Genetics

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

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Recent advances in omics and the integration of multi-omics in osteoarthritis research.

Osteoarthritis (OA) is a complex disorder driven by the combination of environmental and genetic fac...

AI designed, mutation resistant broad neutralizing antibodies against multiple SARS-CoV-2 strains.

In this study, we developed a digital twin for SARS-CoV-2 by integrating diverse data and metadata w...

Assessing large language model performance related to aging in genetic conditions.

Most genetic conditions are described in pediatric populations, leaving a gap in understanding their...

Multi-objective optimization framework to plan laser ablation procedure for prostate tumors through a genetic algorithm.

BACKGROUND AND OBJECTIVES: Prostate cancer is the most common form of cancer in the male population....

Evolutionary Dynamics and Functional Differences in Clinically Relevant Pen β-Lactamases from spp.

Antimicrobial resistance (AMR) is a global threat, with species contributing significantly to diffi...

Artificial intelligence in clinical genetics: current practice and attitudes among the clinical genetics workforce.

PURPOSE: Artificial intelligence (AI) applications for clinical genetics hold the potential to impro...

scCompass: An Integrated Multi-Species scRNA-seq Database for AI-Ready.

Emerging single-cell sequencing technology has generated large amounts of data, allowing analysis of...

Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci.

To compare the comprehensive performance of conventional logistic regression (LR) and seven machine ...

Integrating genetic variation with deep learning provides context for variants impacting transcription factor binding during embryogenesis.

Understanding how genetic variation impacts transcription factor (TF) binding remains a major challe...

Modality-Aware Discriminative Fusion Network for Integrated Analysis of Brain Imaging Genomics.

Mild cognitive impairment (MCI) represents an early stage of Alzheimer's disease (AD), characterized...

Neural Network Circuits for Bionic Associative Memory and Temporal Order Memory Based on DNA Strand Displacement.

Pavlovian associative memory plays an important role in our daily life and work. The realization of ...

ProFun-SOM: Protein Function Prediction for Specific Ontology Based on Multiple Sequence Alignment Reconstruction.

Protein function prediction is crucial for understanding species evolution, including viral mutation...

GRACE: Unveiling Gene Regulatory Networks With Causal Mechanistic Graph Neural Networks in Single-Cell RNA-Sequencing Data.

Reconstructing gene regulatory networks (GRNs) using single-cell RNA sequencing (scRNA-seq) data hol...

Forecasting optimal treatments in relapsed/refractory mature T- and NK-cell lymphomas: A global PETAL Consortium study.

There is no standard of care in relapsed/refractory T-cell/natural killer-cell lymphomas. Patients o...

Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy.

Anoikis and immune cell infiltration are pivotal factors in the pathophysiological mechanism of diab...

Ge-SAND: an explainable deep learning-driven framework for disease risk prediction by uncovering complex genetic interactions in parallel.

BACKGROUND: Accurate genetic risk prediction and understanding the mechanisms underlying complex dis...

Advancement in early diagnosis of polycystic ovary syndrome: biomarker-driven innovative diagnostic sensor.

Polycystic ovary syndrome (PCOS) is a heterogeneous multifactorial endocrine disorder that affects o...

Predicting Gene Comutation of EGFR and TP53 by Radiomics and Deep Learning in Patients With Lung Adenocarcinomas.

PURPOSE: This study was designed to construct progressive binary classification models based on radi...

Optimization and application of genome prediction model in rapeseed: flowering time, yield components, and oil content as examples.

Rapeseed is the second largest oilseed crop in the world with short domestication and breeding histo...

Statistical algorithms for the analysis of deleterious genetic mutations.

We present algorithms for model selection and parameter estimation concerning deleterious genetic mu...

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