CHARACTERISTICS OF PATIENT INFLUENCING DISEASE PROGRESSION

    公开(公告)号:US20250087352A2

    公开(公告)日:2025-03-13

    申请号:US18544180

    申请日:2023-12-18

    Abstract: A computer-implemented method for determining characteristics of a patient that influence a progression of a disease of the patient. The method includes, while training a neural network with a provided dataset, for each transition of the multi-state model, and for each characteristic, determining a respective quantification of an impact of the characteristic on the results of the neural network. The method includes, for each transition, identifying a list of characteristics of the set of characteristics, and, for each given characteristic of the identified list, determining a relationship between the given characteristic and probabilities of transition. The method includes providing the identified lists and the determined relationships that influence the progression of the disease of the patient. Such a method forms an improved solution for determining patient's characteristics that influence patient disease progression.

    METHOD FOR MODIFYING A 3D MODEL BY USING A PARTIAL SKETCH

    公开(公告)号:US20250078407A1

    公开(公告)日:2025-03-06

    申请号:US18825252

    申请日:2024-09-05

    Abstract: A computer-implemented method for designing a 3D model, which includes providing an initial 3D model in a 3D scene including at least one extruded section, being defined by a set of parameters, receiving a user sketch on the plane perpendicular to the sight of view direction, at each iteration: modifying at least one of said parameters, thereby obtaining a modified 3D model, performing a perspective projection, on a plane perpendicular to the sight of view direction, of the modified 3D mode, thereby obtaining a 2D visible wireframe including the visible inner and outer edges of the modified 3D model, computing an energy including a first term which penalizes an inconsistency between the modified and the initial 3D model, and a second term which penalizes a mismatch between the 2D visible wireframe and the user sketch, said parameters being modified to minimize said energy, and outputting the modified 3D model.

    MACHINE-LEARNING FUNCTION FOR OUTPUTTING CAMERA VIEWPOINTS

    公开(公告)号:US20250061654A1

    公开(公告)日:2025-02-20

    申请号:US18806248

    申请日:2024-08-15

    Abstract: A computer-implemented method for determining a machine-learning function configured for taking an input 3D scene and for outputting one or more camera viewpoints each for generating a respective 2D rendering of the 3D scene. The method includes obtaining a library having 3D scenes. The method includes, based on the library, forming a first dataset for training a first neural network configured for outputting a camera position and forming a second dataset for training a second neural network configured for outputting a camera orientation. The method includes training the first neural network based on the first dataset and training the second neural network based on the second dataset. Each camera viewpoint outputted by the machine-learning function includes a camera position and a camera orientation. Such a method forms an improved solution for outputting one or more camera viewpoints of a 3D scene.

    Method for consolidating a key indicator of a virtual object in an index

    公开(公告)号:US12164840B2

    公开(公告)日:2024-12-10

    申请号:US17096642

    申请日:2020-11-12

    Inventor: Alexandre Laloi

    Abstract: A computer implemented method for consolidating at least one key indicator of a virtual object receiving a description of at least one key indicator of the virtual object, receiving a set of attributes (ATT) of the virtual object, receiving a data model (DM) for indexation of said virtual object, receiving a set of rules (RUL) to convert the attributes of the virtual object (OBJ) into the data model (DM) for indexation, applying the set of rules (RUL) to convert said attributes into the data model (DM) for indexation, transforming the data model (DM) for indexation into a directed acyclic graph, and consolidating said key indicator based on an expansion of the directed acyclic graph.

    DESIGNING A MANUFACTURING PRODUCT HAVING ONE OR MORE MECHANICAL FUNCTIONALITIES

    公开(公告)号:US20240403502A1

    公开(公告)日:2024-12-05

    申请号:US18732039

    申请日:2024-06-03

    Abstract: A computer-implemented method for designing a manufacturing product having one or more mechanical functionalities. The method includes obtaining a first instance of a CAD model and a mesh representing a target boundary shape of the manufacturing product and determining a second instance of the CAD model. The CAD model includes a feature tree having a plurality of continuous CAD parameters, and a set of one or more parameterization constraints which specifies the one or more mechanical functionalities. The first instance includes a first value and the second instance includes a second value for each continuous CAD parameter, respectively. The determining of the second instance consists of computing the second values by modifying at least part of the first values to minimize a shape dissimilarity metric between a boundary shape represented by the first instance of the CAD model and the target boundary shape.

    Global uniqueness checking in distributed databases

    公开(公告)号:US12158877B2

    公开(公告)日:2024-12-03

    申请号:US18156806

    申请日:2023-01-19

    Abstract: A distributed database processing system for a database composed of data records organized into tables which processes unique index atoms consistently and concurrently. Each attempt to insert a new key value into such a unique index atom in any given node is routed to a unique index atom chairman for processing. The chairman determines whether the request will be granted. If the request is not granted, the requesting unique index atom continues to try to submit the insert. If the request is granted, the requesting unique index atom modifies the content thereof and broadcasts a replicated given unique index atom all other nodes that contain the replicated unique index atom.

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