AIMC Topic: High-Throughput Nucleotide Sequencing

Clear Filters Showing 71 to 80 of 316 articles

Polishing copy number variant calls on exome sequencing data via deep learning.

Genome research Jun 13, 2022
Accurate and efficient detection of copy number variants (CNVs) is of critical importance owing to their significant association with complex genetic diseases. Although algorithms that use whole-genome sequencing (WGS) data provide stable results wit...
Algorithms High-Throughput Nucleotide Sequencing Exome Sequencing Exome Reproducibility of Results Deep Learning DNA Copy Number Variations
View on PubMed DOI

Recommendations for next generation sequencing data reanalysis of unsolved cases with suspected Mendelian disorders: A systematic review and meta-analysis.

Genetics in medicine : official journal of the American College of Medical Genetics May 14, 2022
PURPOSE: The study aimed to determine the diagnostic yield, optimal timing, and methodology of next generation sequencing data reanalysis in suspected Mendelian disorders.
Humans Artificial Intelligence High-Throughput Nucleotide Sequencing Exome Sequencing
View on PubMed DOI

Compare the performance of multiple binary classification models in microbial high-throughput sequencing datasets.

The Science of the total environment May 7, 2022
The development of machine learning and deep learning provided solutions for predicting microbiota response on environmental change based on microbial high-throughput sequencing. However, there were few studies specifically clarifying the performance...
Support Vector Machine High-Throughput Nucleotide Sequencing Machine Learning Algorithms Neural Networks, Computer Artificial Intelligence
View on PubMed DOI

Artificial intelligence to identify genetic alterations in conventional histopathology.

The Journal of pathology Apr 21, 2022
Precision oncology relies on the identification of targetable molecular alterations in tumor tissues. In many tumor types, a limited set of molecular tests is currently part of standard diagnostic workflows. However, universal testing for all targeta...
Humans Neoplasms Mutation High-Throughput Nucleotide Sequencing Artificial Intelligence Precision Medicine
View on PubMed DOI

Artificial Intelligence Technologies for COVID-19 De Novo Drug Design.

International journal of molecular sciences Mar 17, 2022
The recent covid crisis has provided important lessons for academia and industry regarding digital reorganization. Among the fascinating lessons from these times is the huge potential of data analytics and artificial intelligence. The crisis exponent...
Drug Discovery Antiviral Agents Structure-Activity Relationship SARS-CoV-2 Drug Design COVID-19 Drug Treatment Small Molecule Libraries Drug Evaluation, Preclinical Ligands Humans High-Throughput Nucleotide Sequencing Artificial Intelligence COVID-19
View on PubMed DOI

Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Advancing diagnostic testing capabilities such as clinical next generation sequencing methods offer the potential to diagnose, risk stratify, and guide specialized treatment, but must be balanced against the escalating costs of healthcare to identify...
Heme Humans High-Throughput Nucleotide Sequencing Precision Medicine Machine Learning Hematologic Neoplasms Mutation
View on PubMed

Machine learning models for accurate prioritization of variants of uncertain significance.

Human mutation Feb 19, 2022
The growing use of next-generation sequencing technologies on genetic diagnosis has produced an exponential increase in the number of variants of uncertain significance (VUS). In this manuscript, we compare three machine learning methods to classify ...
Humans High-Throughput Nucleotide Sequencing Neural Networks, Computer Machine Learning Software Support Vector Machine
View on PubMed DOI

High-throughput screening, next generation sequencing and machine learning: advanced methods in enzyme engineering.

Chemical communications (Cambridge, England) Feb 17, 2022
Enzyme engineering is an important biotechnological process capable of generating tailored biocatalysts for applications in industrial chemical conversion and biopharma. Typical enhancements sought in enzyme engineering and evolution campaigns inclu...
Protein Engineering Enzymes Machine Learning High-Throughput Nucleotide Sequencing High-Throughput Screening Assays Humans
View on PubMed DOI

A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization.

Scientific reports Feb 15, 2022
Genomic variant interpretation is a critical step of the diagnostic procedure, often supported by the application of tools that may predict the damaging impact of each variant or provide a guidelines-based classification. We propose the application o...
Computer Simulation Neoplasms Cohort Studies Genomics Genetic Predisposition to Disease Logistic Models Machine Learning Software Research Design Humans Genome, Human Genetic Variation High-Throughput Nucleotide Sequencing Bayes Theorem Practice Guidelines as Topic Genetic Testing
View on PubMed DOI

[Moving towards a personalized oncology: The contribution of genomic techniques and artificial intelligence in the use of circulating tumor biomarkers].

Bulletin du cancer Jan 13, 2022
Technological advances, in particular the development of high-throughput sequencing, have led to the emergence of a new generation of molecular biomarkers for tumors. These new tools have profoundly changed therapeutic management in oncology, with in...
Circulating Tumor DNA Immunotherapy Data Management Early Detection of Cancer Biomarkers, Tumor Humans High-Throughput Nucleotide Sequencing MicroRNAs Neoplasms Artificial Intelligence Medical Oncology Neoplastic Cells, Circulating Precision Medicine Liquid Biopsy Neoplasm Recurrence, Local
View on PubMed DOI
Popular Topics
Recent Journals