AIMC Topic: Molecular Diagnostic Techniques
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Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies.
Frontiers in cellular and infection microbiology
Jan 1, 2025
Tuberculosis (TB) remains a global health challenge, with timely and accurate diagnosis being critical for effective disease management and control. Recent advancements in the field of TB diagnostics have focused on the identification and utilization...
The Evolution of Nucleic Acid-Based Diagnosis Methods from the (pre-)CRISPR to CRISPR era and the Associated Machine/Deep Learning Approaches in Relevant RNA Design.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2025
Nucleic acid tests (NATs) are considered as gold standard in molecular diagnosis. To meet the demand for onsite, point-of-care, specific and sensitive, trace and genotype detection of pathogens and pathogenic variants, various types of NATs have been...
At the Mercy of the Artificial Intelligence Algorithm: Discrepant Polymerase Chain Reaction Results.
The Journal of infectious diseases
Dec 16, 2024
As pathogen molecular diagnostics technology develops, the software analysis of polymerase chain reaction sigmoidal curves, cycle threshold (Ct) values, and the limit of nucleic acid detection for that assay is not always available when reporting tes...
A deep-learning workflow to predict upper tract urothelial carcinoma protein-based subtypes from H&E slides supporting the prioritization of patients for molecular testing.
The journal of pathology. Clinical research
Mar 1, 2024
Upper tract urothelial carcinoma (UTUC) is a rare and aggressive, yet understudied, urothelial carcinoma (UC). The more frequent UC of the bladder comprises several molecular subtypes, associated with different targeted therapies and overlapping with...
Artificial intelligence technologies empowering identification of novel diagnostic molecular markers in gastric cancer.
Indian journal of pathology & microbiology
Jun 1, 2021
In recent clinical practice the molecular diagnostics have been significantly empowered and upgraded by the use of Artificial Intelligence and its assisted technologies. The use of Machine leaning and Deep Learning Neural network architectures have b...
Machine learning and network medicine: a novel approach for precision medicine and personalized therapy in cardiomyopathies.
Journal of cardiovascular medicine (Hagerstown, Md.)
Jun 1, 2021
The early identification of pathogenic mechanisms is essential to predict the incidence and progression of cardiomyopathies and to plan appropriate preventive interventions. Noninvasive cardiac imaging such as cardiac computed tomography, cardiac mag...
Toward Improved and Standardized Diagnostic Pipelines in Transplantation.
Transplantation
Jan 1, 2021
Machine learning to detect signatures of disease in liquid biopsies - a user's guide.
Lab on a chip
Jan 30, 2018
New technologies that measure sparse molecular biomarkers from easily accessible bodily fluids (e.g. blood, urine, and saliva) are revolutionizing disease diagnostics and precision medicine. Microchip devices can measure more disease biomarkers with ...
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