公开(公告)号：JP2015092641A

公开(公告)日：2015-05-14

申请号：JP2015028988

申请日：2015-02-17

Applicant: IBM

Inventor： PARK JIN-HONG ,  SOLOMON ASSEFA ,  KIM JEEHWAN ,  YURII VLASOV

IPC: H01L31/10

Abstract: 【課題】光検出デバイスを形成するための方法を提供する。【解決手段】光検出デバイスを形成するための方法が、基板上にゲルマニウム(Ge)層を形成することと、Ge層上に第1の絶縁体層を形成することと、Ge層内にn型イオンを注入することと、Ge層内のn型イオンを活性化させて単結晶n型Ge層を形成することと、第1の絶縁体層をパターン化して単結晶n型Ge層の露出部分を形成することと、単結晶n型Ge層の露出部分にゲルマニウム化物領域を形成することと、ゲルマニウム化物領域に電気的に接続された電極を形成することと、を含む。【選択図】図5

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

Inventor： GEOFFREY HENRY SIWO ,  SOLOMON ASSEFA ,  GUSTAVO ALEJANDRO STOLOVITZKY

IPC: G16H50/20 ,  G16B5/20

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.

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

Inventor： GEOFFREY HENRY SIWO ,  SOLOMON ASSEFA ,  GUSTAVO ALEJANDRO STOLOVITZKY

IPC: G16H50/20 ,  G16B5/20

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.