Latest AI and machine learning research in genetics for healthcare professionals.
Adaptive Curriculum Sequencing (ACS) is essential for personalized online learning, yet current approaches struggle to balance complex educational constraints and maintain optimization stability. This paper proposes a Memetic Walrus Optimizer (MWO) that enhances optimization performance through three key innovations: (1) an expert-guided strategy with aging mechanism that improves escape from lo...
RNA interference (RNAi) has emerged as a transformative approach for cancer therapy, enabling precise gene silencing through small interfering RNA (siRNA). However, the clinical application of siRNA-based treatments faces challenges such as rapid degradation, inefficient cellular uptake, and immune system clearance. Nanotechnology-enhanced siRNA delivery has revolutionized cancer therapy by addres...
Motivation: Spliced alignment refers to the alignment of messenger RNA (mRNA) or protein sequences to eukaryotic genomes. It plays a critical role i...
Despite the widespread adoption of transformers in medical applications, the exploration of multi-scale learning through transformers remains limite...
In this study, we propose a robust methodology for identification of myeloid blasts followed by prediction of genetic mutation in single-cell images...
With the rise of small interfering RNA (siRNA) as a therapeutic tool, effective siRNA design is crucial. Current methods often emphasize sequence-rela...
Non-ribosomal peptides (NRPs) are promising lead compounds for novel antibiotics. Bioinformatic mining of silent microbial NRPS gene clusters provide ...
Staphylococcus aureus (S. aureus) is the leading risk factor for food safety and human health. Herein, a novel wavelength-selective machine learning -...
Explainable ML algorithms are designed to provide transparency and insight into their decision-making process. Explaining how ML models come to thei...
Breast cancer remains a leading cause of cancer-related mortality worldwide, making early detection and accurate treatment response monitoring criti...
Background: Radiation-induced leukopenia caused by low-dose exposure is frequently associated with Traditional Chinese Medicine (TCM) syndromes like...
Hypoxia and lactate metabolism are both distinctive characteristics of cancerous cells. Head and neck squamous cell carcinoma (HNSCC) is one of the mo...
Single-cell RNA-sequencing (scRNA-seq) coupled with robust computational analysis facilitates the characterization of phenotypic heterogeneity within ...
Raw signal genome analysis (RSGA) has emerged as a promising approach to enable real-time genome analysis by directly analyzing raw electrical signa...
Genomic language models (gLMs) show potential for generating novel, functional DNA sequences for synthetic biology, but doing so requires them to le...
Intervertebral discs are avascular and maintain immune privilege. However, during intervertebral disc degeneration (IDD), this barrier is disrupted,...
Aegilops tauschii Coss., a progenitor of bread wheat, is an important wild genetic resource for breeding. The species comprises three genetically defi...
Genome-resolved metagenomics is a computational method that enables researchers to reconstruct microbial genomes from a given sample directly. This pr...
Despite recent advances in video generation, existing models still lack fine-grained controllability, especially for multi-subject customization wit...
How can we generate an image B' that satisfies A:A'::B:B', given the input images A,A' and B? Recent works have tackled this challenge through appro...