Publications associées à Pharmacotechnie

Highly Sensitive Detection of the Antidepressant Fluoxetine With an Extended Gate Field Effect Transistor

Mihai Adrian Ionescu, Shokoofeh Sheibani

Fluoxetine (FL) is one of the selective serotonin reuptake inhibitors, which is used as an anti-depressant, as well as anti-panic drug. In this work, a sensor for label-free recognition of trace amounts of FL is introduced, which is based on an extended ga ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Structure determination of an amorphous drug through large-scale NMR predictions

David Lyndon Emsley, Pierrick Berruyer, Albert Hofstetter, Manuel Cordova, Federico Maria Paruzzo, Bruno Simões de Almeida, Martins Balodis

Knowledge of the structure of amorphous solids can direct, for example, the optimization of pharmaceutical formulations, but atomic-level structure determination in amorphous molecular solids has so far not been possible. Solid-state nuclear magnetic reson ...

NATURE RESEARCH2021

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Hervé Bourlard, Afsaneh Asaei, Pranay Dighe

Statistical speech recognition has been cast as a natural realization of the compressive sensing problem in this work. The compressed acoustic observations are sub-word posterior probabilities obtained from a deep neural network. Dictionary learning and sp ...

Idiap2016

A solid-state NMR method to determine domain sizes in multi-component polymer formulations

David Lyndon Emsley, Judith Schlagnitweit

Polymer domain sizes are related to many of the physical properties of polymers. Here we present a solid-state NMR experiment that is capable of measuring domain sizes in multi-component mixtures. The method combines selective excitation of carbon magnetiz ...

Academic Press Inc Elsevier Science2015

Crystallization of undercooled liquid fenofibrate

Esther Amstad

Formulation of hydrophobic drugs as amorphous materials is highly advantageous as this increases their solubility in water and therefore their bioavailability. However, many drugs have a high propensity to crystallize during production and storage, limitin ...

Royal Society of Chemistry2015

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Hervé Bourlard, Afsaneh Asaei, Pranay Dighe

Statistical speech recognition has been cast as a natural realization of the compressive sensing and sparse recovery. The compressed acoustic observations are sub-word posterior probabilities obtained from a deep neural network (DNN). Dictionary learning a ...

2015

Superparamagnetic nanoparticles – a tool for early diagnostics

Heinrich Hofmann

Nanoparticles show several interesting new physical and biological properties and therefore play an increasing role in pharmaceutics and medicine. For more than 30 years this research field has been developing slowly but steadily from physical and biologic ...

Swiss Medical Publishers Ltd / EMH Swiss Medical Publishers2010

CZE-ICP-MS as a tool for studying the hydrolysis of ruthenium anticancer drug candidates and their reactivity towards the DNA model compound dGMP

Paul Joseph Dyson, Christian Hartinger, Michael Groessl

Elucidating the mode of action and thereby opening the way to the design of chemotherapeutic agents is one of the major goals of metal-based anticancer research. Hydrolysis and DNA binding play an important role for pharmaceutical formulation and for exert ...

2008

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Pharmacotechnie

Highly Sensitive Detection of the Antidepressant Fluoxetine With an Extended Gate Field Effect Transistor

Structure determination of an amorphous drug through large-scale NMR predictions

Fabrication of micrometer-sized drops as templates for particles

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

A solid-state NMR method to determine domain sizes in multi-component polymer formulations

Crystallization of undercooled liquid fenofibrate

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Superparamagnetic nanoparticles – a tool for early diagnostics

Hybrid Polymer Therapeutics Incorporating Bioresponsive, Coiled Coil Peptide Linkers

CZE-ICP-MS as a tool for studying the hydrolysis of ruthenium anticancer drug candidates and their reactivity towards the DNA model compound dGMP

Graph Chatbot

Chattez avec Graph Search

Crystallization of undercooled liquid fenofibrate

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Hybrid Polymer Therapeutics Incorporating Bioresponsive, Coiled Coil Peptide Linkers

Superparamagnetic nanoparticles – a tool for early diagnostics

CZE-ICP-MS as a tool for studying the hydrolysis of ruthenium anticancer drug candidates and their reactivity towards the DNA model compound dGMP

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Fabrication of micrometer-sized drops as templates for particles

Highly Sensitive Detection of the Antidepressant Fluoxetine With an Extended Gate Field Effect Transistor

A solid-state NMR method to determine domain sizes in multi-component polymer formulations

Structure determination of an amorphous drug through large-scale NMR predictions