Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm. حسب Mahmoudreza Moein (22127153)

Residual risk of undetected blood-borne virus infection in deceased organ donors: Residual risk visualiser website حسب Martin Dutch (6601742)

"…<p dir="ltr"><b>Risk of Unexpected Donor Infection: Quarantine Adjusted Window Period Visualisation Tool</b></p><p dir="ltr">Before donation, deceased organ donors are screened for blood-borne viruses. …"

Establishment of a senescence-related graft survival prognostic model. حسب Xihao Shen (20347942)

Construction of non-invasive diagnostic model and nomogram of AR. حسب Xihao Shen (20347942)

Features of 13 pSRGs obtained by machine learning methods. حسب Xihao Shen (20347942)

Presentation 1_De Novo donor-specific anti-HLA antibody risk stratification in kidney transplantation using a combination of B cell and T cell molecular mismatch assessment.pptx حسب Elaine Chou-Wu (19516621)

"…</p>Conclusion<p>Our findings highlight the value of utilizing B cell and T cell epitope mismatch evaluation in living donor selection and immunological risk stratification to improve transplant outcomes.…"

Schematic overview of the study workflow. حسب Yu Zhang (12946)

"…Through the application of least absolute shrinkage and selection operator (LASSO) and random forest algorithms, we identified significant genes associated with overall survival (OS). …"

Data Sheet 1_Deciphering macrophage differentiation and cell death dynamics in heart failure: a single-cell sequencing odyssey.zip حسب Jin Wei (424761)

"…Integrated differential expression analysis, protein–protein interaction network mapping, and multi-algorithm feature selection (LASSO, SVM-RFE, Random Forest) were performed, and candidate biomarkers were validated using an independent bulk RNA-seq dataset (GSE57345).…"

Data Sheet 2_Deciphering macrophage differentiation and cell death dynamics in heart failure: a single-cell sequencing odyssey.zip حسب Jin Wei (424761)

"…Integrated differential expression analysis, protein–protein interaction network mapping, and multi-algorithm feature selection (LASSO, SVM-RFE, Random Forest) were performed, and candidate biomarkers were validated using an independent bulk RNA-seq dataset (GSE57345).…"

Table 1_The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia.xlsx حسب Zhixiang Chen (23839)

"…This signature further guided therapeutic selection, with dactolisib identified as a high-risk-specific candidate. …"

Image 3_The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia.tif حسب Zhixiang Chen (23839)

"…This signature further guided therapeutic selection, with dactolisib identified as a high-risk-specific candidate. …"

Image 2_The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia.tif حسب Zhixiang Chen (23839)

"…This signature further guided therapeutic selection, with dactolisib identified as a high-risk-specific candidate. …"

Image 1_The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia.tif حسب Zhixiang Chen (23839)

"…This signature further guided therapeutic selection, with dactolisib identified as a high-risk-specific candidate. …"