Patent №
US 11,614,434
Granted
2023-03-28
Filed 2018
Owner
ONCOBOX LTD. (OBSCHESTVO S OGRANICHENNOI OTVETSTVENNOSTYU "ONCOBOX")
+1 more
Lab
—
AI components
2
ml · vision
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
16088446
The invention describes the method allowing for efficient predictive ranking of clinical efficiencies of the existing targeted medicinal products for individual patient with proliferative or oncology disease. The method makes it possible to use a wide range of experimental data received from the patients' pathological tissue samples and relevant control samples: information on gene mutations, transcription factor binding profile, protein (considering harmonization), mRNA (considering harmonization) and microRNA expression strength. The method also uses information on molecular targets of the medicinal products. This method can be automated to prevent potential errors associated with manual calculation and makes it possible to consider patient-specific changes in hundreds and thousands molecular pathways which include tens and hundreds of gene products. This method also considers the features and mode of action of various classes of target drugs. Using this method will enable selecting a medicinal product for the patient based on the analysis of objective individual changes occurred in the pathological tissue.
AI classification
Ownership
ONCOBOX LTD. (OBSCHESTVO S OGRANICHENNOI OTVETSTVENNOSTYU "ONCOBOX")
assignment · 625980768
OMICSWAY CORP.
assignment · 625980844
Assignors
BUZDIN, ANTON ALEXANDROVICH, SOROKIN, MAKSIM IGOREVICH, TKACHEV, VIKTOR SERGEEVICH, NIKITIN, DANIIL MIKHAILOVICH, ZOLOTOVSKAYA, MARIANNA ARSENOVNA, GARAZHA, ANDREY VLADIMIROVICH, BORISOV, NIKOLAI MIKHAILOVICH, ONCOBOX LTD. (OBSCHESTVO S OGRANICHENNOI OTVETSTVENNOSTYU "ONCOBOX")
On an employer assignment, the assignors are typically the inventors.