Genetics

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

Genomic variant interpretation is a critical step of the diagnostic procedure, often supported by th...

Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN.

Effective and timely antibiotic treatment depends on accurate and rapid in silico antimicrobial-resi...

Predictive classification of Alzheimer's disease using brain imaging and genetic data.

For now, Alzheimer's disease (AD) is incurable. But if it can be diagnosed early, the correct treatm...

Protein-DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data.

With the development of artificial intelligence (AI) technologies and the availability of large amou...

Construction of genetic classification model for coronary atherosclerosis heart disease using three machine learning methods.

BACKGROUND: Although the diagnostic method for coronary atherosclerosis heart disease (CAD) is const...

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots.

The emergence of the recent SARS-CoV-2 global health crisis introduced key challenges for epidemiolo...

Methods to Improve Molecular Diagnosis in Genomic Cold Cases in Pediatric Neurology.

During the last decade, genetic testing has emerged as an important etiological diagnostic tool for ...

GestaltMatcher facilitates rare disease matching using facial phenotype descriptors.

Many monogenic disorders cause a characteristic facial morphology. Artificial intelligence can suppo...

Exploring the Study of miR-1301 Inhibiting the Proliferation and Migration of Squamous Cell Carcinoma YD-38 Cells through PI3K/AKT Pathway under Deep Learning Medical Images.

With the rapid development and application of deep learning medical image recognition, natural langu...

GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome.

MOTIVATION: DNA N6-methyladenine (6mA) is a pivotal DNA modification for various biological processe...

A bibliometric review of peripartum cardiomyopathy compared to other cardiomyopathies using artificial intelligence and machine learning.

As developments in artificial intelligence and machine learning become more widespread in healthcare...

PhageLeads: Rapid Assessment of Phage Therapeutic Suitability Using an Ensemble Machine Learning Approach.

The characterization of therapeutic phage genomes plays a crucial role in the success rate of phage ...

Analyzing the Effect of Vaccination Over COVID Cases and Deaths in Asian Countries Using Machine Learning Models.

Coronavirus Disease 2019 (COVID-19) is spreading across the world, and vaccinations are running para...

Analysis of the Complete Plastomes of 31 Species of Group: Insights Into Their Comparative Genomics and Phylogenetic Relationships.

is a genus in Apocynaceae-Asclepiadoideae, known for its showy wax flowers, making it a popular orn...

Good quality practices for artificial intelligence in genetics.

CVDF DYNAMIC-A Dynamic Fuzzy Testing Sample Generation Framework Based on BI-LSTM and Genetic Algorithm.

As one of the most effective methods of vulnerability mining, fuzzy testing has scalability and comp...

Comparison of the Chloroplast Genome Sequences of 13 Oil-Tea Camellia Samples and Identification of an Undetermined Oil-Tea Camellia Species From Hainan Province.

The comparison of chloroplast genome (cpDNA) sequences among different plant species is an important...

Genetic algorithm based artificial neural network and partial least squares regression methods to predict of breakdown voltage for transformer oils samples in power industry using ATR-FTIR spectroscopy.

The current study proposes a novel analytical method for calculating the breakdown voltage (BV) of t...

Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases.

PURPOSE: Non-small cell lung cancer (NSCLC) tends to metastasize to the brain. Between 10 and 60% of...

GSVMA: A Genetic Support Vector Machine ANOVA Method for CAD Diagnosis.

BACKGROUND: Coronary artery disease (CAD) is one of the crucial reasons for cardiovascular mortality...

Inferring protein expression changes from mRNA in Alzheimer's dementia using deep neural networks.

Identifying the molecular systems and proteins that modify the progression of Alzheimer's disease an...