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Larry Ellison: Good afternoon, and thank you for joining us today. We’re at a pivotal moment in the fight against cancer—a moment where technology, innovation, and collaboration are converging to transform the way we detect, treat, and even prevent this disease.
In this imaginary conversation, I’m joined by some of the most brilliant minds in medicine, technology, and global health to explore how AI, robotics, mRNA vaccines, and CRISPR are redefining cancer care. Together, we’ll discuss not just the science, but the responsibility we have to make these advancements accessible to everyone, everywhere.
This isn’t just about innovation; it’s about creating a future where cancer no longer defines lives. Let’s get started.

AI-Powered Early Detection: Transforming Cancer Screening Through Blood Tests
Larry Ellison:
Good afternoon, everyone. Thank you for joining this discussion on one of the most transformative advancements in medicine: AI-powered early cancer detection. With us today, we have an incredible panel of experts—Dr. Eric Topol, Dr. Fei-Fei Li, Dr. Richard Klausner, Dr. Demis Hassabis, and Dr. Atul Butte. Let’s dive in.
To start, Dr. Klausner, as someone who’s spearheaded early cancer detection efforts at Grail, can you tell us why detecting cancer through blood tests is a game-changer?
Dr. Richard Klausner:
Thank you, Larry. Detecting cancer early has always been our best shot at saving lives. The idea that fragments of cancer tumors—circulating tumor DNA—float in the bloodstream means we can now identify cancer before it manifests physically. What’s revolutionary is using AI to sift through this data. It’s not just about finding the cancer—it’s about predicting which cancers are life-threatening. AI allows us to achieve this with unprecedented accuracy and speed.
Larry Ellison:
Fascinating. Dr. Fei-Fei Li, you’ve been at the forefront of AI in healthcare. How does AI take this massive amount of data from blood tests and turn it into actionable insights?
Dr. Fei-Fei Li:
Thank you, Larry. AI thrives on pattern recognition. In this case, we’re training models on millions of blood samples—both from healthy individuals and cancer patients. By analyzing these, AI identifies subtle molecular signatures unique to cancer. But it’s more than just detection—it’s risk stratification. AI can predict whether a detected cancer is aggressive, slow-growing, or even dormant, allowing clinicians to tailor treatments and avoid overtreatment.
Larry Ellison:
Dr. Topol, you’ve been advocating for AI integration in diagnostics for years. How close are we to making this a reality in everyday clinical settings?
Dr. Eric Topol:
Closer than ever, Larry. We’re seeing pilot programs in hospitals using liquid biopsies combined with AI to detect multiple cancers from a single blood test. But adoption relies on two things: accessibility and trust. We need to bring costs down and ensure these systems are explainable, so doctors and patients feel confident in their decisions. That’s why collaborations between tech leaders, like yourself, and medical institutions are critical.
Larry Ellison:
Excellent point. Demis, from an AI research perspective, what challenges are we facing in fine-tuning these algorithms for cancer detection?
Dr. Demis Hassabis:
The biggest challenge is variability. Cancer is highly complex—there are hundreds of subtypes, and they behave differently across individuals. AI models need vast, diverse datasets to generalize effectively. Additionally, interpreting AI results in a transparent way is crucial for adoption. At DeepMind, we’re working on models that don’t just give predictions but explain the "why" behind them, which will help doctors trust these systems.
Larry Ellison:
Transparency is key. Dr. Butte, you’re an expert in big data and medicine. What role do you see data sharing playing in advancing this field?
Dr. Atul Butte:
It’s foundational, Larry. The power of AI lies in its ability to learn from large datasets. For this to work, hospitals, research institutions, and biotech companies need to share anonymized patient data. Initiatives like cancer registries and global data networks are already helping. But we need better incentives for collaboration and more robust safeguards to protect patient privacy.
Larry Ellison:
Great insights, everyone. Before we wrap up, let’s look to the future. If we get this right—if AI-powered blood tests become widespread—what does the world look like in 10 years? Dr. Topol, let’s start with you.
Dr. Eric Topol:
In 10 years, I envision annual blood tests that can detect dozens of cancers early. Mortality rates will drop significantly, and the fear of cancer could fade. More importantly, this technology will become routine—not just for the privileged few but for everyone.
Larry Ellison:
A powerful vision. Dr. Li?
Dr. Fei-Fei Li:
I see this as the beginning of personalized preventive care. AI won’t just detect cancer—it’ll guide individuals on their unique risk factors and suggest proactive steps to stay healthy.
Larry Ellison:
And Dr. Hassabis?
Dr. Demis Hassabis:
I believe AI will help uncover unknown patterns in cancer biology, leading to entirely new treatments. The technology will grow to not only detect but also predict and even prevent cancers before they form.
Larry Ellison:
Thank you, Demis. To close, this has been an inspiring discussion. It’s clear that AI has the potential to fundamentally transform cancer care as we know it. Thank you all for sharing your expertise, and I look forward to seeing these advancements become reality.
Personalized Medicine: The Role of mRNA Vaccines in Individualized Cancer Treatment
Larry Ellison:
Welcome, everyone, to this important discussion about personalized medicine and the role of mRNA vaccines in individualized cancer treatment. I’m thrilled to have such a distinguished panel with us today: Dr. Katalin Karikó, Dr. Robert Langer, Dr. Siddhartha Mukherjee, Dr. Jennifer Doudna, and myself. Let's get started.
Dr. Karikó, as one of the pioneers behind mRNA technology, can you explain how this platform works and why it’s so promising for cancer treatment?
Dr. Katalin Karikó:
Thank you, Larry. mRNA technology is revolutionary because it allows us to program the body’s own cells to fight diseases. In cancer treatment, we can sequence the tumor's unique genetic mutations and design an mRNA vaccine that teaches the immune system to recognize and attack the cancer cells. It’s a completely personalized approach because each vaccine is tailored to the individual’s cancer profile.
Larry Ellison:
That’s incredible. Dr. Langer, you’ve been instrumental in making mRNA vaccines scalable and accessible. What are the current challenges in using this technology for cancer treatment?
Dr. Robert Langer:
Thanks, Larry. One of the biggest challenges is production at scale. Each mRNA vaccine for cancer is highly personalized, requiring rapid sequencing and manufacturing. While we’ve made tremendous progress using AI and robotics to speed up this process, we still need to streamline it further to make it affordable and accessible for everyone. Another challenge is delivery—ensuring that these vaccines reach the right cells in the body effectively.
Larry Ellison:
Excellent points. Dr. Mukherjee, you’ve written extensively about cancer. From a medical perspective, how does the introduction of mRNA technology change the landscape of cancer treatment?
Dr. Siddhartha Mukherjee:
Larry, mRNA technology represents a paradigm shift. Traditional cancer treatments like chemotherapy and radiation are generalized—they attack rapidly dividing cells but don’t distinguish between healthy and cancerous ones. Personalized mRNA vaccines are precision tools that train the immune system to target cancer cells specifically, minimizing collateral damage. This approach also holds the promise of creating “immune memory,” reducing the risk of recurrence.
Larry Ellison:
Fascinating. Dr. Doudna, your work with CRISPR has revolutionized gene editing. How does this intersect with mRNA technology in the fight against cancer?
Dr. Jennifer Doudna:
That’s a great question, Larry. CRISPR and mRNA technologies are complementary. CRISPR can identify and edit the genetic mutations that drive cancer, while mRNA can be used to create vaccines that target those same mutations. In some cases, CRISPR can even be used to modify immune cells to make them more effective when combined with mRNA vaccines. The integration of these technologies is opening doors to entirely new cancer therapies.
Larry Ellison:
Incredible synergy there. Let’s talk about accessibility. Dr. Langer, how do we ensure that these life-saving treatments reach patients worldwide, not just in wealthy countries?
Dr. Robert Langer:
That’s a critical issue, Larry. It comes down to innovation in logistics and partnerships. We need to work with governments, NGOs, and private companies to create manufacturing hubs in different regions. AI and robotics can help us scale production and reduce costs, but global distribution requires infrastructure and collaboration.
Larry Ellison:
Dr. Karikó, what role does AI play in speeding up the development of these vaccines?
Dr. Katalin Karikó:
AI is essential, Larry. It accelerates the analysis of tumor gene sequences and helps design mRNA sequences that are optimized for the immune system. What used to take weeks or months can now be done in days, thanks to AI. This speed is critical for treating aggressive cancers where time is of the essence.
Larry Ellison:
Dr. Mukherjee, looking ahead, what do you think the future holds for personalized cancer vaccines?
Dr. Siddhartha Mukherjee:
I see a future where cancer is no longer a death sentence. With personalized mRNA vaccines, cancer treatment will become less invasive, more effective, and potentially preventative. Imagine routine blood tests detecting early-stage cancers and mRNA vaccines neutralizing them before they progress. It’s a future within our reach.
Larry Ellison:
Dr. Doudna, your closing thoughts?
Dr. Jennifer Doudna:
The future of cancer treatment lies in collaboration. By combining mRNA, CRISPR, AI, and other technologies, we’re building a toolbox that will make personalized medicine a standard of care. This is not just about treating cancer—it’s about rewriting the story of human health.
Larry Ellison:
Thank you all for sharing your insights. It’s clear that personalized medicine and mRNA technology have the potential to redefine how we treat cancer. The future is bright, and I’m optimistic about what’s to come.
Gene Editing and CRISPR: Unlocking the Future of Cancer Prevention

Larry Ellison:
Welcome, everyone, to today’s discussion on one of the most groundbreaking areas of medicine—gene editing and CRISPR—and its potential to prevent cancer. Joining me are four remarkable minds: Dr. Jennifer Doudna, Dr. Siddhartha Mukherjee, Dr. Richard Klausner, Dr. Demis Hassabis, and Dr. Atul Butte. Let’s get started.
Dr. Doudna, you co-discovered CRISPR, the tool that’s revolutionized genetic science. How can gene editing help in the fight against cancer?
Dr. Jennifer Doudna:
Thank you, Larry. CRISPR allows us to precisely edit the DNA of living cells. In cancer prevention, we can target and repair genetic mutations that increase cancer risk, such as BRCA mutations linked to breast and ovarian cancer. It’s like fixing a typo in a book before the story takes a wrong turn. The goal is to prevent cancer from developing by addressing the root cause at the genetic level.
Larry Ellison:
That’s fascinating. Dr. Mukherjee, you’ve written about the genetic basis of cancer. How do you see CRISPR transforming cancer prevention in clinical practice?
Dr. Siddhartha Mukherjee:
Larry, CRISPR is a transformative tool because it addresses the heritable and somatic mutations that drive cancer. Imagine being able to screen individuals for high-risk mutations and then editing those mutations out of their genome. Beyond prevention, CRISPR can also be used to engineer immune cells to better target cancer, creating a dual benefit of prevention and treatment. The challenge lies in ensuring safety, precision, and ethical use as we bring these technologies to patients.
Larry Ellison:
Safety and ethics are critical. Dr. Klausner, you’ve spent years in cancer research. How do we balance the promise of CRISPR with the risks, such as off-target effects?
Dr. Richard Klausner:
Great question, Larry. While CRISPR is incredibly precise, we need to ensure it edits only the intended gene and doesn’t accidentally affect others. Advances in AI are helping us predict and minimize off-target effects. Another consideration is the ethical implications of germline editing—making changes that can be inherited. We must proceed cautiously, with strict oversight, while focusing on somatic cell editing for now, which doesn’t affect future generations.
Larry Ellison:
Dr. Hassabis, AI is clearly playing a big role here. How can AI improve the precision and safety of CRISPR-based cancer prevention?
Dr. Demis Hassabis:
AI is essential, Larry. At DeepMind, we’re using AI to predict how proteins fold, which has significant implications for understanding how gene edits might affect the body. For CRISPR, AI helps design more precise guide RNAs to target the right genes with minimal risk. It also accelerates our ability to simulate and test these edits before applying them in a clinical setting, making the process safer and more efficient.
Larry Ellison:
That’s incredible. Dr. Butte, as an expert in big data, how can data analytics support the use of CRISPR in cancer prevention?
Dr. Atul Butte:
Data is the backbone of everything we’re discussing, Larry. By analyzing genetic data from millions of individuals, we can identify common mutations that increase cancer risk and use CRISPR to target them. AI-powered databases also help match patients to clinical trials, ensuring that those who could benefit from gene editing technologies can access them. Sharing and analyzing this data globally is critical to advancing CRISPR-based prevention.
Larry Ellison:
Let’s look ahead. Dr. Doudna, what does the future of cancer prevention with CRISPR look like in 10 years?
Dr. Jennifer Doudna:
In 10 years, I envision genetic screening becoming as routine as blood tests, with CRISPR used to correct high-risk mutations before cancer develops. It won’t just be about preventing cancer in individuals—we’ll also see public health initiatives that use gene editing to reduce cancer rates on a population level.
Larry Ellison:
Dr. Mukherjee, your thoughts?
Dr. Siddhartha Mukherjee:
I see a future where CRISPR is integrated into preventive care, alongside other tools like mRNA vaccines and AI diagnostics. The combination of these technologies will create a healthcare system that focuses on prevention rather than treatment, fundamentally changing how we approach cancer and other diseases.
Larry Ellison:
Dr. Klausner, how do we ensure equitable access to these advancements?
Dr. Richard Klausner:
It’s a challenge, Larry, but one we must solve. Global collaboration is key. We need to work with governments, non-profits, and industry leaders to make these technologies affordable and accessible, especially in low-income regions. Cancer prevention should not be a privilege—it should be a universal right.
Larry Ellison:
Dr. Hassabis, any final thoughts on the role of AI in this future?
Dr. Demis Hassabis:
AI will be the glue that holds these advancements together, from improving CRISPR precision to analyzing genetic data at scale. The ultimate goal is to create a seamless ecosystem where AI, gene editing, and other technologies work together to prevent cancer before it starts.
Larry Ellison:
Thank you all for this enlightening discussion. Gene editing and CRISPR represent a future where cancer prevention is not only possible but achievable. I’m excited to see how your collective efforts shape this future.
Integrating Robotics and AI for Accelerated Cancer Vaccine Production
Larry Ellison:
Good afternoon, everyone. Today, we’re diving into a topic at the cutting edge of healthcare innovation—how robotics and AI can accelerate the production of cancer vaccines. Joining me are Dr. Katalin Karikó, Dr. Robert Langer, Dr. Fei-Fei Li, Dr. Eric Topol, and Dr. Demis Hassabis. Let’s begin.
Dr. Karikó, you were a pioneer in mRNA technology. How has robotics already influenced the production of mRNA vaccines, and how can it evolve to handle cancer vaccines?
Dr. Katalin Karikó:
Thank you, Larry. Robotics has been a game-changer in scaling up vaccine production. For COVID-19, we used robotic systems to automate critical processes like lipid nanoparticle formulation and mRNA synthesis. For cancer vaccines, this becomes even more vital because every vaccine must be personalized. Robotics can automate the sequencing, synthesis, and packaging steps, dramatically reducing the time needed to create a patient-specific vaccine.
Larry Ellison:
Fascinating. Dr. Langer, you’ve worked on many breakthroughs in vaccine technology. What role does robotics play in making these processes more scalable and accessible?
Dr. Robert Langer:
Thanks, Larry. Robotics allows us to achieve precision and reproducibility on a scale that manual processes can’t match. With cancer vaccines, scalability is critical because each patient’s vaccine needs to be manufactured quickly. AI-integrated robotics can monitor and adjust processes in real-time, ensuring quality while reducing waste. This makes personalized treatments not only faster but also more affordable.
Larry Ellison:
Dr. Li, AI and robotics often work hand in hand. How is AI enhancing robotics in cancer vaccine production?
Dr. Fei-Fei Li:
Great question, Larry. AI optimizes every step of the robotic workflow, from detecting errors in real-time to predicting the best conditions for vaccine synthesis. Machine learning models analyze massive amounts of data generated during production, enabling robots to self-adjust and improve over time. This integration ensures that each vaccine batch meets exacting standards, even when scaled globally.
Larry Ellison:
Dr. Topol, as someone focused on the clinical side of healthcare, how do you see this technology making its way into everyday practice?
Dr. Eric Topol:
Larry, these advancements will revolutionize cancer treatment delivery. Imagine a future where a patient’s tumor is sequenced, and a personalized vaccine is ready within days, thanks to robotics and AI. This will drastically reduce delays between diagnosis and treatment. Additionally, decentralized production centers using these technologies could make vaccines available even in remote areas, democratizing access to cutting-edge treatments.
Larry Ellison:
Dr. Hassabis, from a research standpoint, how can AI further push the boundaries of what robotics can achieve in cancer vaccine development?
Dr. Demis Hassabis:
AI is the ultimate problem-solver, Larry. In cancer vaccine production, it can identify bottlenecks and propose solutions, whether that’s optimizing the chemical reactions involved or redesigning robotic workflows. At DeepMind, we’ve also been exploring AI models that predict how mRNA will behave in the body, helping design vaccines that are more effective and easier to produce. AI essentially accelerates innovation at every level.
Larry Ellison:
This is all incredibly exciting. Dr. Karikó, what do you see as the next big hurdle for integrating robotics and AI into cancer vaccine production?
Dr. Katalin Karikó:
One of the biggest challenges is adapting these systems for personalized treatments. Unlike traditional vaccines, cancer vaccines require a highly individualized approach, which means robotics and AI must handle variability while maintaining efficiency. Building this flexibility into the system is our next big step.
Larry Ellison:
Dr. Langer, what about the cost factor? Can robotics and AI make these treatments affordable for a wider population?
Dr. Robert Langer:
Absolutely, Larry. Automation reduces labor costs and minimizes errors, which directly lowers production expenses. As these technologies become more widespread, economies of scale will drive costs down even further. The key is investment in infrastructure and global collaboration to ensure these savings reach patients everywhere.
Larry Ellison:
Dr. Li, how do we ensure that these technologies are ethically implemented, particularly when it comes to data and accessibility?
Dr. Fei-Fei Li:
That’s an important question, Larry. Ethical implementation requires transparency in how AI systems make decisions and safeguards to protect patient data. It also involves designing systems that are accessible to low-resource settings, ensuring equitable access. This is where global partnerships and regulatory frameworks play a critical role.
Larry Ellison:
Dr. Topol, how do you envision these advancements transforming cancer care in the next decade?
Dr. Eric Topol:
In the next 10 years, I see cancer vaccines becoming a routine part of care. With robotics and AI, the process will be so efficient that personalized treatments will no longer be a luxury but a standard option. This will reduce cancer mortality rates and give patients a better quality of life.
Larry Ellison:
Dr. Hassabis, your vision for the future?
Dr. Demis Hassabis:
I envision a future where robotics and AI work seamlessly to make cancer treatments faster, more precise, and universally available. These technologies will continue to learn and improve, driving innovation in ways we can’t yet fully predict. The ultimate goal is a world where cancer is not just treatable but preventable.
Larry Ellison:
Thank you all for this enlightening discussion. Robotics and AI are paving the way for a future where personalized cancer vaccines can be produced at unprecedented speed and scale. Together, we’re taking significant steps toward ending cancer as we know it.
Global Collaboration for Universal Cancer Care and Prevention
Larry Ellison:
Welcome, everyone, to our final discussion on a critical subject—global collaboration for universal cancer care and prevention. Joining me today are Dr. Susan Desmond-Hellmann, Dr. Siddhartha Mukherjee, Dr. Richard Klausner, Dr. Robert Langer, and Dr. Jennifer Doudna. Together, we’ll explore how the global community can unite to make cutting-edge cancer care accessible to all.
Dr. Desmond-Hellmann, you’ve worked extensively in global health. Why is collaboration so essential in the fight against cancer?
Dr. Susan Desmond-Hellmann:
Thank you, Larry. Cancer doesn’t recognize borders—it’s a global challenge that requires a global response. Collaboration allows us to share knowledge, resources, and infrastructure. For example, low-income countries often lack access to diagnostics and treatments. By sharing technology, training healthcare workers, and building local manufacturing hubs, we can bridge these gaps and ensure that everyone benefits from medical advances.
Larry Ellison:
That’s a great point. Dr. Mukherjee, you’ve written about the history of cancer treatment. What lessons can we learn from the past to guide future collaboration?
Dr. Siddhartha Mukherjee:
Larry, history teaches us that siloed efforts limit progress. Some of the greatest breakthroughs, like the development of chemotherapy, came from multidisciplinary and multinational collaborations. Today, we have tools like AI, gene editing, and mRNA technology, but their full potential can only be realized if countries and institutions work together. Collaboration accelerates innovation and ensures that treatments are developed with diverse populations in mind.
Larry Ellison:
Dr. Klausner, you’ve been at the forefront of early cancer detection. How can global partnerships improve access to these critical technologies?
Dr. Richard Klausner:
Global partnerships are vital, Larry. Early cancer detection tools, like liquid biopsies, require robust infrastructure for testing and follow-up care. Partnerships with governments, NGOs, and private companies can help build this infrastructure in underserved regions. Additionally, data sharing across borders allows us to refine these technologies and ensure they work effectively for all populations, not just those in high-income countries.
Larry Ellison:
Dr. Langer, you’ve worked on scaling medical innovations. What role does industry play in making cancer care more accessible globally?
Dr. Robert Langer:
Industry has a critical role, Larry. Companies can invest in scaling production, reducing costs, and making technologies like mRNA vaccines and diagnostics available worldwide. Partnerships between industry and governments can create subsidies or tiered pricing models to ensure affordability. Another key factor is innovation in supply chains to get treatments to remote areas quickly and efficiently.
Larry Ellison:
Dr. Doudna, as a scientist, how do we ensure that emerging technologies like CRISPR are accessible to everyone, not just the wealthy?
Dr. Jennifer Doudna:
That’s a challenge we must address, Larry. Accessibility starts with education and training—ensuring that scientists and healthcare providers worldwide can use these technologies effectively. Open-source research and affordable licensing models are also crucial. Collaboration with international organizations can help bring CRISPR and similar tools to regions where they’re needed most, leveling the playing field for global health.
Larry Ellison:
Dr. Desmond-Hellmann, what are the key barriers to global collaboration in cancer care, and how can we overcome them?
Dr. Susan Desmond-Hellmann:
The biggest barriers are funding, infrastructure, and political will. Many countries face competing health priorities and limited budgets. To overcome this, we need sustained investment from both public and private sectors, as well as innovative financing models like global cancer funds. Infrastructure is equally critical—we need to invest in diagnostic labs, training programs, and treatment facilities. Finally, strong advocacy can help prioritize cancer care on global health agendas.
Larry Ellison:
Dr. Mukherjee, what role does data sharing play in global collaboration?
Dr. Siddhartha Mukherjee:
Data sharing is fundamental, Larry. Large, diverse datasets allow us to refine AI models, identify genetic markers for cancer, and develop treatments that work for all populations. However, this requires robust data security and governance frameworks to protect patient privacy while fostering global collaboration. Trust is key—countries and institutions must feel confident that shared data will be used ethically and equitably.
Larry Ellison:
Dr. Klausner, how can technology help bridge the gap between low-resource and high-resource regions?
Dr. Richard Klausner:
Technology can make advanced cancer care more accessible in several ways. Portable diagnostic devices, telemedicine, and AI-driven tools can bring world-class care to remote areas. For example, low-cost, AI-powered imaging systems can enable early detection in places where traditional infrastructure is lacking. Technology doesn’t just bridge gaps—it leapfrogs over them, bringing solutions directly to those in need.
Larry Ellison:
Dr. Langer, looking ahead, what’s your vision for global cancer care in 10 years?
Dr. Robert Langer:
In 10 years, I hope to see a world where personalized cancer treatments, such as mRNA vaccines, are available to everyone, regardless of location or income. Industry, governments, and NGOs must work together to make this vision a reality. Advances in robotics and AI will play a big role in achieving this by reducing costs and improving accessibility.
Larry Ellison:
Dr. Doudna, your vision?
Dr. Jennifer Doudna:
I envision a future where cancer prevention and treatment are integrated into global healthcare systems. Technologies like CRISPR will be used not just to treat cancer but to prevent it entirely, and these innovations will be available to all, thanks to global collaboration and open science.
Larry Ellison:
Thank you all for your insights. It’s clear that the fight against cancer is not just a technological challenge but a global one. By working together, we can ensure that no one is left behind in the pursuit of better health.
Short Bios:
Larry Ellison – Co-founder and CTO of Oracle, visionary in integrating AI and robotics into healthcare, and a strong advocate for personalized medicine and early cancer detection.
Dr. Katalin Karikó – Pioneer of mRNA technology, instrumental in developing COVID-19 vaccines, and a leading voice in using mRNA for cancer vaccines and precision medicine.
Dr. Robert Langer – Co-founder of Moderna and a biotechnology innovator, specializing in scalable production methods for personalized vaccines and advanced drug delivery systems.
Dr. Fei-Fei Li – AI expert and professor at Stanford University, specializing in applying AI to healthcare to improve diagnostics, treatment efficiency, and global health equity.
Dr. Eric Topol – Renowned cardiologist, geneticist, and digital medicine leader, focusing on the integration of AI and data analytics into healthcare for better patient outcomes.
Dr. Demis Hassabis – CEO of DeepMind and a pioneer in AI research, using advanced machine learning to solve complex biological challenges, including cancer research.
Dr. Jennifer Doudna – Nobel laureate and co-discoverer of CRISPR technology, leading advancements in gene editing for cancer prevention and personalized medicine.
Dr. Siddhartha Mukherjee – Oncologist and Pulitzer Prize-winning author of The Emperor of All Maladies, exploring the history and future of cancer care and treatment.
Dr. Richard Klausner – Former director of the National Cancer Institute and founder of Grail, specializing in early cancer detection through liquid biopsy technology.
Dr. Susan Desmond-Hellmann – Physician-scientist, former CEO of the Gates Foundation, and a global health leader advocating for equitable access to cancer prevention and care.
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