Continuous flow, size-based separation of entities down to the nanometer scale using nanopillar arrays

    公开(公告)号:GB2549627B

    公开(公告)日:2021-10-13

    申请号:GB201708235

    申请日:2015-11-23

    Applicant: IBM

    Abstract: A technique relates sorting entities. The entities are introduced into a nanopillar array. The entities include a first population and a second population, and the nanopillar array includes nanopillars arranged to have a gap separating one from another. The nanopillars are ordered to have an array angle relative to a fluid flow direction. The entities are sorted through the nanopillar array by transporting the first population of the entities less than a predetermined size in a first direction and by transporting the second population of the entities at least the predetermined size in a second direction different from the first direction. The nanopillar array is configured to employ the gap with a gap size less than 300 nanometers in order to sort the entities having a sub-100 nanometer size.

    Predicting personalized cancer metastasis routes, biological mediators of metastasis and metastasis blocking therapies

    公开(公告)号:GB2566624B

    公开(公告)日:2019-07-17

    申请号:GB201819983

    申请日:2017-02-16

    Applicant: IBM

    Abstract: Embodiments of the present invention may provide the capability to predict the metastasis of cancer in a patient from one tissue to another. In an embodiment, a computer-implemented method for predicting metastasis may comprise receiving an indication of at least one disrupted gene of the cancer, traversing data representing a gene-to-gene or protein-to-protein interaction network specific for a type of the cancer type from a position of the received gene in the network to a position of at least one gene involved in metastasis for a tissue type, organ or body part, determining at least one shortest path in the network between the received gene and the at least one gene involved in metastasis for the tissue type, organ or body part, generating a prediction of metastasis to the tissue type based on the at least one determined path, and generating an output display indicating a likelihood of spread of cancer to the tissue type, organ or body part.

    Predicting personalized cancer metastasis routes, biological mediators of metastasis and metastasis blocking therapies

    公开(公告)号:GB2566624A

    公开(公告)日:2019-03-20

    申请号:GB201819983

    申请日:2017-02-16

    Applicant: IBM

    Abstract: Predicting the metastasis of cancer in a patient from one tissue to another is disclosed. A computer-implemented method for predicting metastasis may comprise receiving an indication of at least one disrupted gene of the cancer, traversing data representing a gene-to-gene or protein-to-protein interaction network specific for a type of the cancer type from a position of the received gene in the network to a position of at least one gene involved in metastasis for a tissue type, organ or body part, determining at least one shortest path in the network between the received gene and the at least one gene involved in metastasis for the tissue type, organ or body part, generating a prediction of metastasis to the tissue type based on the at least one determined path, and generating an output display indicating a likelihood of spread of cancer to the tissue type, organ or body part.

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