Computational Biology System for Neurodevelopmental Subgrouping

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Solution Overview

Problem

Conventional treatments for neurodevelopmental conditions, such as autism spectrum disorder, ADHD, and schizophrenia, are often ineffective and inconsistent due to their reliance on behavioral indicators, failing to consider genetic and morphological variations among individuals, leading to inadequate personalized treatment approaches.

Innovation Solution

A computational biology system that analyzes genetic, morphological, and biological data to identify subgroups of individuals with neurodevelopmental conditions, determining genetic profiles and predicting responsiveness to specific treatments by correlating genetic profiles of individuals with those of therapeutics, thereby recommending personalized treatment options.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional treatments are applied based on general diagnosis according to behavioral indicators, then treatment can be broadly applied to individuals, but the effectiveness is frequently limited, inconsistent, and difficult to predict

Engineering Contradiction:

Improvebroad applicability of treatmentVSAvoidtreatment effectiveness

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent segments the homogeneous group of individuals with neurodevelopmental conditions into distinct subgroups based on genetic profiles, morphological features, and biological characteristics. This segmentation allows treatments to be tailored to specific subgroups rather than applied universally, resolving the contradiction by maintaining broad applicability through multiple subgroup-specific treatment options while improving reliability through personalized matching.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by identifying specific genetic and biological characteristics that define different subgroups of individuals with neurodevelopmental conditions. Each subgroup receives treatment optimized for its specific characteristics rather than a uniform approach, thereby improving treatment effectiveness while maintaining the ability to broadly apply treatments across different subgroups.

Inventive Principle:

Principle #3Local quality

2Reliability

If treatments are personalized based on genetic and morphological data analysis, then treatment effectiveness is improved, but the complexity of the system increases

Engineering Contradiction:

Improvetreatment effectivenessVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a computational biology system as an intermediary that automatically performs complex data analysis of genetic, morphological, and biological information. This intermediary handles the complexity of integrating multiple data types and identifying subgroup characteristics, thereby improving treatment effectiveness while shielding clinicians from the computational complexity through automated processing and standardized outputs.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If comprehensive genetic and biological data are analyzed to identify subgroups, then treatment accuracy is improved, but the difficulty of detecting and measuring increases

Engineering Contradiction:

Improvesubgrouping accuracyVSAvoiddata analysis complexity

Core Design Contradiction:

Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent replaces manual clinical assessment with automated computational analysis of genetic, morphological, and biological data. This substitution uses computer-based algorithms to process complex multi-dimensional data, thereby improving measurement precision in subgroup identification while reducing the difficulty of detecting and measuring relevant characteristics through automation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20220406405A1Computational Platform To Identify Therapeutic Treatments For Neurodevelopmental Conditions

Publication Date: 2022.12.22 STALICLA SA

AI summary

Systems and techniques can determine candidate treatments for individuals diagnosed with a biological condition. The biological condition can include a neurodevelopmental condition and the candidate treatments can include one or more therapeutics. In one or more implementations, data, such as genetic data, morphological data, and levels of analytes, can be used to group individuals that have been diagnosed with a neurodevelopmental condition based on behavioral classifications. Biological pathways that are disrupted by the neurodevelopmental condition can also be identified along with one or more genes of the biological pathways whose expression is impacted by the neurodevelopmental condition. Therapeutics can be identified to treat individuals diagnosed with the neurodevelopmental condition based on genetic profiles of the therapeutics and genetic profiles of the individuals in which the neurodevelopmental condition is present.