arxiv So,given I know what a neural network is,lemme see if I get this straight... Are you telling me that there is a'lack of diverse health care data to train students'BUT you have ENOUGH DATA(tens of thousands of pictures for a proper model)to TRAIN AN ALGORITHM !?!? The irony...🤡🌍
We have summarized this news so that you can read it quickly. If you are interested in the news, you can read the full text here. Read more:
Health Health Latest News, Health Health Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and strokeAims We examine whether inclusion of artificial intelligence (AI)-enabled retinal vasculometry (RV) improves existing risk algorithms for incident stroke, myocardial infarction (MI) and circulatory mortality. Methods AI-enabled retinal vessel image analysis processed images from 88 052 UK Biobank (UKB) participants (aged 40–69 years at image capture) and 7411 European Prospective Investigation into Cancer (EPIC)-Norfolk participants (aged 48–92). Retinal arteriolar and venular width, tortuosity and area were extracted. Prediction models were developed in UKB using multivariable Cox proportional hazards regression for circulatory mortality, incident stroke and MI, and externally validated in EPIC-Norfolk. Model performance was assessed using optimism adjusted calibration, C-statistics and R2 statistics. Performance of Framingham risk scores (FRS) for incident stroke and incident MI, with addition of RV to FRS, were compared with a simpler model based on RV, age, smoking status and medical history (antihypertensive/cholesterol lowering medication, diabetes, prevalent stroke/MI). Results UKB prognostic models were developed on 65 144 participants (mean age 56.8; median follow-up 7.7 years) and validated in 5862 EPIC-Norfolk participants (67.6, 9.1 years, respectively). Prediction models for circulatory mortality in men and women had optimism adjusted C-statistics and R2 statistics between 0.75–0.77 and 0.33–0.44, respectively. For incident stroke and MI, addition of RV to FRS did not improve model performance in either cohort. However, the simpler RV model performed equally or better than FRS. Conclusion RV offers an alternative predictive biomarker to traditional risk-scores for vascular health, without the need for blood sampling or blood pressure measurement. Further work is needed to examine RV in population screening to triage individuals at high-risk. Data may be obtained from a third party and are not publicly available. The data supporting the results reported heartdisease
Source: medical_xpress - 🏆 101. / 51 Read more »
INPP5D limits plaque formation and glial reactivity in the APP/PS1 mouse model of Alzheimer’s diseaseThe dual specificity lipid/protein phosphatase SHIP1 (encoded by the INPP5D gene) is enriched in myeloid cells. Single nucleotide polymorphisms (SNPs) in INPP5D coding and non-coding regions impact risk for developing late onset sporadic Alzheimer’s disease (LOAD). We present pathological analyses with spatial transcriptomics of mice with tamoxifen-sensitive microglial knockdown of Inpp5d and show exacerbated plaque pathology, plaque-associated microglial density, and altered gene expression around plaques, suggesting novel markers for plaque-associated reactive microglia. Competing Interest Statement SAL is a founder of AstronauTx Ltd. All other others declare no competing interests.
Source: medical_xpress - 🏆 101. / 51 Read more »