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Contenuto fornito da SOLABS, Mandy Gervasio, and Philippe Gaudreau. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da SOLABS, Mandy Gervasio, and Philippe Gaudreau 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.
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Episode 44: Good Machine Learning Practices for the Medical Devices Industry with Ben Locwin

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Contenuto fornito da SOLABS, Mandy Gervasio, and Philippe Gaudreau. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da SOLABS, Mandy Gervasio, and Philippe Gaudreau 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.

Welcome to Automating Quality. Mandy Gervasio is your host, and she’s on a mission to bring you hot industry topics with her fellow life sciences partners and friends!

Today’s episode features guest expert Ben Locwin! Ben is the VP of Project Solutions at Black Diamond Networks and has been working in the life sciences industry for over 25 years. Among other things, he has trained FDA inspectors and participated in the design of the Global Quality Metrics Initiative for the FDA.

The topic of today’s episode is good machine learning practices for the medical devices industry. Ben discusses some good machine learning practices (GMLP) and discusses the importance of standardizing those across the industry over time.

Key Takeaways

01:00 Today’s topic is good machine learning practices for the medical devices industry

01:20 Introducing today’s guest: Ben Locwin

03:30 Ben introduces good machine learning practice guiding principles

06:43 How quickly will there be a set standardized framework for good machine learning practices (GMLP)?

11:10 Why this topic matters a lot

12:15 Will new competencies need to be developed for understanding the regulations and techniques in the field of machine learning?

14:36 Thank you to our guests and listeners!

  continue reading

59 episodi

Artwork
iconCondividi
 
Manage episode 345835921 series 2364916
Contenuto fornito da SOLABS, Mandy Gervasio, and Philippe Gaudreau. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da SOLABS, Mandy Gervasio, and Philippe Gaudreau 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.

Welcome to Automating Quality. Mandy Gervasio is your host, and she’s on a mission to bring you hot industry topics with her fellow life sciences partners and friends!

Today’s episode features guest expert Ben Locwin! Ben is the VP of Project Solutions at Black Diamond Networks and has been working in the life sciences industry for over 25 years. Among other things, he has trained FDA inspectors and participated in the design of the Global Quality Metrics Initiative for the FDA.

The topic of today’s episode is good machine learning practices for the medical devices industry. Ben discusses some good machine learning practices (GMLP) and discusses the importance of standardizing those across the industry over time.

Key Takeaways

01:00 Today’s topic is good machine learning practices for the medical devices industry

01:20 Introducing today’s guest: Ben Locwin

03:30 Ben introduces good machine learning practice guiding principles

06:43 How quickly will there be a set standardized framework for good machine learning practices (GMLP)?

11:10 Why this topic matters a lot

12:15 Will new competencies need to be developed for understanding the regulations and techniques in the field of machine learning?

14:36 Thank you to our guests and listeners!

  continue reading

59 episodi

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