Sarah Fuentes Molina

Of course, thank you. As you said, my name is Sarah Fuentes Molina. Prior to my current role, I served as Chief Growth Officer for TriazMD, a Chicago Pacific Founders portfolio company specializing in musculoskeletal surgical management. There, I oversaw growth in business operations, marketing, data analytics, and commercialization.

Of course, thank you. As you said, my name is Sarah Fuentes Molina. Prior to my current role, I served as Chief Growth Officer for TriazMD, a Chicago Pacific Founders portfolio company specializing in musculoskeletal surgical management. There, I oversaw growth in business operations, marketing, data analytics, and commercialization.

My previous leadership roles span growth in marketing, essentially guiding healthcare enterprises from Fortune 500 companies to startups towards market expansion and revenue growth. I served as an entrepreneur in residence for venture-backed startups in the health tech space out of Stanford Healthcare's Innovation Lab.

My previous leadership roles span growth in marketing, essentially guiding healthcare enterprises from Fortune 500 companies to startups towards market expansion and revenue growth. I served as an entrepreneur in residence for venture-backed startups in the health tech space out of Stanford Healthcare's Innovation Lab.

And I've led the go-to-market launch for business lines at life sciences and medical services companies like Johnson & Johnson, Fitbit, which is now part of Google, and Kaya Health. Currently, I advise a select group of health companies and startups at the intersection of machine learning, artificial intelligence, and healthcare services, including surgical and digital health.

And I've led the go-to-market launch for business lines at life sciences and medical services companies like Johnson & Johnson, Fitbit, which is now part of Google, and Kaya Health. Currently, I advise a select group of health companies and startups at the intersection of machine learning, artificial intelligence, and healthcare services, including surgical and digital health.

And the products that we're developing leverage health system and patient data to diagnose disease, achieve more precise surgical outcomes, and essentially realize the future of the four tenets of health tech, personalization, participation, precision, and prevention.

And the products that we're developing leverage health system and patient data to diagnose disease, achieve more precise surgical outcomes, and essentially realize the future of the four tenets of health tech, personalization, participation, precision, and prevention.

Oh, absolutely. That's a wonderful question. Thank you, Scott. So I would say we are going to see an exponential increase in AI leaning into healthcare. Currently, I'm closely watching the application of machine learning and AI, especially generative AI for healthcare data. Digital health and AI solutions are expanding rapidly.

Oh, absolutely. That's a wonderful question. Thank you, Scott. So I would say we are going to see an exponential increase in AI leaning into healthcare. Currently, I'm closely watching the application of machine learning and AI, especially generative AI for healthcare data. Digital health and AI solutions are expanding rapidly.

exponentially, and our advancements over the last two years are set to significantly enhance our ability to expedite the development of new drugs and treatments, improve patient outcomes and streamline health care delivery. It's really quite astonishing and an exciting time to be in this space.

exponentially, and our advancements over the last two years are set to significantly enhance our ability to expedite the development of new drugs and treatments, improve patient outcomes and streamline health care delivery. It's really quite astonishing and an exciting time to be in this space.

But to your question, while AI solution developers fully understand the technical fundamentals, many lack familiarity with established health principles, regulations, and standard clinical practices. And this gap can lead to the creation of solutions that have not been thoroughly evaluated for their impact, including safety for patients and health systems.

But to your question, while AI solution developers fully understand the technical fundamentals, many lack familiarity with established health principles, regulations, and standard clinical practices. And this gap can lead to the creation of solutions that have not been thoroughly evaluated for their impact, including safety for patients and health systems.

And that lack of understanding on both sides, I see leading to hesitation from healthcare leaders to invest. So hiring executives who come with that skill set and can build it in-house is going to be invaluable.

And that lack of understanding on both sides, I see leading to hesitation from healthcare leaders to invest. So hiring executives who come with that skill set and can build it in-house is going to be invaluable.

100%. And I think that juxtaposition, that nexus is the most interesting and exciting space in healthcare for me right now. And there are all sorts of applications that are going to be so important to establish that shared understanding. You may have seen in the news last week that DeepSeek AI just came out and that has essentially changed the game for open source AI.

100%. And I think that juxtaposition, that nexus is the most interesting and exciting space in healthcare for me right now. And there are all sorts of applications that are going to be so important to establish that shared understanding. You may have seen in the news last week that DeepSeek AI just came out and that has essentially changed the game for open source AI.

And what that means is AI that you can own on your own systems. And there are many obstacles for AI in healthcare and privacy and data control is one of the most important ones. And this now makes it possible for innovative players in the healthcare space to actually engage with AI on their own terms, as opposed to having to partner with companies like Anthropic.

And what that means is AI that you can own on your own systems. And there are many obstacles for AI in healthcare and privacy and data control is one of the most important ones. And this now makes it possible for innovative players in the healthcare space to actually engage with AI on their own terms, as opposed to having to partner with companies like Anthropic.