Join host Dr. Terence Tan, Business Development Manager, Healthcare and Life Sciences Startups for AWS, as he welcomes James Hare, CEO & Co-Founder, and Dr. Carolyn Lam, Co-Founder & Non-Exec Head of Medical Affairs of Us2.ai. This Singapore-based company is on a mission to democratize echocardiograms through AI, aiming to improve patient outcomes and expand healthcare access globally.In this episode, we discuss: AI in Cardiology and the democratization of echocardiography [07:30] Evidence Generation through key research studies and community-based efforts [10:55] Technical Challenges in achieving 100% automation [14:57] Empowering Clinicians with Us2.ai's Co-Pilot [18:08] Global Customer Footprint from Uganda to the Philippines to Boston [22:04] Regulatory & Tech Deployment strategies [24:01] Goals for the Future and the evolving perception of AI [27:30] Advice to Founders in the clinical decision support space [30:55] COVID-19, AI Adoption & Final Thoughts. Happy Anniversary to James & Carolyn! [33:59] Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.

Ever wonder about the intersection of AI and dentistry? Join Alex Merwin, Head of Growth, Healthcare & Life Sciences Startups at AWS, as he sits down with Ophir Tanz, Founder & CEO of Pearl, a company using AI to power the future of dentistry. From Ophir's background to the intricacies of integrating AI in dental care, we cover a lot in this one! Unveiling Pearl's Vision: Learn about Ophir's professional journey and the unique challenges and opportunities of integrating AI in dentistry. [01:36] Startup Evolution & Selecting Investors: Hard won insights about Series A & B fundraising, how Pearl spun out of a successful computer vision startup, and how to think about who you should invite onto your board of directors. [07:59] Visual Storytelling: How AI-enabled dental imaging takes advantage of our preference for visual story telling, improving diagnostic performance of dentists and empowering patients to understand and improve their dental health. [15:46] Pearl's Bold Regulatory Strategy: Why Pearl decided to pursue 10 FDA clearances in one submission. [21:02] Integration & Deployment: Pearl's approach to ensuring a smooth workflow and a great clinician experience. [25:21] Crafting Quality AI Models: Pearl's meticulous process of sourcing and annotating training data, culminating in their performant AI models. [27:40] Generative AI and other Emerging Trends: Generative AI use cases and other emerging trends in applying AI in dentistry. [31:48] Workflow - The Key to Adoption: Why great AI is not enough, a seamless workflow is a requirement for clinician adoption and effective implementation. [35:59] Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.

Join Guy Spigelman, EMEA Lead, Healthcare & Life Sciences Startups at AWS, as he sits down with Dali Kilani, CTO of Lifen. Learn about how Lifen's tools are reshaping healthcare in Europe, making it more accessible, efficient, and unlocking the full potential of health data. Lifen's Data Solutions: Data access & interoperability challenges, and what Lifen does - 01:34 Clinician Digital Empowerment: The importance of clinician enablement, providing better digital tools and training on how to use these tools - 05:50 Lifen's Impact: How hospitals and health techs work with Lifen to improve quality, access & efficiency of care - 09:27 Customer-Centric Pricing: Aligning business models, how to be customer obsessed with pricing - 16:32 Security as Strength: Privacy by design and the benefits of making security & compliance a strength for your team to sell into - 19:50 European Expansion: International expansion within Europe, and how to manage regulatory, health system diversity & cultural headwinds - 24:25 Innovation vs. Risk: Clinical opportunity cost, taking a risk management-first approach to digital health innovation to get solutions into the clinic faster while doing no harm - 28:21 Dali's Background: What brought Dali to focus his career on health innovation, and his optimism for the future - 34:15 Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.

Akilesh Bapu, Co-Founder & CEO of DeepScribe, discusses transforming medical documentation with AI. DeepScribe uses supervised and unsupervised machine learning techniques to enable physicians to spend more time with patients. Their go-to-market strategy targets private practices and large health systems. Maintaining a 'human in the loop' is crucial to accuracy and managing algorithmic bias in AI systems.

Dr. Amrita Sarkar, Principal Healthcare and Life Sciences Startups Business Development Manager at Amazon Web Services, welcomes Jean Francois Brepson, CEO of Pathoquest to the show. PathoQuest enables new biotherapies to be delivered rapidly and safely to patients with its quality testing platform. Jean shares details about Pathoquest's ground breaking next-generation sequencing (NGS) approach to genetic characterization and viral testing. Serving global biopharmaceutical companies and emerging biotechs, Pathoquest provides a robust QC solution to accelerate the manufacturing of biologics. The conversation also dives into the company's approach to international expansion, and the pivotal role of local expertise and investors in understanding and penetrating new markets. [01:00] Introduction to Pathoquest. [02:17] Jean Francois Brepson's background and path to founding Pathoquest. [03:29] Pathoquests' journey as a spin out from the Institut Pasteur, named after the eminent French Chemist Louis Pasteur. [05:21] How Pathoquests' solution improves manufacturing ROI via enhanced viral safety and genetic characterization. [09:10] How cloud computing has enabled Pathoquest to scale faster [11:28] Recent publications and Pathoquest's commitment to scientific excellence. [13:15] Details on Pathoquest's partnership with Oxford Nanopore. [14:42] Scientific and business challenges of building Pathoquest and lessons learned along the way. [17:31] Best practices from Pathoquest's US launch. [20:58] Pathoquests goals and ambition for the coming years. [22:59] Advice for non-US founders wanting to launch a life sciences startup in the US. [24:27] How strategic investors can help international expansion be successful. Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation.Please take a moment and let us know what you think of the podcast, access our feedback survey here.

In this episode, we revisit a conversation with Jonathan Ng, CEO and Founder of Iterative Scopes, from Season 1. Iterative Scopes is a company pioneering the application of artificial intelligence-based precision medicine to gastroenterology with the aim of establishing a new standard of care for the detection and treatment of gastrointestinal diseases. Dr. Ng discusses why healthcare entrepreneurship is so often a winding path, how scepticism can be an asset for a founder, and why raising large amounts of money is often a double-edged sword for start-up teams. Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.

On the latest episode of the AWS Health Innovation Podcast, Dr. Yin He, Principal Business Development, Healthcare & Life Sciences Startups, welcomes Alex Zhavoronkov, the CEO of Insilico Medicine, to the show for a fascinating conversation about their transformative work at the intersection of AI & BioTech. Insilico Medicine is an end-to-end generative AI-driven biotech company. They harness the capabilities of their proprietary Pharma.AI platform to accelerate drug discovery & development. The conversation goes into detail about how Insilico uniquely combines AI and genomics to bridge computation and biology, enabling them to help global pharmaceutical companies accelerate their drug development. Listen in as Alex Zhavoronkov goes into detail about his and Insilico’s journey to leverage computational tools in chemistry & biology, and the how AI's capabilities evolved over time, ultimately helping them hone their approach. We also shed light on the ethical and regulatory challenges surrounding the application of AI for drug development and Insilico's strategies to address them. [03:55] Alex Zhavoronkov background & career journey [09:40] Shift to using computational tools in chemistry [16:40] AI's evolution over time & developing Insilico's core approach [24:20] Ethical and regulatory challenges of using AI for drug development [29:30] Bits meet atoms - automated labs & GenAI [34:10] Federating drug development - great research from every hospital [37:10] Advice for potential biotech entrepreneurs [42:36] The importance of the number 42 Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.

In this episode of AWS Health Innovation Podcast, Eric Zimmerman, Principal Healthcare & Life Sciences BD, Venture Capital & Startups at AWS, sits down with Sachin Patel, CEO of Apixio. They discuss Apixio's mission to improve patient outcomes by applying artificial intelligence (AI) to surface actionable insights that improve administrative, clinical, and financial outcomes for payers and providers. Learn more about Apixio's data-driven approach as Sachin walks us through detailed customer examples. Sachin also shares candid insights about the challenges of applying AI to accelerate healthcare innovation and the importance of bringing industry experts into the room to guide key decisions. Throughout the conversation, Sachin provides glimpses into the significant role of AI in navigating complex, unstructured, and federated healthcare data. AI, when appropriately applied, can empower healthcare providers and payers to deliver more effective, timely care. The episode reveals how Apixio is striving to create a world where accessible and actionable health data drives more personalized and affordable healthcare. Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.

In this episode, Amanda Goltz, U.S. Lead for Worldwide Healthcare Venture Capital and Startups at Amazon Web Services, hosts a profound & insightful conversation with Ben Beadle-Ryby, SVP, Commercial, and Co-Founder of AKASA. Discover how AKASA employs the power of artificial intelligence to transform revenue cycle management for leading healthcare institutions, thereby improving the patient experience and reducing administrative waste. Ben shares details on AKASA's impactful work with nearly 500 hospitals across the U.S., representing over a hundred billion in net patient revenue, touching nearly 10% of the US healthcare ecosystem. He provides insights into the enormous potential for automation within back office operations of healthcare systems, aiming to enhance the patient care experience and streamline health system processes.The conversation also highlights the tangible impacts AKASA delivers for its customers, such as reducing errors, accelerating receivable windows, and boosting overall revenue yield. Tune in for a view into the future of the healthcare revenue cycle.

Mike Tarselli, Chief Scientific & Knowledge Officer at TetraScience, is a leading expert in scientific data application in drug development. He discusses the impact of unifying data sources on accelerating drug discovery and the role of real-time data in healthcare decision-making. Tarselli emphasizes nurturing a diverse work culture and investing in mentorship to fuel innovation. He also highlights the importance of integrating AI and machine learning to enhance operational efficiency and shares his commitment to supporting future scientific talent.