Genetics

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

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A deep learning based method for automatic analysis of high-throughput droplet digital PCR images.

Droplet digital PCR (ddPCR) is a technique for absolute quantification of nucleic acid molecules and...

Optimizing variant-specific therapeutic SARS-CoV-2 decoys using deep-learning-guided molecular dynamics simulations.

Treatment of COVID-19 with a soluble version of ACE2 that binds to SARS-CoV-2 virions before they en...

Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network.

Existing warfarin dose prediction algorithms based on pharmacogenetics and clinical parameters have ...

Deep learning in regulatory genomics: from identification to design.

Genomics and deep learning are a natural match since both are data-driven fields. Regulatory genomic...

Finding the sweet spot: a qualitative study exploring patients' acceptability of chatbots in genetic service delivery.

Chatbots, web-based artificial intelligence tools that simulate human conversation, are increasingly...

Deep learning prediction of pathological complete response, residual cancer burden, and progression-free survival in breast cancer patients.

The goal of this study was to employ novel deep-learning convolutional-neural-network (CNN) to predi...

Deep Learning With Radiogenomics Towards Personalized Management of Gliomas.

A state-of-the-art interdisciplinary survey on multi-modal radiogenomic approaches is presented invo...

Using machine learning to predict the effects and consequences of mutations in proteins.

Machine and deep learning approaches can leverage the increasingly available massive datasets of pro...

Pressure optimization for hydraulic-electric hybrid biped robot power unit based on genetic algorithm.

Biped robots have attracted increasing attention because of their flexible movement and strong adapt...

Artificial intelligence-based recognition for variant pathogenicity of BRCA1 using AlphaFold2-predicted structures.

With the surge of the high-throughput sequencing technologies, many genetic variants have been ident...

Artificial intelligence-based multi-omics analysis fuels cancer precision medicine.

With biotechnological advancements, innovative omics technologies are constantly emerging that have ...

Mateverse, the Future Materials Science Computation Platform Based on Metaverse.

Currently, computational materials science involves human-computer interaction through coding in sof...

Prediction of designer-recombinases for DNA editing with generative deep learning.

Site-specific tyrosine-type recombinases are effective tools for genome engineering, with the first ...

Predicting Genetic Disorder and Types of Disorder Using Chain Classifier Approach.

Genetic disorders are the result of mutation in the deoxyribonucleic acid (DNA) sequence which can b...

Rapid Detection of SARS-CoV-2 RNA in Human Nasopharyngeal Specimens Using Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms.

A rapid and cost-effective method to detect the infection of SARS-CoV-2 is fundamental to mitigating...

Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation.

Human behaviour is a dense longitudinal multi-featured measure that directly impacts the health of i...

Application of machine learning on understanding biomolecule interactions in cellular machinery.

Machine learning (ML) applications have become ubiquitous in all fields of research including protei...

Dicentric chromosome assay using a deep learning-based automated system.

The dicentric chromosome assay is the "gold standard" in biodosimetry for estimating radiation expos...

Mechano-fluorescence actuation in single synaptic vesicles with a DNA framework nanomachine.

Biomimetic machines that can convert mechanical actuation to adaptive coloration in a manner analogo...

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