Ignite Creation Date:
2024-10-26 @ 3:35 PM
Last Modification Date:
2024-10-26 @ 3:35 PM
Study NCT ID:
NCT06506227
Status:
NOT_YET_RECRUITING
Last Update Posted:
None
First Post:
2024-06-30
Brief Title:
Research on Key Technologies for Risk Prediction and Precise Diagnosis and Treatment of AIS Based on Epigene-phenotype
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Research on Key Technologies for Risk Prediction and Precise Diagnosis and Treatment of Adolescent Idiopathic Scoliosis Based on Epigene-phenotype
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-05
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Mining AIS biomarkers elucidating the new mechanism of AIS pathogenicity constructing risk prediction models optimizing AIS precise diagnosis and treatment techniques formulating precise diagnosis and treatment protocols and technical specifications for AIS combined with Chinese and Western medicine with independent intellectual property rights and realizing the full coverage of Zhejiang Province by the end of 2026 so as to form the Zhejiang experience of AIS diagnosis and treatment
Detailed Description:
Currently there are problems of high genetic and phenotypic heterogeneity in AIS research lack of in-depth epigenetic studies and lack of clarity in pathogenic mechanisms This project proposes to use EWAS technology combined with a hybrid model of multidimensional and multimodal data fusion to realize a multi-omics joint analysis to clarify the amount of synergistic effects between multi-omics risk factors and AIS to draw a map of modifiable risk factors to clarify AIS biomarkers and to reveal AIS To clarify the biomarkers of AIS and reveal the pathogenic mechanism of AIS Currently the clinical diagnosis and treatment of AIS is highly subjective and lacks objective and accurate risk prediction which makes it easy to make wrong clinical decisions resulting in insufficient delayed or excessive treatment missing the optimal time for treatment and poor clinical efficacy This project intends to establish a multi-dimensional and multi-modal dynamic database use the unified model construction technology combined with the sample imbalance model to construct a unified and accurate prediction model for AIS to perform clinical typing and risk stratification for AIS to establish individualized and accurate diagnostic and treatment protocols for AIS to improve the efficacy of AIS to obtain high-quality clinical evidence and to formulate industry-recognized clinical prevention and treatment standards norms and guidelines Through mining AIS biomarkers elucidating new mechanisms of AIS pathogenicity constructing risk prediction models optimizing AIS precision diagnosis and treatment techniques and formulating precise diagnosis and treatment protocols and technical specifications for AIS combining Chinese and Western medicine with independent intellectual property rights the project will achieve full coverage of Zhejiang Province by the end of 2026 forming the Zhejiang experience in AIS diagnosis and treatment Zhejiang experience will be formed in AIS diagnosis and treatment The promotion of the results can realize the precision of AIS diagnosis and treatment improve the efficacy of AIS treatment reduce the incidence of severe scoliosis reduce medical expenditure by billions of dollars and alleviate the economic burden on families and society
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None