Genetics

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

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A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning.

The emergence of Deep Learning provides an opportunity for traffic flow prediction. However, uncerta...

ConsensuSV-ONT - A modern method for accurate structural variant calling.

Improvements in sequencing technology make the development of new tools for detection of structural ...

Nystagmus in Clinical Practice: From Diagnosis to Treatment-A Comprehensive Review.

Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morb...

High-Resolution Spatial Profiling of Microglia Reveals Proximity Associated Immunometabolic Reprogramming in Alzheimer's Disease.

Single-cell RNA sequencing has demonstrated that the presence of parenchymal amyloid plaques and int...

Improved Prediction Accuracy for Late-Onset Preeclampsia Using cfRNA Profiles: A Comparative Study of Marker Selection Strategies.

: Late-onset pre-eclampsia (LO-PE) remains difficult to predict because placental angiogenic markers...

Aberrant formation of the neutrophil extracellular trap and the expression of the PLEKHA1 in systemic lupus erythematosus and ulcerative colitis.

Systemic lupus erythematosus (SLE) and ulcerative colitis (UC) are both chronic autoimmune diseases ...

Emerging strategies to develop novel genetically encoded biosensors.

The current biosensor inventory is inadequate for the multitude of metabolites and proteins needing ...

Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics.

Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clini...

3D-ΔΔG: A Dual-Channel Prediction Model for Protein-Protein Binding Affinity Changes Following Mutation Based on Protein 3D Structures.

Protein-protein interactions are crucial for cellular regulation, antigen-antibody interactions, and...

Distinguishing critical microbial community shifts from normal temporal variability in human and environmental ecosystems.

Differentiating significant microbial community changes from normal fluctuations is vital for unders...

Integrating Network Analysis and Machine Learning to Elucidate Chemical-Induced Pancreatic Toxicity in Zebrafish Embryos.

Zebrafish (Danio rerio) are a popular vertebrate model for high-throughput toxicity testing, serving...

Advances in Microbial Alkaline Proteases: Addressing Industrial Bottlenecks Through Genetic and Enzyme Engineering.

Microbial alkaline proteases are versatile enzymes chiefly employed in various industrial sectors, v...

Methodological opportunities in genomic data analysis to advance health equity.

The causes and consequences of inequities in genomic research and medicine are complex and widesprea...

A computed tomography-based radiomics prediction model for BRAF mutation status in colorectal cancer.

PURPOSE: The aim of this study was to develop and validate CT venous phase image-based radiomics to ...

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