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[SITUATION] · [ACTIVE] · [HEALTH]

2 clusters · 3 sources · 23 days · First seen · Last updated

Medical research in liver and cardiac disease

Overview

Medical research has recently focused on advancements in treating and diagnosing liver and heart conditions. In Cuba, researchers from the Center for Genetic Engineering and Biotechnology of Sancti Spíritus published a study on the effectiveness of a prebiotic called ‘KestoMix’ for treating metabolic dysfunction-associated fatty liver disease by targeting intestinal microbiota.

In parallel, an international study involving the Quirónsalud Teknon Heart Institute introduced ‘PVCuRe’, a machine-learning tool designed to predict cardiac recovery following the ablation of ventricular extrasystoles. This tool aims to differentiate between heart deterioration caused by irregular beats and underlying cardiac disease.

Further developments in liver disease research, part of the international LITMUS program, have focused on non-invasive diagnostic tools for metabolic dysfunction-associated steatotic liver disease (MASLD). Studies published in The Lancet and Nature Medicine indicate that combining the SOMAScan proteomic panel with magnetic resonance elastography and FibroScan tests provides high precision for identifying advanced fibrosis and cirrhosis, offering potential alternatives to traditional liver biopsies.

Entities

Mirian Belkis Nápoles Valdés · The Lancet · Centro de Ingeniería Genética y Biotecnología de Sancti Spíritus · LITMUS program · Antonio Berruezo

Timeline

  1. [HEALTH] 3 sources
    Metabolic fatty liver disease: New non-invasive diagnostic tests emerge

    New research suggests non-invasive tests, including blood markers and advanced imaging, can accurately diagnose metabolic fatty liver disease and fibrosis, potentially replacing invasive liver biopsies.

  2. [HEALTH] 2 sources
    Medical research advances in liver disease treatment and cardiac recovery prediction

    New medical studies reveal the effectiveness of the prebiotic KestoMix for fatty liver disease and introduce a machine-learning tool to predict cardiac function recovery after ablation.

Sources

aflu.info · revistadesanatate.ro · stiintasitehnica.com