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Contenido proporcionado por Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Large Language Models in Clinical Trials with Eirini Schlosser

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Manage episode 410360528 series 3526489
Contenido proporcionado por Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

This week we sit down with Erini Schlosser, CEO of Dyania Health, and chart the pioneering advancements in large language models within healthcare. This episode promises to reveal how the shift from simple entity recognition to sophisticated reasoning models has revolutionized drug discovery and the curation of electronic medical records, all while unpacking the challenges of data privacy, computational demands, and the hunt for specialized AI talent. Discover the fusion of technology and medicine where the collaborative potential for real-world data utilization in evidence-based studies emerges as a beacon for innovation amidst the complexities of modern clinical trials.
As we explore the parallels of AI training to medical education, you'll be enthralled by stories of AI models undergoing meticulous fine-tuning by our in-house physicians, echoing the rigorous journey of medical residents. Irene lifts the veil on her own path, which led from a lineage steeped in medicine, through the worlds of biochemistry and investment banking, to the groundbreaking integration of NLP into healthcare at Dyania Health. Our conversation shines a light on the future of automating clinical research, where AI not only answers but justifies with evidence, promising an unprecedented era in the management and interpretation of medical data. Tune in for an intimate look at the challenges overcome and the milestones achieved in teaching machines to navigate the intricacies of human health.
Guest:
Eirini Schlosser

________
Reach out to Sam Parnell and Ivanna Rosendal
Join the conversation on our LinkedIn page

  continue reading

Capíttulos

1. Large Language Models in Clinical Trials with Eirini Schlosser (00:00:00)

2. Advancements in Large Language Models (00:00:21)

3. Standardization and Deployment in AI Healthcare (00:15:08)

4. Automating Clinical Research With AI (00:21:49)

66 episodios

Artwork
iconCompartir
 
Manage episode 410360528 series 3526489
Contenido proporcionado por Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

This week we sit down with Erini Schlosser, CEO of Dyania Health, and chart the pioneering advancements in large language models within healthcare. This episode promises to reveal how the shift from simple entity recognition to sophisticated reasoning models has revolutionized drug discovery and the curation of electronic medical records, all while unpacking the challenges of data privacy, computational demands, and the hunt for specialized AI talent. Discover the fusion of technology and medicine where the collaborative potential for real-world data utilization in evidence-based studies emerges as a beacon for innovation amidst the complexities of modern clinical trials.
As we explore the parallels of AI training to medical education, you'll be enthralled by stories of AI models undergoing meticulous fine-tuning by our in-house physicians, echoing the rigorous journey of medical residents. Irene lifts the veil on her own path, which led from a lineage steeped in medicine, through the worlds of biochemistry and investment banking, to the groundbreaking integration of NLP into healthcare at Dyania Health. Our conversation shines a light on the future of automating clinical research, where AI not only answers but justifies with evidence, promising an unprecedented era in the management and interpretation of medical data. Tune in for an intimate look at the challenges overcome and the milestones achieved in teaching machines to navigate the intricacies of human health.
Guest:
Eirini Schlosser

________
Reach out to Sam Parnell and Ivanna Rosendal
Join the conversation on our LinkedIn page

  continue reading

Capíttulos

1. Large Language Models in Clinical Trials with Eirini Schlosser (00:00:00)

2. Advancements in Large Language Models (00:00:21)

3. Standardization and Deployment in AI Healthcare (00:15:08)

4. Automating Clinical Research With AI (00:21:49)

66 episodios

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