Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Artificial Intelligence and Hypertension: Recent Advances and Future Outlook.

Prevention and treatment of hypertension (HTN) are a challenging public health problem. Recent evide...

Nov 2020 32615586
Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning.

BACKGROUND: Accurate diagnostic strategies to identify SARS-CoV-2 positive individuals rapidly for m...

Nov 2020 32821907
Expert-level segmentation using deep learning for volumetry of polycystic kidney and liver.

PURPOSE: Volumetry is used in polycystic kidney and liver diseases (PKLDs), including autosomal domi...

Nov 2020 33135401
Precision medicine and artificial intelligence: overview and relevance to reproductive medicine.

Traditionally, new treatments have been developed for the population at large. Recently, large-scale...

Nov 2020 33160512
Deep learning applications to combat the dissemination of COVID-19 disease: a review.

Recent Coronavirus (COVID-19) is one of the respiratory diseases, and it is known as fast infectious...

Nov 2020 33215473
Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning.

BACKGROUND: Identifying genetic mutations in cancer patients have been increasingly important becaus...

Oct 2020 33177794
Gene set analysis methods for the functional interpretation of non-mRNA data-Genomic range and ncRNA data.

Gene set analysis (GSA) is one of the methods of choice for analyzing the results of current omics s...

Sep 2020 31612220
Deep learning based prediction of reversible HAT/HDAC-specific lysine acetylation.

Protein lysine acetylation regulation is an important molecular mechanism for regulating cellular pr...

Sep 2020 32978618
A Machine Learning Approach for the Automated Interpretation of Plasma Amino Acid Profiles.

BACKGROUND: Plasma amino acid (PAA) profiles are used in routine clinical practice for the diagnosis...

Sep 2020 32870990
TMLRpred: A machine learning classification model to distinguish reversible EGFR double mutant inhibitors.

The EGFR is a clinically important therapeutic drug target in lung cancer. The first-generation tyro...

Sep 2020 33058464
Prediction of survival rate and effect of drugs on cancer patients with somatic mutations of genes: An AI-based approach.

The causal role of somatic mutation and its interrelationship with gene expression profile during tu...

Sep 2020 33058465
Anti-inflammatory and antibacterial activities of P. petiolosa (Christ) Ching ethyl acetate extract against S. aureus in mice.

P. petiolosa as a typical Chinese herbal medicine has been generally utilized as Chinese native medi...

Sep 2020 33824112
AI on a chip.

Artificial intelligence (AI) has dramatically changed the landscape of science, industry, defence, a...

Aug 2020 32644061
[Synergistic drug combination prediction in multi-input neural network].

Synergistic effects of drug combinations are very important in improving drug efficacy or reducing d...

Aug 2020 32840085
Study on the differentially expressed genes and signaling pathways in dermatomyositis using integrated bioinformatics method.

Dermatomyositis is a common connective tissue disease. The occurrence and development of dermatomyos...

Aug 2020 32846838
Prediction of immune checkpoint inhibition with immune oncology-related gene expression in gastrointestinal cancer using a machine learning classifier.

Immune checkpoint inhibitors (ICIs) have revolutionized the therapeutic landscape of gastrointestina...

Aug 2020 32792359
A refined cell-of-origin classifier with targeted NGS and artificial intelligence shows robust predictive value in DLBCL.

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous entity of B-cell lymphoma. Cell-of-origin (...

Jul 2020 32722783
DeepCLIP: predicting the effect of mutations on protein-RNA binding with deep learning.

Nucleotide variants can cause functional changes by altering protein-RNA binding in various ways tha...

Jul 2020 32558887
Machine learning and statistical methods for clustering single-cell RNA-sequencing data.

UNLABELLED: Single-cell RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole-tr...

Jul 2020 31243426
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