Abstract: Embodiments may provide capability to predict the 10-year risk of local recurrence of ductal carcinoma in situ (DCIS) conditions or other non-invasive carcinomas in situ. Embodiments may evaluate the severity and frequency of numerical and structural CA present within DCIS, and may assign a quantitative centrosomal amplification score (CAS) to each sample. For example, a method of determining the risk profile of a carcinoma in situ in a patient may comprise determining severity and frequency of numerical and structural centrosome amplification present within a sample of a carcinoma in situ from the patient and determining at least one centrosome amplification score (CAS) value for the sample based on the determined severity and frequency of numerical and structural centrosome amplification in the sample, wherein the determined at least one CAS value provides a measure of a level of a 10-year risk of local recurrence associated with the carcinoma in situ.

Abstract: A system and method for selecting and/or designing a tool for a medical procedure by converting static/still medical images of a particular patient into dynamic and interactive images interacting with selected medical tools including medical devices by coupling a model of tissue dynamics and tool characteristics to the patient specific imagery for simulating a medical procedure in an accurate and dynamic manner by coupling a model of tissue dynamics to patient specific imagery for simulating the medical procedure.

Abstract: Provided is a method, system and/or apparatus for determining prospective heart failure event risk. Acquired from a device memory are a heart failure patient's current and preceding risk assessment periods. Counting detected data observations in the current risk assessment period for a current risk assessment total amount and counting detected data observations in the preceding risk assessment period for a preceding risk assessment period total amount. Associating the current risk assessment and preceding risk assessment total amounts with a lookup table to acquire prospective risk of heart failure (HF) event for the preceding risk assessment period and the current risk assessment period. Employing weighted sums of the prospective risk of the HF event for the preceding risk assessment period and the current risk assessment period to calculate a weighted prospective risk of the HF event for a patient. Displaying on a graphical user interface the weighted prospective risk of the HF event for the patient.

Abstract: Described is a method for screening hydrolases with improved robustness by combining high-pressure molecular dynamics simulation and free energy calculation. The disclosed methods belongs to the fields of computational chemistry, bioinformatics, genetic engineering, and protein engineering, where the above method constructs and screens hydrolase mutants. The frequency of positive mutants in the screen is as high as 62.5%, meaning that the screening workload is effectively reduced, and the obtained mutants have high robustness and high industrial application potential.

Abstract: Aspects of the disclosure relate to methods, systems, and computer-readable storage media that are useful for characterizing subjects having certain cancers, for example cancers typified by solid tumors. The disclosure is based, in part, on methods for determining a tumor microenvironment (TME) type of a cancer subject and determining the subject's prognosis and/or likelihood of responding to one or more therapies based upon the TME type determination.

Abstract: A method of operation of a medical device system for determining prospective heart failure hospitalization risk. The method includes measuring one or more data observations via one or more electrodes of an implanted medical device disposed in a patient's body. The data observations are stored into memory of the implantable medical device of a patient. The data observations are transmitted to an external device. The processor of the external device parses the data observations into one or more evaluation periods. Using the number of observations in one or more evaluation periods, a look up table, stored into memory of the external device, is accessed. The look up table associates prospective heart failure hospitalization risk with the data observations noted in the evaluation period. One or more embodiments involve a weighted prospective heart failure hospitalization risk for the set of evaluation periods. The prospective heart failure hospitalization is then displayed on the graphical user interface.

Abstract: Methods, systems, and apparatus for determining probabilistic measures of seizure activity (PMSA) values based on a plurality of seizure detection algorithms and/or body signals used as inputs by the seizure detection algorithms. Use of the PMSA values to detect seizure activity based on a consensus of the algorithms and/or body signals, and/or warn, log, administer a therapy, or assess the efficacy of a therapy.

Abstract: A Boltzmann-based method for simulating a CVI densification process of a composite material is provided. Phase space occupancy is provided in the method, such that a geometrical model can be presented by using the concept of a matrix, and components of a space are distinguished; and a phase space occupancy matrix can directly participate in operation, which is equivalent to a natural division of grids and boundaries, and the boundaries are presented by a phase parameter, which is a natural capturing process. Flow field calculation of the method uses virtual time step calculation, such that a boundary condition can be written in a unified form, thereby improving the programmability.

Abstract: A device for locating a sample read with respect to a reference genome includes a plurality of groups of cells. Each group of cells stores a reference sequence representing reference bases from the reference genome corresponding to an order of cells in the respective group of cells. Each group of cells further stores a current substring sequence representing sample bases from the sample read corresponding to the order of the cells in the respective group of cells. Each group of cells stores the same current substring sequence and a reference sequence representing a portion of the reference genome that partially overlaps at least one other portion of the reference genome represented by one or more other reference sequences stored in one or more other groups of cells. Groups of cells are identified among the plurality of groups of cells where the stored reference sequence matches the current substring sequence.