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S5 - E24.1 - EASL Congress Six Weeks Later: Mathieu Petitjean's Key Takeaways

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Contenuto fornito da SurfingNASH.com. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da SurfingNASH.com o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

This conversation contains the first half of Roger Green's interview with PharmaNest Founder and CEO Mathieu Petitjean. After Matt tells the audience a little about his background and PhramaNest, the two discuss what Matt considered the key strategic takeaways for PharmaNest from the various EASL Congress presentations, abstracts and discussions.
Before answering the question, Matt describes the core services his company offers: "PharmaNest specializes in digital pathology. Four years ago, we put down the hypothesis that the histological phenotype of fibrosis should be quantified in a high-resolution, sophisticated way." He goes on to state their core proposition for MASLD: "The big idea here is that fibrosis equals phenotype." He proceeds to describe his offerings in greater detail before offering the underlying value of computed histology: fibrosis is a continuous variable that is scored in discrete categories under the NASH-CRN model that drives FDA analysis. With this as context, he answers the question by describing three kinds of MASLD clinical trial designs. The first, earliest trials had a single pathologist reading histological slides. The method is not precise, but the drugs were not very good, and none were ultimately approved. The second set of trials relied on more rigorous methods for pathologists to read histology slides, with multiple readers and robust adjudication systems. Also, the drugs in this second set of trials were more efficacious, so that NASH-CRN, while a blunt instrument, could adequately assess efficacy. For the third set of trials, Matt believes non-invasive tests (NITs) are likely to suffice.

  continue reading

1020 episodi

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Manage episode 433090538 series 2901310
Contenuto fornito da SurfingNASH.com. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da SurfingNASH.com o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

This conversation contains the first half of Roger Green's interview with PharmaNest Founder and CEO Mathieu Petitjean. After Matt tells the audience a little about his background and PhramaNest, the two discuss what Matt considered the key strategic takeaways for PharmaNest from the various EASL Congress presentations, abstracts and discussions.
Before answering the question, Matt describes the core services his company offers: "PharmaNest specializes in digital pathology. Four years ago, we put down the hypothesis that the histological phenotype of fibrosis should be quantified in a high-resolution, sophisticated way." He goes on to state their core proposition for MASLD: "The big idea here is that fibrosis equals phenotype." He proceeds to describe his offerings in greater detail before offering the underlying value of computed histology: fibrosis is a continuous variable that is scored in discrete categories under the NASH-CRN model that drives FDA analysis. With this as context, he answers the question by describing three kinds of MASLD clinical trial designs. The first, earliest trials had a single pathologist reading histological slides. The method is not precise, but the drugs were not very good, and none were ultimately approved. The second set of trials relied on more rigorous methods for pathologists to read histology slides, with multiple readers and robust adjudication systems. Also, the drugs in this second set of trials were more efficacious, so that NASH-CRN, while a blunt instrument, could adequately assess efficacy. For the third set of trials, Matt believes non-invasive tests (NITs) are likely to suffice.

  continue reading

1020 episodi

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