Prognosis and Personalized In Silico Prediction of Treatment Efficacy in Cardiovascular and Chronic Kidney Disease: A Proof-of-Concept Study

• Ngā kaituhi matua: Mayra Alejandra Jaimes Campos (Author), Iván Andújar (Author), Felix Keller (Author), Gert Mayer (Author), Peter Rossing (Author), Jan A. Staessen (Author), Christian Delles (Author), Joachim Beige (Author), Griet Glorieux (Author), Andrew L. Clark (Author), William Mullen (Author), Joost P. Schanstra (Author), Antonia Vlahou (Author), Kasper Rossing (Author), Karlheinz Peter (Author), Alberto Ortiz (Author), Archie Campbell (Author), Frederik Persson (Author), Agnieszka Latosinska (Author), Harald Mischak (Author), Justyna Siwy (Author), Joachim Jankowski (Author)
• Hōputu: Pukapuka
• I whakaputaina: MDPI AG, 2023-09-01T00:00:00Z.
• Ngā marau: article
• Urunga tuihono: Connect to this object online.

(1) Background: Kidney and cardiovascular diseases are responsible for a large fraction of population morbidity and mortality. Early, targeted, personalized intervention represents the ideal approach to cope with this challenge. Proteomic/peptidomic changes are largely responsible for the onset and...