Abstract: A system that includes a machine learning model that is configured to receive an input layout file that includes a portion of an integrated circuit layout that has a previously identified wafer hotspot, match the previously identified wafer hotspot to one of a plurality of categories of wafer hotspot types, and output a proposed layout modification associated with the matching category of wafer hotspot types.

Abstract: A computer-implemented system for identifying a patient for a trial may include at least one processor. The at least one processor may be programmed to receive an indication of a selected trial, the selected trial being associated with a testing status criterion; access a plurality of patient records associated with a patient of a plurality of patients; determine, using a machine learning model and based on unstructured information from one at least one of the patient records, a likelihood of an occurrence of genomic testing for the patient; determine a genomic testing status of the patient based on the determined likelihood of the occurrence of genomic testing; determine that the genomic testing status satisfies the testing status criterion; and include the patient in a subset of the plurality of patients based on the genomic testing status satisfying the testing status criterion.

Abstract: The present application discloses a method, system, and computer system for detecting malicious files. The method includes receiving a sample that comprises a .NET file, obtaining imported API function names based at least in part on a .NET header of the .NET file, determining a hash of a list of unmanaged imported API function names, and determining whether the sample is malware based at least in part on the hash of the list of unmanaged imported API function names.

Abstract: The present application discloses a method, system, and computer system for detecting malicious files. The method includes receiving a sample, extracting an embedded script from the sample, applying a malicious script detector in connection with determining whether the sample is malicious, and in response to determining that the sample is malicious sending, to a security entity, an indication that the sample is malicious.