Image 2_A nomogram model to predict the high risk of lower live birth probability in young women undergoing the first IVF-ET cycle: a retrospective study.tif حسب Chang Liu (35901)

"…Objective<p>To build a prediction nomogram for early prediction of live birth probabilities according to number of oocytes retrieved in women ≤ 35 years of age.…"

Image 1_A nomogram model to predict the high risk of lower live birth probability in young women undergoing the first IVF-ET cycle: a retrospective study.jpeg حسب Chang Liu (35901)

"…Objective<p>To build a prediction nomogram for early prediction of live birth probabilities according to number of oocytes retrieved in women ≤ 35 years of age.…"

Image 3_A nomogram model to predict the high risk of lower live birth probability in young women undergoing the first IVF-ET cycle: a retrospective study.tif حسب Chang Liu (35901)

"…Objective<p>To build a prediction nomogram for early prediction of live birth probabilities according to number of oocytes retrieved in women ≤ 35 years of age.…"

Image8_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Image9_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Image4_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Image11_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellul... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Image2_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Image6_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Image1_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Image7_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Table1_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Image3_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Image5_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Image10_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellul... حسب Huipeng Fang (12587509)

"…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"

Random forest analysis. حسب Emir Matpan (21655811)

Data Sheet 1_Spatiotemporal analysis of the burden of lower respiratory infections in the older adult population due to air pollution: trends from 1990 to 2021 and predictions for... حسب Zheng Lei (2250328)

"…The burden was negatively correlated with socioeconomic development. Predictions indicate a continued decrease in LRI burden due to secondhand smoke, while the LRI burden caused by ambient particulate matter and household air pollution may experience a rebound around 2035.…"

Supplementary file 1_Predicting HIV self-testing intentions among Chinese college students: a dual-model analysis integrating health belief constructs and machine learning prioriti... حسب Yan Jiang (12139)

"…HBM-based logistic regression revealed that self-efficacy (OR = 1.64, 95% CI: 1.21-2.21) and cues to action (OR = 1.34, 1.04-1.75) were significant facilitators, contrasting with the inhibitory effects of perceived barriers (OR = 0.69, 0.55-0.86). …"

Table1_Clinical characteristics and early identification of augmented renal clearance in PICU patients with severe sepsis associated with MRSA infection.pdf حسب Haonan Wang (667218)

"…</p>Conclusion<p>ARC is a phenomenon significantly underestimated in pediatric patients with severe sepsis associated with MRSA infection, which can affect 74.9% of these patients and affects the process of anti-infection treatment and clinical outcomes. …"

Table1_Clinical characteristics and early identification of augmented renal clearance in PICU patients with severe sepsis associated with MRSA infection.pdf حسب Haonan Wang (667218)

"…</p>Conclusion<p>ARC is a phenomenon significantly underestimated in pediatric patients with severe sepsis associated with MRSA infection, which can affect 74.9% of these patients and affects the process of anti-infection treatment and clinical outcomes. …"