Image 1_Identification of routine blood derived hematological and lipid indices in ILD through machine learning; a retrospective case-control study.tif حسب Lichen Zhu (22399222)

"…We collected clinical information, complete blood count data, lipid metabolism indicators, and various derived indices.…"

Table 2_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx حسب Rabie Adel El Arab (14113425)

"…</p>Ethical implications<p>Simultaneously, nurses voiced significant ethical concerns—chiefly around safeguarding patient data privacy, mitigating algorithmic bias, and preserving the compassionate, human-centered essence of nursing in an increasingly automated environment.…"

Table 4_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx حسب Rabie Adel El Arab (14113425)

"…</p>Ethical implications<p>Simultaneously, nurses voiced significant ethical concerns—chiefly around safeguarding patient data privacy, mitigating algorithmic bias, and preserving the compassionate, human-centered essence of nursing in an increasingly automated environment.…"

Table 3_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx حسب Rabie Adel El Arab (14113425)

"…</p>Ethical implications<p>Simultaneously, nurses voiced significant ethical concerns—chiefly around safeguarding patient data privacy, mitigating algorithmic bias, and preserving the compassionate, human-centered essence of nursing in an increasingly automated environment.…"

Table 1_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx حسب Rabie Adel El Arab (14113425)

"…</p>Ethical implications<p>Simultaneously, nurses voiced significant ethical concerns—chiefly around safeguarding patient data privacy, mitigating algorithmic bias, and preserving the compassionate, human-centered essence of nursing in an increasingly automated environment.…"

Supplementary file 1_Using machine learning to identify key predictors of maternal success in sheep for improved lamb survival.docx حسب Ebru Emsen (21084041)

"…<p>This study investigates key physiological, genetic, and environmental factors influencing maternal success in sheep to enhance lamb survival and maternal quality. Using data from native and crossbred prolific ewes in a high-altitude, cold-climate region, we applied machine learning models to predict mothering scores based on dam characteristics, birth conditions, and lamb attributes. …"

Image 3_Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC.tif حسب Han Gao (486886)

"…Functional validation through colony formation and Transwell assays confirmed the tumor-suppressive effects of key model genes.</p>Results<p>Given the high correlation between T cell-Related Ubiquitination genes and the prognosis of OSCC patients, a prognostic model based on patient scRNA-seq data was constructed and validated. …"

Image 2_Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC.tif حسب Han Gao (486886)

"…Functional validation through colony formation and Transwell assays confirmed the tumor-suppressive effects of key model genes.</p>Results<p>Given the high correlation between T cell-Related Ubiquitination genes and the prognosis of OSCC patients, a prognostic model based on patient scRNA-seq data was constructed and validated. …"

Image 1_Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC.tif حسب Han Gao (486886)

"…Functional validation through colony formation and Transwell assays confirmed the tumor-suppressive effects of key model genes.</p>Results<p>Given the high correlation between T cell-Related Ubiquitination genes and the prognosis of OSCC patients, a prognostic model based on patient scRNA-seq data was constructed and validated. …"

Table 1_Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC.docx حسب Han Gao (486886)

"…Functional validation through colony formation and Transwell assays confirmed the tumor-suppressive effects of key model genes.</p>Results<p>Given the high correlation between T cell-Related Ubiquitination genes and the prognosis of OSCC patients, a prognostic model based on patient scRNA-seq data was constructed and validated. …"

Image 4_Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC.tif حسب Han Gao (486886)

"…Functional validation through colony formation and Transwell assays confirmed the tumor-suppressive effects of key model genes.</p>Results<p>Given the high correlation between T cell-Related Ubiquitination genes and the prognosis of OSCC patients, a prognostic model based on patient scRNA-seq data was constructed and validated. …"

Image 6_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif حسب Wuyuan Liao (21776432)

"…We first screened immunosuppression-related genes (ISRGs) that might interfere with TMB's predictive role by analyzing the survival data and gene expression profiles of patients. Using LASSO regression and multivariable Cox proportional hazards analysis, we constructed a risk model based on these ISRGs. …"

Table 1_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.xlsx حسب Wuyuan Liao (21776432)

"…We first screened immunosuppression-related genes (ISRGs) that might interfere with TMB's predictive role by analyzing the survival data and gene expression profiles of patients. Using LASSO regression and multivariable Cox proportional hazards analysis, we constructed a risk model based on these ISRGs. …"

Image 4_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif حسب Wuyuan Liao (21776432)

"…We first screened immunosuppression-related genes (ISRGs) that might interfere with TMB's predictive role by analyzing the survival data and gene expression profiles of patients. Using LASSO regression and multivariable Cox proportional hazards analysis, we constructed a risk model based on these ISRGs. …"

Image 7_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif حسب Wuyuan Liao (21776432)

"…We first screened immunosuppression-related genes (ISRGs) that might interfere with TMB's predictive role by analyzing the survival data and gene expression profiles of patients. Using LASSO regression and multivariable Cox proportional hazards analysis, we constructed a risk model based on these ISRGs. …"

Image 9_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif حسب Wuyuan Liao (21776432)

"…We first screened immunosuppression-related genes (ISRGs) that might interfere with TMB's predictive role by analyzing the survival data and gene expression profiles of patients. Using LASSO regression and multivariable Cox proportional hazards analysis, we constructed a risk model based on these ISRGs. …"

Image 2_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif حسب Wuyuan Liao (21776432)

"…We first screened immunosuppression-related genes (ISRGs) that might interfere with TMB's predictive role by analyzing the survival data and gene expression profiles of patients. Using LASSO regression and multivariable Cox proportional hazards analysis, we constructed a risk model based on these ISRGs. …"

Image 10_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif حسب Wuyuan Liao (21776432)

"…We first screened immunosuppression-related genes (ISRGs) that might interfere with TMB's predictive role by analyzing the survival data and gene expression profiles of patients. Using LASSO regression and multivariable Cox proportional hazards analysis, we constructed a risk model based on these ISRGs. …"

Image 1_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif حسب Wuyuan Liao (21776432)

"…We first screened immunosuppression-related genes (ISRGs) that might interfere with TMB's predictive role by analyzing the survival data and gene expression profiles of patients. Using LASSO regression and multivariable Cox proportional hazards analysis, we constructed a risk model based on these ISRGs. …"

Image 3_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif حسب Wuyuan Liao (21776432)

"…We first screened immunosuppression-related genes (ISRGs) that might interfere with TMB's predictive role by analyzing the survival data and gene expression profiles of patients. Using LASSO regression and multivariable Cox proportional hazards analysis, we constructed a risk model based on these ISRGs. …"