Genetics

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

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Modular Spiking Neural Membrane Systems for Image Classification.

A variant of membrane computing models called Spiking Neural P systems (SNP systems) closely mimics ...

DeePNAP: A Deep Learning Method to Predict Protein-Nucleic Acid Binding Affinity from Their Sequences.

Predicting the protein-nucleic acid (PNA) binding affinity solely from their sequences is of paramou...

scFSNN: a feature selection method based on neural network for single-cell RNA-seq data.

While single-cell RNA sequencing (scRNA-seq) allows researchers to analyze gene expression in indivi...

Artificial intelligence measured 3D body composition to predict pathological response in rectal cancer patients.

BACKGROUND: The treatment of locally advanced rectal cancer (LARC) is moving towards total neoadjuva...

Machine learning to predict continuous protein properties from binary cell sorting data and map unseen sequence space.

Proteins are a diverse class of biomolecules responsible for wide-ranging cellular functions, from c...

Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality.

Genome-scale metabolic models are powerful tools for understanding cellular physiology. Flux balance...

A deep learning model of tumor cell architecture elucidates response and resistance to CDK4/6 inhibitors.

Cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6is) have revolutionized breast cancer therapy. How...

An Improved Clinical and Genetics-Based Prediction Model for Diabetic Foot Ulcer Healing.

The goal of this investigation was to use comprehensive prediction modeling tools and available gen...

BiPSTP: Sequence feature encoding method for identifying different RNA modifications with bidirectional position-specific trinucleotides propensities.

RNA modification, a posttranscriptional regulatory mechanism, significantly influences RNA biogenesi...

Enhancing Generalizability in Protein-Ligand Binding Affinity Prediction with Multimodal Contrastive Learning.

Improving the generalization ability of scoring functions remains a major challenge in protein-ligan...

bioactivities and enzyme interactions of abietatrien-3-ol by bio-guided isolation from subsp. .

Abietatrien-3-ol (ATO) was isolated from the aerial part of the subsp. methanol-chloroform extract...

Recognition of Genetic Conditions After Learning With Images Created Using Generative Artificial Intelligence.

IMPORTANCE: The lack of standardized genetics training in pediatrics residencies, along with a short...

The role of cell-free DNA biomarkers and patient data in the early prediction of preeclampsia: an artificial intelligence model.

BACKGROUND: Accurate individualized assessment of preeclampsia risk enables the identification of pa...

Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides.

INTRODUCTION: Antimicrobial peptides (AMPs) are valuable alternatives to traditional antibiotics, po...

Artificial replication cohort: Leveraging AI-fabricated data for genetic studies.

Recent advancements in artificial intelligence (AI) present both opportunities and challenges within...

Interpretable Multi-Scale Deep Learning for RNA Methylation Analysis across Multiple Species.

RNA modification plays a crucial role in cellular regulation. However, traditional high-throughput s...

Development of a deep learning model to distinguish the cause of optic disc atrophy using retinal fundus photography.

The differential diagnosis for optic atrophy can be challenging and requires expensive, time-consumi...

Identification and segregation of genes with improved recurrent neural network trained with optimal gene level and mutation level features.

Even though many different approaches have been employed to address the complex mutational heterogen...

GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learning.

RNA modification, N4-acetylcytidine (ac4C), is enzymatically catalyzed by N-acetyltransferase 10 (NA...

Comparing robotic and manual injection methods in zebrafish embryos for high-throughput RNA silencing using CRISPR-RfxCas13d.

In this study, the authors compared the efficiency of automated robotic and manual injection methods...

Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage.

We visualize the predictions of multiple machine learning models to help biologists as they interact...

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