Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Neuro-imaging and Neurodegeneration
Neurodegener Dis. 2024 Jan 31. doi: 10.1159/000536438. Online ahead of print.ABSTRACTIn this letter we discuss the use of neuroimaging techniques for patients to be included in new treatments for neurodegenerative diseases.PMID:38295783 | DOI:10.1159/000536438 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - January 31, 2024 Category: Neurology Authors: Daniele Botta Karl-Olof L övblad Source Type: research
Neuro-imaging and Neurodegeneration
Neurodegener Dis. 2024 Jan 31. doi: 10.1159/000536438. Online ahead of print.ABSTRACTIn this letter we discuss the use of neuroimaging techniques for patients to be included in new treatments for neurodegenerative diseases.PMID:38295783 | DOI:10.1159/000536438 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - January 31, 2024 Category: Neurology Authors: Daniele Botta Karl-Olof L övblad Source Type: research
Neuro-imaging and Neurodegeneration
Neurodegener Dis. 2024 Jan 31. doi: 10.1159/000536438. Online ahead of print.ABSTRACTIn this letter we discuss the use of neuroimaging techniques for patients to be included in new treatments for neurodegenerative diseases.PMID:38295783 | DOI:10.1159/000536438 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - January 31, 2024 Category: Neurology Authors: Daniele Botta Karl-Olof L övblad Source Type: research
Neuro-imaging and Neurodegeneration
Neurodegener Dis. 2024 Jan 31. doi: 10.1159/000536438. Online ahead of print.ABSTRACTIn this letter we discuss the use of neuroimaging techniques for patients to be included in new treatments for neurodegenerative diseases.PMID:38295783 | DOI:10.1159/000536438 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - January 31, 2024 Category: Neurology Authors: Daniele Botta Karl-Olof L övblad Source Type: research
Neuro-imaging and Neurodegeneration
Neurodegener Dis. 2024 Jan 31. doi: 10.1159/000536438. Online ahead of print.ABSTRACTIn this letter we discuss the use of neuroimaging techniques for patients to be included in new treatments for neurodegenerative diseases.PMID:38295783 | DOI:10.1159/000536438 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - January 31, 2024 Category: Neurology Authors: Daniele Botta Karl-Olof L övblad Source Type: research
Neuro-imaging and Neurodegeneration
Neurodegener Dis. 2024 Jan 31. doi: 10.1159/000536438. Online ahead of print.ABSTRACTIn this letter we discuss the use of neuroimaging techniques for patients to be included in new treatments for neurodegenerative diseases.PMID:38295783 | DOI:10.1159/000536438 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - January 31, 2024 Category: Neurology Authors: Daniele Botta Karl-Olof L övblad Source Type: research
Neuro-imaging and Neurodegeneration
Neurodegener Dis. 2024 Jan 31. doi: 10.1159/000536438. Online ahead of print.ABSTRACTIn this letter we discuss the use of neuroimaging techniques for patients to be included in new treatments for neurodegenerative diseases.PMID:38295783 | DOI:10.1159/000536438 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - January 31, 2024 Category: Neurology Authors: Daniele Botta Karl-Olof L övblad Source Type: research
