公开(公告)号：US20240029846A1

公开(公告)日：2024-01-25

申请号：US18362950

申请日：2023-07-31

Applicant: ZHEJIANG LAB

Inventor： Yu WANG ,  Jingsong LI ,  Yu TIAN ,  Tianshu ZHOU

IPC: G16H10/60 ,  G16C20/30

CPC classification number: G16H10/60 ,  G16C20/30

Abstract: Disclosed is a method and a system for discovering new drug indications by fusing patient portrait information. According to the present disclosure, real-world patient medication and patient diagnostic data are introduced into a data-driven drug relocation solution, an actual use effect of drugs in a broader population is added into a new drug-disease relationship prediction model. According to the present disclosure, a patient portrait is constructed as a feature expression of patient information, and is used to construct a patient-patient network as a medium between drug and disease networks, and a heterogeneous network system corresponding to actual clinical processes is constructed. Prediction results in the present disclosure are more closely related to a clinical practice, and a probability of success in subsequent validation of old drugs for new usage and new clinical trials is greater.

公开(公告)号：US20240313830A1

公开(公告)日：2024-09-19

申请号：US18242531

申请日：2023-09-06

Applicant: ZHEJIANG LAB

Inventor： Yu WANG ,  Ran DUAN ,  Yi FENG ,  Di LI

IPC: H04B7/0426 ,  H04B7/08 ,  H04B17/21

CPC classification number: H04B7/043 ,  H04B7/0857 ,  H04B17/22

Abstract: The present disclosure relates to a radio astronomy interference signal reduction method, apparatus, and system and a computer device. The method includes: acquiring at least two beam signals, and obtaining a covariance matrix between all the beam signals according to the beam signals, wherein the beam signals include subsignals from at least two directions; performing eigen-decomposition processing on the covariance matrix to obtain signal eigenvectors and eigenvalues corresponding to the subsignals, and extracting interference eigenvectors corresponding to interference signals from the signal eigenvectors based on the eigenvalues; and obtaining a target reduction result for the interference signals according to the signal eigenvectors and the interference eigenvectors. With the method, the problem of low accuracy of radio astronomy interference signal reduction in the related art can be solved.

公开(公告)号：US20240145059A1

公开(公告)日：2024-05-02

申请号：US18364470

申请日：2023-08-02

Applicant: ZHEJIANG LAB

Inventor： Jingsong LI ,  Yu WANG ,  Shuang MA ,  Yu TIAN ,  Tianshu ZHOU

IPC: G16H20/10 ,  G16H10/20 ,  G16H10/60

CPC classification number: G16H20/10 ,  G16H10/20 ,  G16H10/60

Abstract: Disclosed is a method and a system for discovering adverse drug reaction signals based on causal discovery. According to the present application, a causality is introduced in the process of discovering adverse drug reaction signals by using electronic medical record data, the data dimension in real-world electronic medical record data is maximally reserved, a Bayesian network structure containing causal effects, as well as a set of confounding factors which plays a role in both a medication intervention and an occurrence of an adverse event are constructed. The method of constructing the set of confounding factors starts from the data, without artificial access and prior knowledge, and retains the confounding factors in the real world to the greatest extent. A medication intervention group and a control group are constructed based on these confounding factors, and the randomized controlled trial is simulated.