Genetics

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

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Showing 673-693 of 10,365 articles
A KAN-based hybrid deep neural networks for accurate identification of transcription factor binding sites.

BACKGROUND: Predicting protein-DNA binding sites in vivo is a challenging but urgent task in many fi...

Challenges on the implementation of wastewater-based epidemiology as a prediction tool: the paradigm of SARS-CoV-2.

Wastewater Based Epidemiology (WBE) has been identified as a tool for monitoring and predicting patt...

Assessment of Bacillus cereus spoilage potential and the antibacterial mechanism of Larimichthys crocea-derived peptide SDH73 against Bacillus cereus.

This study investigated the spoilage bacteria associated with Larimichthys crocea (L. crocea) and th...

Identification of Npas4 as a biomarker for CICI by transcriptomics combined with bioinformatics and machine learning approaches.

Chemotherapy is one of the most successful strategies for treating cancer. Unfortunately, up to 70 %...

Technological advancement spurs Komagataella phaffii as a next-generation platform for sustainable biomanufacturing.

Biomanufacturing stands as a cornerstone of sustainable industrial development, necessitating a shif...

Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications.

Genetic toxicology is crucial for evaluating the potential risks of chemicals and drugs to human hea...

Integrative bioinformatics and machine learning identify key crosstalk genes and immune interactions in head and neck cancer and Hodgkin lymphoma.

Head and neck squamous cell carcinoma (HNSCC) is a highly aggressive malignancy with complex molecul...

Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence.

Acute myeloid leukemia (AML) is a severe hematological malignancy characterized by high recurrence r...

Invited Article: Al guided Dual Antiplatelet Therapy and Anticoagulation.

Artificial intelligence (AI) has emerged as a transformative tool in healthcare through data analysi...

Diagnosing migraine from genome-wide genotype data: a machine learning analysis.

Migraine has an assumed polygenic basis, but the genetic risk variants identified in genome-wide ass...

Novel approach for AI-based NO emission reduction in biological wastewater treatment relying on genetic algorithms and neural networks.

The potential of measurement-based control strategies for achieving lower NO emissions in biological...

iEnhancer-DS: Attention-based improved densenet for identifying enhancers and their strength.

Enhancers are short DNA fragments that enhance gene expression by binding to transcription factors. ...

Use of artificial intelligence to assess genetic predisposition to develop critical COVID-19 disease: a comparative study of machine learning models.

OBJECTIVES: Early prediction of critical COVID-19 disease is crucial for an optimal clinical managem...

Fluorescence-based spectrometric and imaging methods and machine learning analyses for microbiota analysis.

Most microbiota determination (skin, gut, soil, etc.) are currently conducted in a laboratory using ...

Artificial Intelligence Measured Tumor Burden and Pre-Treatment Circulating Tumor DNA in Human Papilloma Virus-Associated Oropharynx Cancer.

BACKGROUND: Artificial intelligence (AI)-based imaging analysis and circulating tumor-associated DNA...

Beyond genomics: artificial intelligence-powered diagnostics for indeterminate thyroid nodules-a systematic review and meta-analysis.

INTRODUCTION: In recent years, artificial intelligence (AI) tools have become widely studied for thy...

Semisupervised adaptive learning models for IDH1 mutation status prediction.

The mutation status of isocitrate dehydrogenase1 (IDH1) in glioma is critical information for the di...

Generative and predictive neural networks for the design of functional RNA molecules.

RNA is a remarkably versatile molecule that has been engineered for applications in therapeutics, di...

Use of polyethylene glycol precipitation and ultracentrifugation to enhance the sensitivity of hepatitis B virus DNA detection.

BACKGROUND: Sensitive molecular detection of hepatitis B virus (HBV) DNA is crucial for diagnosing a...

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