METHOD AND SYSTEM FOR ACQUIRING DATA FROM AN INDIVIDUAL FOR PREPARING A 3D MODEL

    公开(公告)号:US20220015878A1

    公开(公告)日:2022-01-20

    申请号:US17489825

    申请日:2021-09-30

    发明人: George Cowburn

    摘要: A method and system for acquiring data from an individual for preparing a 3D model. The method includes acquiring first, second, and third data sets. The first data set facilitates structural modeling of maxillary and mandibular arches of the individual. The second data set facilitates relating a maxilla of the individual to the maxillary arch, and a mandible of the individual to the mandibular arch. The individual is confirmed to be at the physiological rest position when the third data set is acquired. The third data set facilitates structural modeling of at the maxilla and the mandible, wherein a maxillo-mandibular relationship is at the physiological rest position. The system includes a first data acquisition module for acquiring the first data set, a second data acquisition module for acquiring the second and third data sets, and a processor in operative communication with the first and second data acquisition modules.

    MACHINE LEARNING ACCELERATED PROTEIN ENGINEERING THROUGH FITNESS PREDICTION

    公开(公告)号:US20210403946A1

    公开(公告)日:2021-12-30

    申请号:US17244774

    申请日:2021-04-29

    IPC分类号: C12N15/86 C12N15/10 G16B5/00

    摘要: Techniques for identifying production-fit amino acid sequence libraries are disclosed. The techniques may include accessing a statistical model relating an input amino acid sequence to production fitness of a protein having the input amino acid sequence, obtaining production fitness information for production-fit variant amino acid sequences, and generating an amino acid sequence library having amino acid sequences with predicted production fitness in accordance with the production fitness information. The techniques further include using a statistical model for a protein characteristic other than production fitness to generate an amino acid sequence library having amino acid sequences that are both predicted to be production-fit and have the protein characteristic.

    Lifecycle assessment systems and methods for determining emissions from animal production

    公开(公告)号:US11209419B2

    公开(公告)日:2021-12-28

    申请号:US17098415

    申请日:2020-11-15

    发明人: Colin M. Beal

    摘要: Approaches provide for machine learning or training algorithms that apply modifications to models based on a type of data obtained, including, for example, producer-specific management practice data, genetic data, among other such data. The animal-centric models can be configured to, for example, quantify gas emissions (e.g., greenhouse gas emissions) that an animal may be expected to emit over a period of time, including, for example, over the animal's lifetime. The emissions in certain embodiments can further enable the certification of emissions for individual animals.