorithm, trained on a large number of EMR datasets of patients, to calculate a probability for an infectious disease from a provided EMR dataset and compare the probability of the provided EMR dataset calculated with a known value. In training of the monitoring algorithm, the value represents whether there was an onset of an infectious disease or not and the monitoring algorithm is designed to adjust parameters of the monitoring algorithm. And in evaluating a notification, the value is a threshold value and the system is designed to output a notification upon the probability being greater than the threshold value.

System and method for infectious disease notification

The present invention relates to a method of obtaining an enriched population of a target polynucleotide using a synthetic single guide RNA (sgRNA) for an sgRNA-guided nucleic acid-binding protein, as well as to a method of obtaining a pool of target-irrelevant synthetic single guide RNAs (sgRNAs) for a sgRNA-guided nucleic acid-binding protein. Also provided is a target polynucleotide and sgRNAs obtainable by the methods of the invention. Further envisaged is a kit comprising a pool of sgRNAs obtainable by the method of the invention, and the use of a pool of sgRNAs obtainable by the methods of the invention.

Target irrelevant guide RNA for CRISPR

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Baiersdorf, Germany

Maximilian Würstle