Genetics

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

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Is AI essential? Examining the need for deep learning in image-activated sorting of .

Artificial intelligence (AI) has become a focal point across a multitude of societal sectors, with s...

Embryonic cranial cartilage defects in the Fgfr3 mouse model of achondroplasia.

Achondroplasia, the most common chondrodysplasia in humans, is caused by one of two gain of function...

DeepMethylation: a deep learning based framework with GloVe and Transformer encoder for DNA methylation prediction.

DNA methylation is a crucial topic in bioinformatics research. Traditional wet experiments are usual...

Analysis of Prospective Genetic Indicators for Prenatal Exposure to Arsenic in Newborn Cord Blood of Using Machine Learning.

Using a machine learning methods, we aim to find biological effect biomarkers of prenatal arsenic ex...

Deep Learning Can Predict Bevacizumab Therapeutic Effect and Microsatellite Instability Directly from Histology in Epithelial Ovarian Cancer.

Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic cancers, ...

Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning.

Tumor mutation burden (TMB) is a potential biomarker for evaluating the prognosis and response to im...

Elaborating the potential of Artificial Intelligence in automated CAR-T cell manufacturing.

This paper discusses the challenges of producing CAR-T cells for cancer treatment and the potential ...

Using ChatGPT to predict the future of personalized medicine.

Personalized medicine is a novel frontier in health care that is based on each person's unique genet...

An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data.

BACKGROUND: The ability to accurately predict essential genes intolerant to loss-of-function (LOF) m...

Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method.

Severe asthma is a chronic inflammatory airway disease with great therapeutic challenges. Understand...

Accelerating the characterization of dynamic DNA origami devices with deep neural networks.

Mechanical characterization of dynamic DNA nanodevices is essential to facilitate their use in appli...

New deep learning-based methods for visualizing ecosystem properties using environmental DNA metabarcoding data.

Environmental DNA (eDNA) metabarcoding provides an efficient approach for documenting biodiversity p...

Precision epigenetics provides a scalable pathway for improving coronary heart disease care globally.

Coronary heart disease (CHD) is the world's leading cause of death. Up to 90% of all CHD deaths are ...

A self-supervised deep learning method for data-efficient training in genomics.

Deep learning in bioinformatics is often limited to problems where extensive amounts of labeled data...

TidyTron: Reducing lab waste using validated wash-and-reuse protocols for common plasticware in Opentrons OT-2 lab robots.

Every year biotechnology labs generate a combined total of ∼5.5 million tons of plastic waste. As th...

COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador.

The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many casualties wor...

Deep-Cloud: A Deep Neural Network-Based Approach for Analyzing Differentially Expressed Genes of RNA-seq Data.

Presently, the field of analyzing differentially expressed genes (DEGs) of RNA-seq data is still in ...

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