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Ideagen에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Ideagen 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Lana Feng, Huma.AI: 2024 AI, Health, Tech, & Finance Summit

22:30
 
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Manage episode 404040073 series 2813906
Ideagen에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Ideagen 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Data is critical to the development of healthcare and life sciences. With thousands of clinical trials being performed worldwide, the amount of data is exponentially increasing. The problem is that 80% of healthcare data is unstructured - often coming in the form of documents of free text columns in tableau data sets. According to Lana Fend, Co-Founder and CEO of Huma.AI, the status quo is for professionals like herself to manually curate such data. Evidently, this process is largely labor-intensive and error-prone. Huma.AI combats these challenges by utilizing AI and natural language processing to automate data processing.
In doing so, Huma.AI expediates the process of bringing medicine to markets and saving thousands of lives. At the core of such efforts is the company's mission: to accelerate the development of life-saving drugs with a patient-centered approach. According to Lana, this warrants innovation at the speed of light. By using rapidly evolving AI technologies to automate the mundane tasks of data processing, healthcare experts can transform the industry.
A critical application of Huma.AI's work involves diversity and equity. By harnessing the power of AI, the company works to uncover data about disadvantaged populations and integrate it into clinical studies. This way, clinical trials can truly represent the general population, and drugs being developed can be equitably applicable to everyone.
#ideagen #aihealthtechandfinancesummit #huma.ai
Watch the entire 2024 AI, Health, Tech, and Finance Summit here: https://www.ideagenmember.com/2024miami
Learn more about the Huma.AI: https://www.huma.ai/
Lana's LinkedIn: https://www.linkedin.com/in/lanafeng/

  continue reading

318 에피소드

Artwork
icon공유
 
Manage episode 404040073 series 2813906
Ideagen에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Ideagen 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Data is critical to the development of healthcare and life sciences. With thousands of clinical trials being performed worldwide, the amount of data is exponentially increasing. The problem is that 80% of healthcare data is unstructured - often coming in the form of documents of free text columns in tableau data sets. According to Lana Fend, Co-Founder and CEO of Huma.AI, the status quo is for professionals like herself to manually curate such data. Evidently, this process is largely labor-intensive and error-prone. Huma.AI combats these challenges by utilizing AI and natural language processing to automate data processing.
In doing so, Huma.AI expediates the process of bringing medicine to markets and saving thousands of lives. At the core of such efforts is the company's mission: to accelerate the development of life-saving drugs with a patient-centered approach. According to Lana, this warrants innovation at the speed of light. By using rapidly evolving AI technologies to automate the mundane tasks of data processing, healthcare experts can transform the industry.
A critical application of Huma.AI's work involves diversity and equity. By harnessing the power of AI, the company works to uncover data about disadvantaged populations and integrate it into clinical studies. This way, clinical trials can truly represent the general population, and drugs being developed can be equitably applicable to everyone.
#ideagen #aihealthtechandfinancesummit #huma.ai
Watch the entire 2024 AI, Health, Tech, and Finance Summit here: https://www.ideagenmember.com/2024miami
Learn more about the Huma.AI: https://www.huma.ai/
Lana's LinkedIn: https://www.linkedin.com/in/lanafeng/

  continue reading

318 에피소드

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