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Design of experiments 1

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all-cause mortality 1

chronic myelogenous leukemia (CML) 1

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The role of RAS effectors in BCR/ABL induced chronic myelogenous leukemia

Jessica Fredericks, Ruibao Ren

Frontiers of Medicine 2013, Volume 7, Issue 4, Pages 452-461 doi: 10.1007/s11684-013-0304-0

Abstract: To further narrow down the pathways downstream of RAS that are responsible for this rescue effect, weutilize well-characterized RAS effector loop mutants and determine that the RAL pathway is important

Keywords： BCR/ABL chronic myelogenous leukemia (CML) RAS RAL

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Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead! Perspective

Dobbelaere, Yi Ouyang, Kevin De Ras, Maarten K. Sabbe, Guy B. Marin, Kevin M. Van Geem

Engineering 2023, Volume 27, Issue 8, Pages 23-30 doi: 10.1016/j.eng.2023.02.019

Abstract:

By combining machine learning with the design of experiments, thereby achieving so-called active machine learning, more efficient and cheaper research can be conducted. Machine learning algorithms are more flexible and are better than traditional design of experiment algorithms at investigating processes spanning all length scales of chemical engineering. While active machine learning algorithms are maturing, their applications are falling behind. In this article, three types of challenges presented by active machine learning—namely, convincing the experimental researcher, the flexibility of data creation, and the robustness of active machine learning algorithms—are identified, and ways to overcome them are discussed. A bright future lies ahead for active machine learning in chemical engineering, thanks to increasing automation and more efficient algorithms that can drive novel discoveries.

Keywords： Active machine learning Active learning Bayesian optimization Chemical engineering Design of experiments

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Renin--angiotensin system inhibitor is associated with the reduced risk of all-cause mortality in COVID-19 among patients with/without hypertension

Frontiers of Medicine 2022, Volume 16, Issue 1, Pages 102-110 doi: 10.1007/s11684-021-0850-9

Abstract: to March 2020 to investigate the association between the use of renin–angiotensin system inhibitor (RAS-IAssociations between the use of RAS-I (angiotensin-converting enzyme inhibitor (ACEI) or angiotensinRAS-I (hazard ratio (HR)=0.499, 95% confidence interval (CI) 0.325–0.767) and ARB (HR=0.410, 95% CI 0.240For patients with hypertension, RAS-I and ARB applications were also associated with a reduced risk ofRAS-I exhibited protective effects on the survival outcome of COVID-19.

Keywords： COVID-19 RAS inhibitor hypertension all-cause mortality