首页|Reports from Federal University of ABC Highlight Recent Findings in Machine Lear ning (Towards a Machine-learning-based Application for Amorphous Drug Recognitio n)
Reports from Federal University of ABC Highlight Recent Findings in Machine Lear ning (Towards a Machine-learning-based Application for Amorphous Drug Recognitio n)
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Researchers detail new data in Machine Learning. According to news originating from Santo Andre, Brazil, by NewsRx cor respondents, research stated, "The amorphous drug structure represents an import ant feature to be reached in the pharmaceutical field due to its possibility of increasing drug solubility, considering that at least 40% of comme rcially available crystalline drugs are poorly soluble in water. However, it is known that the amorphous local structure can vary depending on the amorphization technique used." Financial supporters for this research include Conselho Nacional de Desenvolvime nto Cientifico e Tecnologico (CNPQ), Federal University of Ouro Preto (Ouro Pret o, MG, Brazil), Federal University of ABC (Santo Andre, SP, Brazil), Federal Uni versity of Espirito Santo (Vitoria, ES, Brazil).
Santo AndreBrazilSouth AmericaCybo rgsDrugs and TherapiesEmerging TechnologiesMachine LearningFederal Unive rsity of ABC
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