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Optimal Information Collection Policies in a Markov Decision Process Framework

Publications associées (31)

Machine learning-derived gut microbiome signature predicts fatty liver disease in the presence of insulin resistance

A simple predictive biomarker for fatty liver disease is required for individuals with insulin resistance. Here, we developed a supervised machine learning-based classifier for fatty liver disease using fecal 16S rDNA sequencing data. Based on the Kangbuk ...

Nature Portfolio2022

Advanced metabolite mapping at ultra-high field using 1H-MRS, 1H-MRSI and macromolecules: applications in a rat model of type C hepatic encephalopathy

Dunja Simicic

Magnetic Resonance Spectroscopy (MRS) is the only technique capable of measuring a large number of metabolites simultaneously in vivo. Ultra-high magnetic fields (UHF) combined with ultra-short echo time (TE) sequences allow the detection of high-quality 1 ...

EPFL2022

Overview of oxidative stress findings in hepatic encephalopathy: From cellular and ammonium-based animal models to human data

Cristina Ramona Cudalbu, Dunja Simicic

Oxidative stress is a natural phenomenon in the body. Under physiological conditions intracellular reactive oxygen species (ROS) are normal components of signal transduction cascades, and their levels are maintained by a complex antioxidants systems partic ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Dissecting the role of the asparagine synthesis in acute liver injury

Yu Sun

Amino acids are some of the main building stones of life used in a variety of biological processes, such as protein synthesis, energy metabolism or even as precursors for hormone synthesis. How-ever, some of them also participate and coordinate certain cel ...

EPFL2022

[13C]bicarbonate labelled from hyperpolarized [1-13C]pyruvate is an in vivo marker of hepatic gluconeogenesis in fasted state

Arnaud Comment, Rolf Gruetter, Josefina Adriana Maria Bastiaansen, Emine Can, Hikari Ananda Infinity Yoshihara

Hyperpolarized [1-13C]pyruvate enables direct in vivo assessment of real-time liver enzymatic activities by 13C magnetic resonance. However, the technique usually requires the injection of a highly supraphysiological dose of pyruvate. We herein demonstrate ...

2022

Optimization and equilibrium problems with discrete choice models

Stefano Bortolomiol

Many transportation markets are characterized by oligopolistic competition. In these markets customers, suppliers and regulators make decisions that are influenced by the preferences and the decisions of all other agents. In particular, capturing and under ...

EPFL2022

Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches

Bart Deplancke, Wouter Saelens

The liver is the largest solid organ in the body, yet it remains incompletely characterized. Here we present a spatial proteogenomic atlas of the healthy and obese human and murine liver combining single-cell CITEseq, single-nuclei sequencing, spatial tran ...

CELL PRESS2022

Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos

An attempt is made to translate five generic key performance indicators (KPIs) into a continuous real-time cost function in a batch order-based manufacturing environment. The challenge of controlling and optimizing resource utilization, production efficien ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

A chance-constraint approach for optimizing Social Engagement-based services

Michel Bierlaire, Edoardo Fadda

Social Engagement is a novel business model transforming final users of a service from passive into active components. In this framework, people are contacted by a company and they are asked to perform tasks in exchange for a reward. This arises the compli ...

IEEE2022

A conceptual construct on value for infrastructure asset management

Matthias Finger

Understanding the meaning of value to asset-intensive organizations and their stakeholders has been a long -standing goal of researchers and managers of the asset management community. These issues have become particularly prominent with the publication of ...

ELSEVIER SCI LTD2022

Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning

Boris Nikolov, Volkan Cevher, Paul Thierry Yves Rolland, Luca Viano

While Reinforcement Learning (RL) aims to train an agent from a reward function in a given environment, Inverse Reinforcement Learning (IRL) seeks to recover the reward function from observing an expert’s behavior. It is well known that, in general, variou ...

2022