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Total 227 results found since Jan 2013.

Deep-learning CT model effective for detecting head abnormalities
A deep-learning CT model can detect head abnormalities in 17 different regions...Read more on AuntMinnie.comRelated Reading: Deep learning plus CT helps guide head and neck cancer treatment Using AI with prior LDCT exams improves lung nodule risk assessment Can AI body composition analysis predict mortality risk on LDCT? AI plus CT improves cirrhosis prediction in liver disease patients CT radiomics can help in predicting outcomes in stroke patients
Source: AuntMinnie.com Headlines - August 22, 2023 Category: Radiology Source Type: news

Where You Live Can Shape How Alzheimer ’ s Affects You
The FDA in mid-July for the first time ever approved an Alzheimer’s drug, Leqembi. The annual price-tag will run patients $26,500. The same week, the Alzheimer’s Association for the first time ever released county-level data to identify which communities are most struggling with the disease. 6.7 million Americans live with Alzheimer’s disease and 134,000 of them will die because of it each year. We’ve known these aggregate numbers for a while now, but with new data and new drugs, healthcare specialists can now better target attention and resources. [time-brightcove not-tgx=”true”] ...
Source: TIME: Health - August 7, 2023 Category: Consumer Health News Authors: Jeremy Ney Tags: Uncategorized freelance Source Type: news

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

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