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Deep reinforcement learning for optimal experimental design in biology …

WebJan 13, 2024 · Background Classical phase 1 dose-finding designs based on a single toxicity endpoint to assess the maximum tolerated dose were initially developed in the context of cytotoxic drugs. With the emergence of molecular targeted agents and immunotherapies, the concept of optimal biological dose (OBD) was subsequently introduced to account for … WebMar 1, 2015 · The American Biology Teacher (2015) 77 (3): 192–197. Optimal foraging theory attempts to explain the foraging patterns observed in animals, including their choice of particular food items and foraging locations. We describe three experiments designed to test hypotheses about food choice and foraging habitat preference using bird feeders. markthof lengnau

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WebNov 21, 2024 · Author summary Biological systems are often complex and typically exhibit non-linear behaviour, making accurate model parametrisation difficult. Optimal experimental design tools help address this problem by identifying experiments that are predicted to provide maximally informative data for parameter inference. In this work we use … WebFeb 20, 2013 · Among the important principles in biology that should be taught in biological engineering educational programs is the principle of optimization, what it means, why it is important, and how it comes about. This material can be presented at numerous levels throughout the curriculum. Understanding of this principle can lead biological engineers … WebOct 12, 2024 · Enzymes from E. coli or warm-blooded animals tend to have an optimum temperature of around 37°C, whereas those from thermal vent bacteria have much higher optimal temperatures. This makes sense … markthof immobilien