Genetics

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

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Showing 253-273 of 10,326 articles
Artificial Intelligence Software Changes Rare Disease Testing Strategy in Real Time: An International Case Series Using Face2Gene.

Genetic disorders commonly share features such as developmental delays, cognitive impairment, and be...

MPNN-CWExplainer: An enhanced deep learning framework for HIV drug bioactivity prediction with class-weighted loss and explainability.

AIMS: Human Immunodeficiency Virus (HIV) remains a critical global health concern due to its impact ...

Precise metabolic dependencies of cancer through deep learning and validations.

Cancer cells exhibit metabolic reprogramming to sustain proliferation, creating metabolic vulnerabil...

Advancing breast cancer prediction using blockchain-secured hybrid genetic algorithm.

Feature selection using evolutionary algorithms-a well-liked technique for choosing pertinent charac...

Large language models predict cognition and education close to or better than genomics or expert assessment.

Previous research using standard social survey data has emphasized a relative lack of power when pre...

Machine learning-based identification of wastewater treatment plant-specific microbial indicators using 16S rRNA gene sequencing.

Effluent released from municipal wastewater treatment plants reflects the microbial communities resp...

Exploring the impact of neutrophils on lung adenocarcinoma using Mendelian randomization and transcriptomic study.

Tumor immune microenvironment plays a crucial role in determining the prognosis of lung adenocarcino...

Direct Modeling of DNA and RNA Aptamers with AlphaFold 3: A Promising Tool for Predicting Aptamer Structures and Aptamer-Target Interactions.

Aptamers, single-stranded nucleic acids that fold into unique three-dimensional shapes, bind selecti...

Identification of proliferating neural progenitors in the adult human hippocampus.

Continuous adult hippocampal neurogenesis is involved in memory formation and mood regulation but is...

Deep Learning Discovers New Morphological Features while Predicting Genetic Alterations from Histopathology of Papillary Thyroid Carcinoma.

Papillary thyroid carcinoma (PTC) is the most common malignant tumor of the endocrine system. muta...

Smart-Plexer 2.0: Leveraging New Features of Amplification Curves to Enhance the Selection of Multiplex PCR Assays in Multi-Target Identification.

Multiplex PCR plays a critical role in diagnostics by enabling the detection of multiple targets in ...

Predicting RNA Structure Utilizing Attention from Pretrained Language Models.

RNA possesses functional significance that extends beyond the transport of genetic information. The ...

Genetic features for drug responses in cancer - Investigating an ensemble-feature-selection approach.

Predicting drug responses using genetic and transcriptomic features is crucial for enhancing persona...

Self-Evolving Discovery of Carrier Biomaterials with Ultra-Low Nonspecific Protein Adsorption for Single Cell Analysis.

Carrier biomaterials used in single-cell analysis face a bottleneck in protein detection sensitivity...

A review of the use of tumour DNA methylation for breast cancer subtyping and prediction of outcomes.

DNA methylation in breast tumours has been extensively studied and has provided valuable insights in...

Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types.

Breast cancer is the most prevalent and lethal form of cancer being the utmost common medical concer...

False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

As collaborative Machine Learning on cross-institutional, fully distributed networks become an impor...

DCAF13 Regulates Cell Proliferation and Immune Escape of Hepatocellular Carcinoma Through Activating the NF-κB Pathway.

Hepatocellular carcinoma (HCC), the third leading cause of global cancer deaths, has a high unmet cl...

Deep learning deciphers the related role of master regulators and G-quadruplexes in tissue specification.

G-quadruplexes (GQs) are non-canonical DNA structures encoded by G-flipons with potential roles in g...

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