AIMC Topic: Machine Learning

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Aging associated immunosenescence in rheumatoid arthritis identified by machine learning and single cell profiling.

Scientific reports
Rheumatoid arthritis (RA) is increasingly prevalent among older adults, who often experience more severe symptoms and face significant treatment challenges. This study aims to identify specific genes associated with aging in RA and to analyze their i...

Multi-kernel inception-enhanced vision transformer for plant leaf disease recognition.

Scientific reports
The timely and precise identification of diseases in plants is essential for efficient disease control and safeguarding of crops. Manual identification of diseases requires expert knowledge in the field, and finding people with domain knowledge is ch...

Discovery of CRISPR-Cas12a clades using a large language model.

Nature communications
CRISPR-Cas systems revolutionize life science. Metagenomes contain millions of unknown Cas proteins. Traditional mining relies on protein sequence alignments. In this work, we employ an evolutionary scale language model (ESM) to learn the information...

Developing a hybrid machine learning model to predict treatment time duration as a workflow regulation tool in public and private dental clinics.

Scientific reports
This study aimed to design a desktop application that implements machine learning algorithms to predict dental treatment time durations, assess the accuracy of the model, and assess its clinical efficiency. The Python programming language was used to...

Identification and analysis of the endoplasmic reticulum stress hub genes in sepsis-associated ARDS.

Scientific reports
Acute respiratory distress syndrome (ARDS) is one of the most common and serious complications in the development of sepsis. Endoplasmic reticulum stress (ERS) plays an important role in the pathophysiologic process of sepsis-associated ARDS. The aim...

Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus.

Journal of nanobiotechnology
Biosimilar artificial mucus models that mimic native mucus facilitate efficient, lab-based drug diffusion studies, addressing the costly and challenging preclinical phase of drug development, especially for nano- and micro-scale particle-based coloni...

Increasing pathogenic germline variant diagnosis rates in precision medicine: current best practices and future opportunities.

Human genomics
The accurate diagnosis of pathogenic variants is essential for effective clinical decision making within precision medicine programs. Despite significant advances in both the quality and quantity of molecular patient data, diagnostic rates remain sub...

Research on the synergistic prediction of the suitable distribution and chemical components of Panax Notoginseng under the background of climate warming.

BMC plant biology
Panax notoginseng is a well-known research species in China. The issue of continuous crop barriers has led to a reduction in suitable habitats in Wenshan. In the context of global warming, it is far from adequate to merely predict the suitability dis...

Near viewing behaviors predict educational system in a machine learning model.

Scientific reports
Intensive education systems are believed to contribute to high rates of myopia. This study examined whether near-viewing behaviors in college students differ based on their pre-college educational systems and whether these behaviors can be used to cl...