G01N31/00

Method for training and testing shortcut deep learning model capable of diagnosing multi-cancer using biomarker group-related value information and learning device and testing device using the same
11519915 · 2022-12-06 · ·

A deep learning based diagnostic model capable of diagnosing multi-cancer using biomarker group-related value information is trained by using a method including steps of: in response to acquiring training data including the biomarker group-related value information and GT (Ground Truth) cancer information for each of patients, inputting the training data into the diagnostic model and then instructing the diagnostic model to (i) allow each hidden layer, among a first hidden layer to a K-th hidden layer, to perform a fully connected operation on its previous sub input values for training obtained from its previous hidden layer, wherein K is an integer greater than or equal to 1, and then (ii) allow an output layer to perform a fully connected operation on K-th sub input values for training obtained from the K-th hidden layer, to thereby output multi-cancer diagnosis information for training as a result of predicting multi-cancer.

Checkpoint blockade and microsatellite instability

Blockade of immune checkpoints such as cytotoxic T-lymphocyte antigen-4 (CTLA-4) and programmed death-1 (PD-1) shows promise in patients with cancer. Inhibitory antibodies directed at these receptors have been shown to break immune tolerance and promote anti-tumor immunity. These agents work particularly well in patients with a certain category of tumor. Such tumors may be particularly susceptible to treatment because of the multitude of neoantigens which they produce.

Activation of bioluminescene by structural complementation

Provided herein are compositions and methods for the assembly of a bioluminescent complex from two or more non-luminescent (e.g., substantially non-luminescent) peptide and/or polypeptide units. In particular, bioluminescent activity is conferred upon a non-luminescent polypeptide via structural complementation with another, complementary non-luminescent peptide.

Chemical formula extrapolation and query building to identify source documents referencing relevant chemical formula moieties

A system and method for extrapolating a set of specific representational identifiers that are represented or covered by a generic representational identifier found in a target document. Queries are constructed and performed on a corpus of source documents in which members of the extrapolated set of specific representational identifiers are compared to a database of representational data. By matching representational data in this way, any overlap between the generic representational data and specific instances of the generic representational identifier within the source documents is determined. In a more specific implementation, the system and method reduces the scope of the generic representational identifier such that the reduced scope generic representational identifier encompasses only novel specific representational identifiers.

Multi-Tenant Node on a Private Network of Distributed, Auditable, and Immutable Databases
20220351197 · 2022-11-03 ·

The present disclosure describes a technology platform for creating and updating records of resources in a ledger. To create a record, a tenant organization may prepare a record to write to the ledger that may be flagged as temporary. Metadata may be added to the record, which flags the record as temporary. The metadata may comprise a unique code and an identification of a user that can approve the temporary record. The unique code and the identification may be sent, by the technology platform, to a device associated with one or more approving devices. Upon receiving the code and the identification of the transaction, the device may sign the unique code and invoke a routine based on the identification. The routine may fetch the temporary record. The device may compare the unique code to a code stored in the metadata of the temporary record. Upon valid verification of the unique code, the device may indicate authorization of the write. Based on the authorization, a proxy node associated with the technology platform may write a definitive record to the ledger based on the temporary record.

Multi-tenant node on a private network of distributed, auditable, and immutable databases
11610199 · 2023-03-21 · ·

The present disclosure describes a technology platform for creating and updating records of resources in a ledger. To create a record, a tenant organization may prepare a record to write to the ledger that may be flagged as temporary. Metadata may be added to the record, which flags the record as temporary. The metadata may comprise a unique code and an identification of a user that can approve the temporary record. The unique code and the identification may be sent, by the technology platform, to a device associated with one or more approving devices. Upon receiving the code and the identification of the transaction, the device may sign the unique code and invoke a routine based on the identification. The routine may fetch the temporary record. The device may compare the unique code to a code stored in the metadata of the temporary record. Upon valid verification of the unique code, the device may indicate authorization of the write. Based on the authorization, a proxy node associated with the technology platform may write a definitive record to the ledger based on the temporary record.

Multi-tenant node on a private network of distributed, auditable, and immutable databases
11610199 · 2023-03-21 · ·

The present disclosure describes a technology platform for creating and updating records of resources in a ledger. To create a record, a tenant organization may prepare a record to write to the ledger that may be flagged as temporary. Metadata may be added to the record, which flags the record as temporary. The metadata may comprise a unique code and an identification of a user that can approve the temporary record. The unique code and the identification may be sent, by the technology platform, to a device associated with one or more approving devices. Upon receiving the code and the identification of the transaction, the device may sign the unique code and invoke a routine based on the identification. The routine may fetch the temporary record. The device may compare the unique code to a code stored in the metadata of the temporary record. Upon valid verification of the unique code, the device may indicate authorization of the write. Based on the authorization, a proxy node associated with the technology platform may write a definitive record to the ledger based on the temporary record.

Methods of identification, assessment, prevention and therapy of lung diseases and kits thereof including gender-based disease identification, assessment, prevention and therapy

The invention provides biomarkers and combinations of biomarkers useful in diagnosing lung diseases such as non-small cell lung cancer or reactive airway disease. The invention also provides methods of differentiating lung disease, methods of monitoring therapy, and methods of predicting a subject's response to therapeutic intervention based on the extent of expression of the biomarkers and combinations of biomarkers. Kits comprising agents for detecting the biomarkers and combination of biomarkers are also provided.

Antibodies, activatable antibodies, bispecific antibodies, and bispecific activatable antibodies and methods of use thereof

Provided herein antibodies, activatable antibodies (AAs), bispecific antibodies, and bispecific activatable antibodies (BAAs). Also provided herein are methods of making and methods of use of these antibodies, AAs, bispecific antibodies, and BAAs.

Cancer prevention and therapy by inhibiting soluble tumor necrosis factor

Methods are disclosed for inhibiting the development of a tumor in a subject. The methods include administering to a subject a therapeutically effective amount of a dominant negative tumor necrosis factor (DN-TNF)-α protein and/or a nucleic acid encoding the DN-TNF-α protein. The DN-TNF-α protein and/or a nucleic acid encoding the DN-TNF-α protein can be administered alone or in combination with other agents.