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Identification of cell death-related biomarkers and immune infiltration in ischemic stroke between male and female patients
CONCLUSION: These findings contribute to a better knowledge of immune cell infiltration and their corresponding molecular mechanisms of cell death and offer distinct clinically relevant biological targets for IS patients of different genders.PMID:37435058 | PMC:PMC10332266 | DOI:10.3389/fimmu.2023.1164742
Source: Cancer Control - July 12, 2023 Category: Cancer & Oncology Authors: Wenli Chen Yuanfang Chen Liting Wu Yue Gao Hangju Zhu Ye Li Xinyu Ji Ziyi Wang Wen Wang Lei Han Baoli Zhu Hongxing Wang Ming Xu Source Type: research

Deep learning-based classification of DSA image sequences of patients with acute ischemic stroke
CONCLUSION: Our deep learning-based approach to thrombus identification in DSA sequences yielded high accuracy on our single-center test data set. External validation is now required to investigate the generalizability of our method. As demonstrated, using this new approach may help reduce the incident risk of overlooking thrombi during thrombectomy in the future.PMID:35604489 | DOI:10.1007/s11548-022-02654-8
Source: Cancer Control - May 23, 2022 Category: Cancer & Oncology Authors: Benjamin J Mittmann Michael Braun Frank Runck Bernd Schmitz Thuy N Tran Amine Yamlahi Lena Maier-Hein Alfred M Franz Source Type: research

Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predict Complications in Mexican Diabetic Patients without Arterial Hypertension (National Nested Case-Control Study): Metformin and Elevated Normal Blood Pressure Are Risk Factors, and Obesity Is Protective
In conclusion, the results we have obtained show that artificial intelligence is a powerful and feasible tool to use for this type of study. However, we suggest that more studies be conducted to verify and elaborate upon our findings.PMID:36846513 | PMC:PMC9949947 | DOI:10.1155/2023/8898958
Source: Cancer Control - February 27, 2023 Category: Cancer & Oncology Authors: Sergio A Zaizar-Fregoso Agustin Lara-Esqueda Carlos M Hern ández-Suarez Josuel Delgado-Enciso Arturo Garcia-Nevares Luis M Canseco-Avila Jose Guzman-Esquivel Iram P Rodriguez-Sanchez Margarita L Martinez-Fierro Gabriel Ceja-Espiritu Hector Ochoa-D íaz-L Source Type: research

Social Determinants of Health and Racial Disparities in Cardiac Events in Breast Cancer
CONCLUSIONS: Neighborhood and built environment variables are the most important SDOH predictors for 2-year MACE, and NHB patients were more likely to have unfavorable SDOH conditions. This finding reinforces that race is a social construct.PMID:37433439 | DOI:10.6004/jnccn.2023.7023
Source: Cancer Control - July 11, 2023 Category: Cancer & Oncology Authors: Nickolas Stabellini Mantas Dmukauskas Marcio S Bittencourt Jennifer Cullen Amie J Barda Justin X Moore Susan Dent Husam Abdel-Qadir Aniket A Kawatkar Ambarish Pandey John Shanahan Jill S Barnholtz-Sloan Kristin A Waite Alberto J Montero Avirup Guha Source Type: research