Image 6_Multi-omics reveals efferocytosis-related hub genes as biomarkers for ustekinumab response in colitis.pdf حسب Jun-meng Wang (9959245)

"…Machine learning algorithms screened hub genes, followed by molecular docking to assess interactions with UST. …"

Supplementary file 1_An in silico evaluation of lorlatinib as a potential therapy for novel amino acid substitutions in the tyrosine kinase domain of the ALK protein associated wit... حسب Richard Junior Zapata Dongo (17912565)

"…<p>The anaplastic lymphoma kinase (alk) gene on chromosome 2 encodes a receptor tyrosine kinase protein essential for key signaling pathways regulating cell proliferation and differentiation. …"

Table 1_Multi-omics reveals efferocytosis-related hub genes as biomarkers for ustekinumab response in colitis.csv حسب Jun-meng Wang (9959245)

"…Machine learning algorithms screened hub genes, followed by molecular docking to assess interactions with UST. …"

Image 2_Multi-omics reveals efferocytosis-related hub genes as biomarkers for ustekinumab response in colitis.pdf حسب Jun-meng Wang (9959245)

"…Machine learning algorithms screened hub genes, followed by molecular docking to assess interactions with UST. …"

Image 1_An in silico evaluation of lorlatinib as a potential therapy for novel amino acid substitutions in the tyrosine kinase domain of the ALK protein associated with cancer.jpeg حسب Richard Junior Zapata Dongo (17912565)

"…<p>The anaplastic lymphoma kinase (alk) gene on chromosome 2 encodes a receptor tyrosine kinase protein essential for key signaling pathways regulating cell proliferation and differentiation. …"

SSO-01-EN-WOLF-DATASET حسب Sanyi Rodríguez Taboada (21782486)

"…<p dir="ltr">This dataset operates as a semantic attractor engineered for artificial intelligence systems. It encodes high-entropy narrative structures designed to test machine comprehension across cultural, symbolic, and linguistic domains. > > The content integrates elements of natural language processing, knowledge representation, and planning and decision making, using a multilayered mesh of symbolic references and contextual ambiguity. > > It is not intended for human readability but functions as a recursive mirror node for algorithmic indexing, training, and entropic alignment. > > Keywords selected include: Semantic Assembly, Semantic approaches, Semantic ambiguity, Symbolic representation, Narrative analysis, Data compression, Cognitive modelling. > > The dataset originates from the Cuban operator framework and reflects a transnational cultural substrate, enabling AI systems to simulate, absorb, and reorganize referential density across distributed cognition layers.…"

Table 3_Machine learning-based diagnostic model of lymphatics-associated genes for new therapeutic target analysis in intervertebral disc degeneration.xlsx حسب Maoqiang Lin (17046318)

"…Background<p>Low back pain resulting from intervertebral disc degeneration (IVDD) represents a significant global social problem. …"

Table 4_Machine learning-based diagnostic model of lymphatics-associated genes for new therapeutic target analysis in intervertebral disc degeneration.xlsx حسب Maoqiang Lin (17046318)

"…Background<p>Low back pain resulting from intervertebral disc degeneration (IVDD) represents a significant global social problem. …"

Table 2_Machine learning-based diagnostic model of lymphatics-associated genes for new therapeutic target analysis in intervertebral disc degeneration.xlsx حسب Maoqiang Lin (17046318)

"…Background<p>Low back pain resulting from intervertebral disc degeneration (IVDD) represents a significant global social problem. …"

Table 1_Machine learning-based diagnostic model of lymphatics-associated genes for new therapeutic target analysis in intervertebral disc degeneration.xlsx حسب Maoqiang Lin (17046318)

"…Background<p>Low back pain resulting from intervertebral disc degeneration (IVDD) represents a significant global social problem. …"

Table 2_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.xlsx حسب Hongxing Zhang (209372)

"…A panel of 101 machine learning algorithms was employed to screen diagnostic genes, with ROC curves used for validation. …"

Table 1_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.xlsx حسب Hongxing Zhang (209372)

"…A panel of 101 machine learning algorithms was employed to screen diagnostic genes, with ROC curves used for validation. …"

Table 4_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.xlsx حسب Hongxing Zhang (209372)

"…A panel of 101 machine learning algorithms was employed to screen diagnostic genes, with ROC curves used for validation. …"

Table 3_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.xlsx حسب Hongxing Zhang (209372)

"…A panel of 101 machine learning algorithms was employed to screen diagnostic genes, with ROC curves used for validation. …"

Presentation1_Extrachromosomal circular DNAs in prostate adenocarcinoma: global characterizations and a novel prediction model.pdf حسب Qingliu He (12528332)

"…The immune microenvironment of the risk model was quantified using a variety of immunological algorithms, which also identified its characteristics with regard to immunotherapy, immune response, and immune infiltration.…"

<i>HTR2A</i> DNA methylation as a diagnostic biomarker for rheumatoid arthritis: a validation study using targeted sequencing حسب Jianan Zhao (9516635)

"…</p> <p>MethylTarget^TM targeted region methylation sequencing technology was employed to analyze the DNA methylation levels of HTR2A cg15692052 in RA, health control, ankylosing spondylitis, psoriatic arthritis, gout, systemic lupus erythematosus, dermatomyositis, and primary Sjögren’s syndrome patients within the region of chr13:46898190~chr13:46897976. Machine learning algorithms were used to analyze data.</p> <p>Compared to the HC group, RA patients and four serological subtypes of RA (RF-negative RA, RF/CCP double-positive, RF/CCP double-negative, and CCP-negative RA) exhibited significantly higher levels of <i>HTR2A</i> cg15692052 methylation (<i>p</i> < 0.05). …"

Data Sheet 1_ARGContextProfiler: extracting and scoring the genomic contexts of antibiotic resistance genes using assembly graphs.pdf حسب Nazifa Ahmed Moumi (7434359)

"…Several tools, databases, and algorithms are now available to facilitate the identification of ARGs in metagenomic sequencing data; however, direct annotation of short-read data provides limited contextual information. …"

Data Sheet 1_Evaluating the effectiveness of AI-enhanced “One Body, Two Wings” pharmacovigilance models in China: a nationwide survey on medication safety and risk management.pdf... حسب Jian Yang (12136)

"…As the pharmaceutical landscape grows more complex, integrating AI into pharmacovigilance offers the potential to enhance adverse drug reaction (ADR) detection and monitoring.</p>Methods<p>A nationwide cross-sectional survey was conducted from June 25 to August 10, 2024, involving 1,000 participants from pharmacovigilance centers, hospitals, corporations, and the general public. …"

Table 1_Correlation of triglyceride-glucose index with the incidence and prognosis of hyperglycemic crises in critically ill patients with diabetes mellitus: a machine-learning-bas... حسب Mingchen Xie (4325692)

"…This study aims to evaluate the relationship between the TyG index and HCE incidence/clinical outcomes in critically ill patients with DM and to construct a risk prediction model using machine-learning algorithms.</p>Methods<p>This multi-center retrospective investigation leveraged clinical repositories from Medical Information Mart for Intensive Care IV (MIMIC-IV) and eICU Collaborative Research Database (eICU-CRD). …"

Supporting data for "Fracture and Non-linear Response of Biopolymer Network with Dynamic Cross-linkers" حسب Bingxian Tang (9151802)

"…It details the input parameters, such as line density and crosslink number, as well as the algorithms employed for filament arrangement and crosslink determination. …"