AUTOENCODING FORMULATIONS
Systems, methods, and computer programs disclosed herein relate to training and using a machine learning model to predict compositions and/or properties of formulations, in particular of active ingredient formulations. L'invention divulgue des systèmes, des procédés et des programmes informatiq...
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creator | NIEDENFUEHR, Sebastian WEISS, Martin GRIMBS, Sergio KAUSCH-BUSIES, Nina HATZ, Kathrin HAESE, Florian KLEMMER, Helge Frederic Maria |
description | Systems, methods, and computer programs disclosed herein relate to training and using a machine learning model to predict compositions and/or properties of formulations, in particular of active ingredient formulations.
L'invention divulgue des systèmes, des procédés et des programmes informatiques se rapportant à l'apprentissage et à l'utilisation d'un modèle d'apprentissage machine pour prédire des compositions et/ou des propriétés de formulations, en particulier de formulations de principes actifs. |
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L'invention divulgue des systèmes, des procédés et des programmes informatiques se rapportant à l'apprentissage et à l'utilisation d'un modèle d'apprentissage machine pour prédire des compositions et/ou des propriétés de formulations, en particulier de formulations de principes actifs.</description><language>eng ; fre</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230511&DB=EPODOC&CC=WO&NR=2023078914A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230511&DB=EPODOC&CC=WO&NR=2023078914A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>NIEDENFUEHR, Sebastian</creatorcontrib><creatorcontrib>WEISS, Martin</creatorcontrib><creatorcontrib>GRIMBS, Sergio</creatorcontrib><creatorcontrib>KAUSCH-BUSIES, Nina</creatorcontrib><creatorcontrib>HATZ, Kathrin</creatorcontrib><creatorcontrib>HAESE, Florian</creatorcontrib><creatorcontrib>KLEMMER, Helge Frederic Maria</creatorcontrib><title>AUTOENCODING FORMULATIONS</title><description>Systems, methods, and computer programs disclosed herein relate to training and using a machine learning model to predict compositions and/or properties of formulations, in particular of active ingredient formulations.
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L'invention divulgue des systèmes, des procédés et des programmes informatiques se rapportant à l'apprentissage et à l'utilisation d'un modèle d'apprentissage machine pour prédire des compositions et/ou des propriétés de formulations, en particulier de formulations de principes actifs.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
title | AUTOENCODING FORMULATIONS |
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