Publications related to Development of Machine Learning methods for the kinetic modelling of metabolic networks for biotechnological and biomedical applications

Related publications (10)

How data structures affect generalization in Kernel Methods and Deep Learning

Artificial Intelligence has revolutionized numerous fields, driving advancements in healthcare, finance, and autonomous systems. At the core of this revolution lies Deep Learning---algorithms that learn representations from data through computational layer ...

EPFL2025

Biophysical properties at patch scale shape the metabolism of biofilm landscapes

Tom Ian Battin, Hannes Markus Peter, Anna Depetris

Phototrophic biofilms form complex spatial patterns in streams and rivers, yet, how community patchiness, structure and function are coupled and contribute to larger-scale metabolism remains unkown. Here, we combined optical coherence tomography with autom ...

2022

A Method to Monitor the NAD(+) Metabolome-From Mechanistic to Clinical Applications

Carlos Canto Alvarez

Nicotinamide adenine dinucleotide (NAD(+)) and its reduced form (NADH) are coenzymes employed in hundreds of metabolic reactions. NAD(+) also serves as a substrate for enzymes such as sirtuins, poly(ADP-ribose) polymerases (PARPs) and ADP-ribosyl cyclases. ...

MDPI2021

The Appearance of the Warburg Effect in the Developing Avian Eye Characterized In Ovo: How Neurogenesis Can Remodel Neuroenergetics

Rolf Gruetter, Carole Poitry-Yamate, Antoine Timothée Cherix

PURPOSE. The avian eye is an established model for exploring mechanisms that coordinate morphogenesis and metabolism during embryonic development. Less is known, however, about trafficking of bioenergetic and metabolic signaling molecules that are involved ...

2020

Collaborative Sampling in Generative Adversarial Networks

Alexandre Massoud Alahi, Yuejiang Liu, Parth Ashit Kothari

The standard practice in Generative Adversarial Networks (GANs) discards the discriminator during sampling. However, this sampling method loses valuable information learned by the discriminator regarding the data distribution. In this work, we propose a co ...

2020

UV-Irradiated 2-Keto-(1-C-13)Isocaproic Acid for High-Performance C-13 Hyperpolarized MR

Andrea Capozzi, Arthur César Pinon

Enhancing the sensitivity of magnetic resonance spectroscopy/imaging (MRS/MRI) by dissolution dynamic nuclear polarization (dDNP) has expanded the scope of MRS applications to new fields of research. Most importantly, it has paved the way toward noninvasiv ...

AMER CHEMICAL SOC2020

A machine learning approach for mapping the very shallow theoretical geothermal potential

Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Dan Assouline

The very shallow geothermal potential (vSGP) is increasingly recognized as a viable resource for providing clean thermal energy in urban and rural areas. This is primarily due to its reliability, low-cost installation, easy maintenance, and little constrai ...

2019

Identification of Multiphase Reaction Systems with Instantaneous Equilibria

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

The identification of kinetic models for multiphase reaction systems is complex due to the simultaneous effect of chemical reactions and mass transfers. The extentbased incremental approach simplifies the modeling task by transforming the reaction system i ...

American Chemical Society2016

Dictionary learning for fast classification based on soft-thresholding

Pascal Frossard, Alhussein Fawzi

Classifiers based on sparse representations have recently been shown to provide excellent results in many visual recognition and classification tasks. However, the high cost of computing sparse representations at test time is a major obstacle that limits t ...

Springer2015

Metabolic Networks of Longevity

Johan Auwerx, Richardus Houtkooper

Molecular and cellular networks implicated in aging depend on a multitude of proteins that collectively mount adaptive and contingent metabolic responses to environmental challenges. Here, we discuss the intimate links between metabolic regulation and long ...

2010