Lipidomics-based deep learning algorithms can enhance prediction of obstructive coronary artery disease

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Lipidomics-based deep learning algorithms can enhance prediction of obstructive coronary artery disease

Session: Lipids: new pathophysiological and therapeutic insights

Topic: Metabolism

Speaker: Doctor E. Karagiannidis (Thessaloniki, GR)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Efstratios Karagiannidis

Hippokration General Hospital of Thessaloniki, Thessaloniki (Greece)

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6 more presentations in this session

Rare genetic variants in LDLR, APOB, and PCSK9 are associated with aortic stenosis

Speaker: Mr S. Jurgens (Cambridge, US)

Peroxisome proliferator-activated receptor gamma regulates interleukin-6 induced lipoprotein(a) gene expression in human HepG2 cells

Speaker: Doctor T. Harb (Baltimore, US)

Linking antibody against apolipoprotein A-1 to metabolic dysfunction-associated steatohepatitis in mice

Speaker: Doctor S. Pagano (Geneva, CH)

Beyond LDL-cholesterol: effects of alirocumab on the human apolipoproteome

Speaker: Mr L. Schmidt (Vienna, AT)

Electronegative ApoCIII-Rich HDL promotes cellular damage and vascular aging

Speaker: Doctor W. Hsu (Yunlin, TW)

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Lipids: new pathophysiological and therapeutic insights

Speakers: Doctor E. Karagiannidis, Mr S. Jurgens, Doctor T. Harb, Doctor S. Pagano, Mr L. Schmidt...

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ESC Congress 2024

30 August - 2 September 2024

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