A method of simulating the activity of the human nervous system includes providing a networked server for access by a user of a general purpose computer, with a database having predetermined data on human nervous system activity being in communication with the networked server. User information is input into the general purpose computer which is correlated with data in the networked database to determine what part of the human nervous system is impacted by the user information input. The general purpose computer displays a simulated image of a portion of the human nervous system and animates the impacted part of the human nervous system determined in the correlation.

The present invention relates to a biological network analysis device and a method therefor. The biological network analysis method includes receiving biological data from an external server, extracting biological information from the received biological data to generate a biological interaction database, storing the generated biological interaction database, receiving input of a plurality of biological objects for a simulation, and performing a simulation by setting each of the biological objects to a node and automatically and generating a Boolean role based on the generated biological interaction database. Accordingly, the biological network analysis method conveniently designs a biological network and simulates the biological network based on biological interaction information by generating the biological interaction database.

Systems for the simulation of percutaneous medical procedures are disclosed. The systems can include a simulated vasculature including a first component configured to allow for introduction of a medical device into the system through an introductory port, a second component connected to the first component and shaped to simulate a portion of a human vasculature, and a third component connected to the second component and shaped to simulate a delivery site for the medical procedure. The system can be configured to allow for a medical device to be delivered to the third component by passing through the introductory port of the first component and passing through the second component. The system can be configured to replicate simulated conditions of use for the medical procedure. Methods for simulating a percutaneous medical procedure using a simulated vasculature are also disclosed.

An information processing method executed by a processor included in an information processing apparatus coupled to a sensor, the method includes acquiring information on a living body from the sensor; estimating, by using estimation models, indices other than one unknown index among three indices including an index being related to a feature of a change with time of a biological response signal value derived from a meal after completion of the meal, an index regarding energy consumed by the living body in a time period, and an index regarding a change in an amount of energy stored in the living body in the time period, based on the acquired information; estimating the one unknown index based on a relation satisfied by the three indices and a result of the estimating indices; and generating at least one of model parameters of the estimation models based on the estimated three indices.

Contemplated compositions and methods are directed to cancer neoepitopes and uses of such neoepitopes, especially to generate synthetic antibodies against neoepitopes that may then be employed in the manufacture of a therapeutic agent. Preferred therapeutic agents will comprise a synthetic antibody against a neoepitope, and most preferably in combination with a cellular or non-cellular component for use as a diagnostic or therapeutic agent.

A drug combination prediction method comprising: storing a plurality of original gene sets, at least one first gene impacted by a first drug and at least one second gene impacted by a second drug; determining the part of the at least one first gene and the part of the at least one second gene to be a first interaction gene set; calculating a gene amount of the first interaction gene set to obtain a first interaction gene amount, and calculating a first percentage generated by the first interaction gene amount in the first original gene set; calculating an interaction value of the combination of the first drug and the second drug according to the first percentage; and selecting at least one synergistic pharmaceutical composition according to the interaction value.

Systems and methods are disclosed for correcting for artificial deformations in anatomical modeling. One method includes obtaining an anatomic model; obtaining information indicating a presence of an artificial deformation of the anatomic model; identifying a portion of the anatomic model associated with the artificial deformation; estimating a non-deformed local area corresponding to the portion of the anatomic model; and modifying the portion of the anatomic model associated with the artificial deformation, based on the estimated non-deformed local area.

Described herein are polypeptides capable of self-assembling to form homo-oligomers, and methods for designing such polypeptides.

A method is presented for reprogramming cells of a subject. As a starting point, a biological sample of a sample cell is received from the subject, where the sample cell has a given cell type. The method includes: determining gene expression data for the sample cell from the biological sample; receiving gene expression data for a target cell having a target cell type, where the target cell type differs from the given cell type; deriving a state transition matrix which models cell dynamics; computing a regulatory set for a given transcription factor, where the regulatory set quantifies influence of the given transcription factor on a genome; expressing reprogramming of the sample cell to the target cell with a state-space representation of a linear system; and solving for the input vector in the state-space representation.

Methods and devices for selecting and optimizing an enzyme that catalyzes an input reaction. Known methods for in-silico selection and engineering of an enzyme are computationally intensive and have faulty accuracy. However, the present methods and devices rapidly and accurately screen multiple enzymes and optimize the same for an input reaction by performing stages including enzyme selection, enzyme assessment, and enzyme position scoring. Significant enhancement of the efficacy of the enzyme in a chemical reaction may be achieved through enzyme optimization.