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Synthetic biometric generator based on real biometric data tags

A technology of biological data and synthetic biology, applied in biological systems, biostatistics, bioinformatics, etc.

Pending Publication Date: 2022-06-07
INSILICO MEDICINE IP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Meanwhile, the identification of prognostic aging markers remains a challenge

Method used

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  • Synthetic biometric generator based on real biometric data tags
  • Synthetic biometric generator based on real biometric data tags
  • Synthetic biometric generator based on real biometric data tags

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Experimental program
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Embodiment

[0123] The present invention includes methods, systems, apparatus, computer program products, etc. for performing the following operations.

[0124] Regardless of the specific type of biomarker assessed by biological age assessment compatible with the present invention, preferred embodiments of deep learning computational methods for both the present invention and biological age assessment are as follows. The deep learning model was trained with blood expression profiles using the back-propagation algorithm. The proposed model is based on the assumption that the underlying dynamics of age-related gene expression changes depend on some individuals for the underlying feature (z) of each sample. z is inferred from a single data point (x, y, s), where x is a vector of gene expression values, y is chronological age, and s is other features such as gender. The neural network G then defines the dynamics of the gene expression vector x=G(y; z, s). The transition from age y to age y'...

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Abstract

Creating synthetic biological data for a subject may include: (a) receiving a real biological data tag derived from a biological sample of the subject; (b) creating an input vector based on the real biological data tag; (c) inputting the input vector into a machine learning platform; (d) generating a predicted biodata tag for the subject based on the input vector, wherein the predicted biodata tag comprises synthetic biodata specific to the subject; and (e) preparing a report comprising the synthetic biological data of the subject. The biological pathway activation tag may be genomic, transcriptomic, proteomic, metabonomic, lipidomic, glycomic, methylomic, or secretomic. A potential code of the input vector in a potential space of the machine learning platform is adjusted with at least one constraint of an attribute of the subject such that the predicted biodata tag is based on the at least one constraint.

Description

[0001] cross reference [0002] This patent application claims priority to US Provisional Application No. 62 / 864,334, filed June 20, 2019, which is incorporated herein by specific reference in its entirety. Background technique [0003] With the major transition of the population to an older population, there is a growing need for interventions that can prolong life. At the same time, such interventions may require measuring biological aging at the individual level, which could quantify the acceleration and deceleration of age. [0004] Although aging may be a complex multifactorial process that does not have a single cause or treatment, the question of whether aging can be classified as a disease is widely debated. The survival of an animal is strongly dependent on its ability to maintain homeostasis, which is achieved in part through intracellular and intercellular communication within and between different tissues. Physiological activities that maintain homeostasis provid...

Claims

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Application Information

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IPC IPC(8): G16B5/00G16B40/00
CPCG16B5/00G16B40/20G16H50/50G16B20/00
Inventor D·波利科夫斯基D·科布特A·泽沃隆科夫
Owner INSILICO MEDICINE IP LTD
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