Physics-informed neural networks for modelling rheumatoid arthritis progression: a novel approach integrating pathophysiological laws with machine learning (2026)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; FREIRE, DANIELA LOPES - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-032-10489-2_44
- Subjects: REDES NEURAIS; APRENDIZADO COMPUTACIONAL; ARTRITE REUMATOIDE; BIOMARCADORES; TECNOLOGIAS DA SAÚDE
- Keywords: Physics-Informed Neural Networks; Biomarker Prediction; Medical AI; InterpretableMachineLearning; ChronicDiseaseModelling
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
03. Saúde e bem-estar
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science - LNCS
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 16239, p. 516-527, 2026
- Conference titles: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FREIRE, Daniela Lopes et al. Physics-informed neural networks for modelling rheumatoid arthritis progression: a novel approach integrating pathophysiological laws with machine learning. Lecture Notes in Computer Science - LNCS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-10489-2_44. Acesso em: 26 jan. 2026. , 2026 -
APA
Freire, D. L., Megeto, G., Gessoni, L. D., Fantini, I., Silva, R. D. da, Leão, H., et al. (2026). Physics-informed neural networks for modelling rheumatoid arthritis progression: a novel approach integrating pathophysiological laws with machine learning. Lecture Notes in Computer Science - LNCS. Cham: Springer. doi:10.1007/978-3-032-10489-2_44 -
NLM
Freire DL, Megeto G, Gessoni LD, Fantini I, Silva RD da, Leão H, Pitta MG da R, Carvalho ACP de LF de. Physics-informed neural networks for modelling rheumatoid arthritis progression: a novel approach integrating pathophysiological laws with machine learning [Internet]. Lecture Notes in Computer Science - LNCS. 2026 ; 16239 516-527.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1007/978-3-032-10489-2_44 -
Vancouver
Freire DL, Megeto G, Gessoni LD, Fantini I, Silva RD da, Leão H, Pitta MG da R, Carvalho ACP de LF de. Physics-informed neural networks for modelling rheumatoid arthritis progression: a novel approach integrating pathophysiological laws with machine learning [Internet]. Lecture Notes in Computer Science - LNCS. 2026 ; 16239 516-527.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1007/978-3-032-10489-2_44 - Técnicas de sumarização de textos jurídicos para suporte à classificação de documentos de decisões judiciais
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Informações sobre o DOI: 10.1007/978-3-032-10489-2_44 (Fonte: oaDOI API)
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