the dosage of angiotensin converting enzyme inhibitor and ejection fraction, blood pressure, peak oxygen consumption, or serum concentrations of urea and electrolytes. There was a good correlation between the two scales of angiotensin converting enzyme inhibition (rt0-86, P<0-001).
CommentAngiotensin converting enzyme inhibition improves survival of patients with chronic heart failure. As yet, a minority of patients are treated with angiotensin converting enzyme inhibitors.' Two trials to determine the relation between dose and benefit (NETWORK (studying enalapril) and assessment of treatment with lisinopril and survival (ATLAS)) are in progress. We found that even in hospital based care of chronic heart failure a wide range of different angiotensin converting enzyme inhibitor regimens is used. Clinical variables seem not to influence the dosage used. Only those patients taking captopril were likely to be receiving the drug in the range associated with a beneficial effect on mortality.Until the results of studies comparing high and low doses of angiotensin converting enzyme inhibitors are known, the aim of treatment should be to reach a dosage associated with improved mortality.
We consider the use of AI techniques to expand the coverage, access, and equity of urban data. We aim to enable holistic research on city dynamics, steering AI research attention away from profit-oriented, societally harmful applications (e.g., facial recognition) and toward foundational questions in mobility, participatory governance, and justice. By making available high-quality, multi-variate, cross-scale data for research, we aim to link the macrostudy of cities as complex systems with the reductionist view of cities as an assembly of independent prediction tasks. We identify four research areas in AI for cities as key enablers: interpolation and extrapolation of spatiotemporal data, using NLP techniques to model speech- and text-intensive governance activities, exploiting ontology modeling in learning tasks, and understanding the interaction of fairness and interpretability in sensitive contexts.
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