Illustration of all features correlation. by Mahade Hasan (20536430)

“…In response to this need, we applied nine machine learning algorithms XGBoost, logistic regression, decision tree, random forest, k-nearest neighbors (KNN), support vector machine (SVM), gaussian naïve bayes (NB gaussian), adaptive boosting, and linear regression to predict heart disease based on a range of physiological indicators. …”

Data Sheet 1_Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model.docx by Fuyu Guo (4588312)

“…Objective<p>To explore the value of combined radiomics and deep learning models using different machine learning algorithms based on mammography (MG) and magnetic resonance imaging (MRI) for predicting axillary lymph node metastasis (ALNM) in breast cancer (BC). …”

Data Sheet 1_Accurate informatic modeling of tooth enamel pellicle interactions by training substitution matrices with Mat4Pep.doc by Jeremy Horst Keeper (20458274)

“…We show that tooth enamel pellicle peptides contain subtle sequence similarities that encode hydroxyapatite binding mechanisms by segregating pellicle peptides from control sequences using our previously developed substitution matrix-based peptide comparison protocol with improvements. …”

Data Sheet 1_Following intravenous thrombolysis, the outcome of diabetes mellitus associated with acute ischemic stroke was predicted via machine learning.docx by Xiaoqing Liu (196900)

“…The findings underscore the effectiveness of machine learning algorithms, particularly XGB, in predicting functional outcomes in diabetic AIS patients, providing clinicians with a valuable tool for treatment planning and improving patient outcome predictions based on receiver operating characteristic (ROC) analysis and accuracy assessments.…”

Image 1_Multi-omics integration analysis based on plasma circulating proteins reveals potential therapeutic targets for ulcerative colitis.pdf by Jihai Zhou (1876561)

“…This study aims to identify potential diagnostic and therapeutic biomarkers for UC through multi-omics integrative analysis, providing new insights into its precise diagnosis and treatment.</p>Methods<p>Data samples from the Gene Expression Omnibus database and protein quantitative trait loci data from genome-wide association studies were integrated to identify overlapping genes. …”

Estilometría TIP: enhanced text analysis tool with customisable metrics for Spanish texts by Francisco J. Carreras-Riudavets (20562834)

“…However, most tools are developed for English, limiting their effectiveness for Spanish texts, which involve complex inflections. …”

Table 1_Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation.docx by Hong Chen (108084)

“…Clinical, demographic, and laboratory data were processed with rigorous quality control. …”

Table 1_Ensemble machine learning models for predicting bone metastasis in bladder cancer.docx by Zhan Jiang Yu (22081106)

“…Currently, the accurate prediction of BM in BC remains a challenge. This study develops predictive models using machine learning algorithms to predict bladder cancer bone metastasis (BCBM) and aid in personalized clinical decisions.…”

Visualized hysteroscopic artificial intelligence fertility assessment system for endometrial injury: an image-deep-learning study by Bohan Li (4869760)

“…<p>Asherman’s syndrome (AS) is a significant cause of subfertility in women from developing countries. Over 80% of AS cases in these regions are linked to dilation and curettage (D&C) procedures following pregnancy. …”

Image 3_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png by Erin McDonald (3535409)

“…These animals were categorized based on pruritic behavior or routine check-ups (non-pruritic controls).…”

Image 4_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png by Erin McDonald (3535409)

“…These animals were categorized based on pruritic behavior or routine check-ups (non-pruritic controls).…”

<b>NanoNeuroBot: Beyond Healing, Toward Human Connection</b> by ahmed hossam (21420446)

“…The research also explores development timelines, projected budgets, ethical concerns, and translational potential in both clinical and commercial applications.…”

Image 1_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png by Erin McDonald (3535409)

“…These animals were categorized based on pruritic behavior or routine check-ups (non-pruritic controls).…”

Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation by Ryo Tamura (1957942)

“…<p>The orchestration software (OS) for controlling self-driving laboratories (SDLs) has been advanced significantly in recent years. We developed NIMO (formerly NIMS-OS, NIMS Orchestration System), an OS explicitly designed to integrate multiple artificial intelligence (AI) algorithms with diverse exploratory objectives. …”

A systematic review of ionizing radiation-induced glaucoma: clinical manifestations, pathogenesis, and current treatment approaches by Anqi Wu (3413069)

“…Advancing the field will require mechanistic studies to clarify radiation-induced optic neuropathy and vascular injury, alongside well-designed trials to establish preventive strategies and evidence-based treatment algorithms.</p>…”

Supporting Data for "Intelligent prediction of steel corrosion in cementitious materials via machine learning" by Haodong Ji (11129136)

“…<p dir="ltr">This dataset is associated with the PhD thesis "Intelligent prediction of steel corrosion in cementitious materials via machine learning", which focuses on the development of data-driven and physics-informed machine learning models for predicting the corrosion behavior of steel in cementitious environments. …”

Image 5_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png by Erin McDonald (3535409)

“…These animals were categorized based on pruritic behavior or routine check-ups (non-pruritic controls).…”

Image 2_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png by Erin McDonald (3535409)

“…These animals were categorized based on pruritic behavior or routine check-ups (non-pruritic controls).…”

Table 1_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.docx by Erin McDonald (3535409)

“…These animals were categorized based on pruritic behavior or routine check-ups (non-pruritic controls).…”

Detection of Polycystic Ovarian Disease Using Probabilistic Optimum Deep Learning Feature Fusion by S. Jothimani (22173866)

“…Reformed differential evaluation (RDE) and reformed grey wolf (RGW) are two enhanced optimisation algorithms used to choose the best features; A unique probability-based serial strategy is employed to combine the best-selected attributes and categorised using deep learning techniques. …”