 Hands down, the most exciting technology in the world right now is GPT-4, and large language models in general, which are being given new skills at a wild pace. And although projects like Chaos GPT, which was built to destroy humanity, tends to grab a lot of headlines, for every one of those, there are hundreds more being used to advance humanity. This is especially true in the longevity and medical field in general. While GPT-5 and beyond are on the horizon and coming closer every day, we haven't even scratched the surface of what GPT-4 is capable of. It's already today, streamlining doctors' notes and paperwork, it's synthesizing new chemicals that have never been tested, and providing faster diagnostics. In this video, I'll cover some amazing ways GPT-4 is shattering the medical landscape, making healthcare better, faster, and cheaper, and talk about AI's potential for radically changing longevity in the not-so-distant future. First up, drug discovery. AbSci is a biotech company that is already harnessing generative AI to innovate in drug development. There are thousands of life-saving therapies waiting to be discovered, but finding each one is like looking for a needle in a haystack. The traditional process of drug discovery is felt like, well, if we burn enough money, eventually a drug shows up, right? Well, sometimes you burn the money and no drug shows up. Money gone, no drug. Reminds me of every trip I've had to Mexico. Using a zero-shot AI model, AbSci was able to design de novo therapeutic antibodies that bind to specific targets without relying on any training data from antibodies already known to bind to those targets. This approach generates antibody designs that are unlike anything found in any existing antibody databases, resulting in novel compounds with potentially higher efficacy. Another company called Generate Biomedicine recently partnered with the University of Texas MD, Anderson Cancer Center, to co-develop protein therapeutics for advanced cancers. Here's the CEO Mike Nally talking about their tech. This technology basically allows us to come up with new concepts that are mathematically correct, almost instantaneously and on a perpetual basis. So we're expanding that opportunity set from basically one drop of water until an entire bucket of potential protein concepts. And if you think about that from a biologics and a, you know, human therapeutic perspective, these could be the new medicines that cure some of the greatest diseases in the world. The promise of generative biology goes beyond existing proteins found in nature and can create novel proteins purpose-built for your specific needs. Trial and error drug discovery is like a horse and buggy compared to generative AI drug discovery. GPT-4 and other generative AI technologies are simply faster, more effective, and affordable ways to find treatments. Next up, diagnostics. In today's healthcare landscape, traditional diagnostic methods can feel like playing a high-stake games of whack-a-mole with human error, potential misdiagnosis, and unnecessary testing rearing their ugly heads. But with the advent of GPT-4, diagnostics in healthcare are on the cusp of a revolution. Generative AI's unparalleled pattern recognition and natural language understanding capabilities hold the promise of improving diagnostic accuracy, ultimately making healthcare better, faster, and cheaper. Google's MedPalm-2 consistently performed at an expert doctor level on medical exam questions, scoring 85%. This is an 18% improvement from MedPalm's previous performance. Dr. Isaac Kohane, a computer scientist at Harvard and a physician, recently put GPT-4 to the test, discovering it was able to answer U.S. medical exam licensing questions correctly more than 90% of the time. According to Dr. Kohane, GPT-4 even demonstrated better clinical judgment than many doctors he has observed. In one stunning example, GPT-4 correctly diagnosed a rare 1 in 100,000 condition using only a few key details provided by Dr. Kohane. Despite its impressive capabilities, GPT-4 is not without its limitations. The AI model can still make mistakes and may occasionally produce incorrect information. Dr. Kohane writes in his book The AI Revolution in Medicine that he was both impressed and horrified. On the one hand, I was having a sophisticated medical conversation with a computational process, he wrote. On the other hand, just as mind-blowing was the anxious realization that millions of families would soon have access to this impressive medical expertise, and I could not figure out how we could guarantee or certify that GPT-4's advice would be safe or effective. Growing pains aside, the implications are incredibly exciting. With faster and more accurate diagnoses, GPT-4 has the potential to significantly reduce misdiagnosis rates and unnecessary testing, leading to better resource allocation and cost savings in the healthcare industry. But it's like Tesla's full self-driving software. It still needs a human in the driver's seat, taking responsibility and intervening when necessary. In addition to its diagnostic prowess, GPT-4 can also assist doctors in communicating with patients more effectively, translating medical jargon into easily understandable language and even providing suggestions for compassionate bedside manners. And when it comes to cracking jokes, it's already less awkward than when your gynecologist does it. And this leads me to my final example, paperwork. The staggering weight of excessive documentation and administrative tasks has long plagued healthcare professionals. In fact, one study revealed that doctors spend two hours on paperwork for every hour spent with a patient. This burden contributes to physician burnout and negatively affects the overall efficiency of the healthcare system. But now a groundbreaking solution has emerged. Microsoft and Nuance communications have created DAX Express, a fully automated clinical documentation application that seamlessly combines ambient AI with GPT-4's advanced reasoning and natural language capabilities. There's a device on the wall and it's listening to your conversation and it's able to discriminate between a patient and a physician and a family member and is able to generate a progress note and a patient encounter based on your conversation. These notes are instantly available for the clinician to review and the application is tightly integrated with electronic medical record software. Clinicians retain the final sign-off on the clinical note, ensuring accuracy and quality. The recent integration of GPT-4 into DAX Express has been a game changer. By reducing doctors' workloads and administrative tasks, DAX Express empowers doctors to focus more on their patients, reduces administrative costs and improves the accuracy of clinical notes, ultimately leading to better patient care. The effectiveness of this tech is evident in the reported 70% reduction in feelings of burnout and fatigue among physicians using it. Besides helping physicians, DAX Express can also help with patient diagnosis because their history is kept in constant context. To sum up, GPT-4 is revolutionizing healthcare, opening the door to a future filled with potential. Imagine the possibilities in the next 10 or even 5 years, specifically in the realm of curing aging. GPT-4 could help decode the intricate biological mechanisms of aging and generate original compounds and treatments that slow or even reverse the process. Personalized longevity planning that adapts to every choice you make so you always have a clear path to optimal health and vitality. Of course, there are risks and it's too early to take our hands off the wheel. Despite its advanced capabilities, GPT-4 is still prone to errors and hallucinations, which could lead to misdiagnosis, inappropriate treatments or even harmful interventions if not carefully managed. We have to confront these challenges head-on, ensuring a future where the incredible potential of AI and healthcare benefits everyone. But if we do, the future looks bright. We'd love to hear your thoughts and experiences regarding GPT-4 and its impact on healthcare. Share your insights or opinions in the comments section below and any personal stories you may have as well. Lastly, if you found this content valuable and you want to stay up to date on the latest breakthroughs and discussions, please remember to like, share and subscribe to our channel. By doing so, you'll not only be supporting our mission to share knowledge, but you'll be ensuring you never miss an exciting update in the world of AI and healthcare. Speaking of that, check out this next video right here.