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Expert Reveals Future of AI in Medical Trials 🧑⚕️
Latest on OpenAI & Apple partnership, Musk explains why he moved NVIDIA chips, Pika raises $80M, Perplexity Pages overview, AI in medical trials and more!
Everyday AI
June 05, 2024
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Outsmart The Future
Today in Everyday AI
7 minute read
🎙 Daily Podcast Episode: Why do clinical trials take years and cost tons of money? How can AI help? We have an expert dish on how AI can improve clinical trials, including a wild future with WAY fewer humans invovledx. Give it a listen.
🕵️♂️ Fresh Finds: New details emerge on Apple’s long-term AI plans, Google launches a new AI startup program, eBay adds an AI tool for product images and why Chinese companies are designing less powerful AI processors. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: Musk explains why he diverted NVIDIA chips from Tesla, Pika raises $80M and Microsoft’s new weather forecast system is full of AI. For that and more, read on for Byte Sized News.
🚀 AI In 5: This new feature from Perplexity might just change the world of AI SEO. See it here
🧠 Learn & Leveraging AI: We’re breaking down what an expert had to say about how AI can impact the future of medical trials. Keep reading for that!
↩️ Don’t miss out: Did you miss our last newsletter? We talked about Apple's AI future, Intel's AI chips and AI bigs calling for whistleblower protection. Check it here!
Harnessing AI Technologies for Next-Generation Clinical Trials 🧑⚕️
Clinical trials can sometimes take years and cost millions of dollars.
Why is that?
And how can AI help bring faster and better outcomes?
Saurabh Jain, Executive Chairman at TrialKey.ai, joins us to discuss how we can harness AI for clinical trials.
Join the conversation and ask Jordan and Saurabh questions on AI in clinical trials here.
Also on the pod today:
• Exploring ChatGPT in Clinical Trials 🤔
• State and Limitations of Traditional Clinical Trials 🏥
• Role of GenAI in Modern Drug Development 💊
It’ll be worth your 32 minutes:
Listen on our site:
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Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – Second is AI-powered codebase maintenance, Fliki turns text into videos with AI voices and Formshare creates conversational AI forms.
OpenAI and Apple — A new report details the latest of what we should expect from the OpenAI and Apple partnership to be unveiled next week at Apple’s WWDC. What’s new? Apple sees the partnership not as a long-term fix.
Big Tech – Google has launched a new startup program to bring AI to public infrastructure. Google and Alphabet have also announced a new CFO.
Trending in AI - eBay has launched an AI background tool for product images.
AI Chips – Some Chinese AI chip companies are designing less powerful processors to comply with U.S. export controls and maintain access to TSMC.
Read This – Stanford University has apologized for creating an AI model that was very similar to a Chinese project.
1. Elon Explains Why He Diverted NVIDIA AI Chips from Tesla 👀
Elon Musk's decision to divert NVIDIA's AI chips originally meant for Tesla has now been confirmed by Musk himself. Elon mentioned on X that Tesla couldn't use NVIDIA chips effectively. He redirected 12,000 NVIDIA chips from Tesla to X.
NVIDIA staff also noted a conflict between Musk's statements on X and during an earnings call with their company. The move has raised eyebrows and sparked speculation within the tech industry.
2. Pika Raises $80 Million in Venture Capital 💰
Pika, a rising player AI video-generation scene, just raised an impressive $80 million in venture capital funding. This injection of cash comes as the competition heats up with industry giants like OpenAI and Google. Joining forces with other AI video startups Runway and Synthesia, Pika is set to revolutionize the game.
The surge in venture capital investment reaching $25.9 billion in the first quarter of 2024 highlights the rapid growth and potential of the AI and machine-learning industry
3. Microsoft Unveils Aurora, AI-based weather forecasting system 🌦
Microsoft has just unveiled "Project Aurora," a groundbreaking initiative set to revolutionize cloud computing. This ambitious project aims to enhance data processing capabilities and boost efficiency for businesses worldwide. With Aurora, Microsoft is aiming to set a new standard in cloud technology, promising unparalleled performance and reliability.
4. U.S. Treasury Secretary Warns of AI Risks in Financial System 🇺🇸
Janet Yellen's latest address at the US Treasury Department didn't hold back on the potential pitfalls of AI integration in finance. While AI promises to revolutionize banking operations with advanced capabilities like fraud detection and customer service, Yellen cautions that the rapid evolution of AI could introduce new risks.
From the opacity of AI models to biased outcomes and the challenge of managing faulty data, Yellen's revelations shed light on the complexities and dangers lurking beneath the surface of the financial sector.
5. UAE and US AI Relationship Blossoms into Billion-Dollar Deal 🤝
The UAE, backed by $2 trillion in sovereign wealth funds, is making bold moves to establish itself as a global AI hub. Microsoft's $1.5 billion stake in Abu Dhabi's G42 paves the way for cutting-edge collaborations in frontier technology.
With investments in AI developers and a keen focus on reducing oil dependency, the UAE is setting the stage for a transformative shift towards innovation and economic diversification.
6. Cisco Launches $1 Billion Fund for AI Startups 🚀
Cisco Systems is diving headfirst into the AI game with a massive $1 billion investment in startups focusing on secure and reliable artificial intelligence services. The tech giant has already put $200 million towards this goal, with investments in Mistral AI, Scale AI Inc., and Cohere Inc.
Cisco aims to incorporate these startups' technology into its own services, signaling a strategic move to stay ahead in the rapidly evolving AI industry.
Perplexity Pages: Boost Your SEO and Content Game!
This new feature from Perplexity might just change the world of AI SEO.
We dive into Perplexity Pages—an innovative feature that can make publishing easier and more efficient and help users get noticed in search results.
Check out today's AI in 5.
Or see this related video:
🦾How You Can Leverage:
Ever think about how long it takes for a new drug to hit the shelves?
A decade.
Ten. Long. Years.
In a world where instant gratification is king, this seems like an eternity. And then some.
The future key to cutting down on antiquated timelines and bringing new discoveries to more people?
Generative AI.
(I mean, what did you expect in a newsletter about AI?)
Imagine predicting the success of a clinical trial with 90% accuracy before it even starts. Sounds like science fiction, right?
Naaaah shorties. That’s the future.
Meet Saurabh Jain, the Executive Chairman of TrialKey AI.
Saurabh and his team are working to change the clinical trial landscape with AI, making the process faster, cheaper, and more efficient.
Gone are the days of guesswork and lengthy, expensive trials.
With AI, pharmaceutical companies can optimize trial design, predict outcomes, and bring life-saving drugs to market quicker than ever.
Let’s dive into the specifics Saurabh shared on the show.
Spoiler alert: Kinda jaw-dropping. 😱
1 – LLMs Bring Structure to Drug Discovery 📊️
Decades ago, drug discovery looked a LOT different. Sure, traditional AI has helped all along.
But there was only so much structured data.
So much of traditional drug discovery is in the details that can’t exactly show up in a spreadsheet.
You know?
The stuff that human researchers would spend hundreds or thousands of hours combing through and making sense of?
LLMs have changed that and drug discovery forever, Saurabh said.
Now, LLMs like ChatGPT and others can make sense of nuanced discovery details and help pharma companies and researchers better understand unstructured data.
Try this:
GenAI makes slow things faster. Even drug discovery.
This piece from Nature explores how AI is being integrated into clinical trials to enhance efficiency.
It mentions specific AI tools that predict trial outcomes, optimize trial design, and manage data, which can drastically reduce the time required to bring new drugs to market
2 – Predictive AI Before Trials Even Start 🔮
Why start from zero when you can start with hundreds of thousands of data points?
Predictive AI is a game-changer in clinical trials.
Saurabh said his team’s work shows that by analyzing data from hundreds of thousands of trials, AI can forecast trial success with 90% accuracy.
And using all of that data in trial design is crucial, as Saurabh pointed out that 80% of a trial’s success hinges on its design. (And only 20% on the actual drug itself. Wild, right?)
Poorly designed trials often lead to failure, regardless of the drug's potential. Optimizing design with AI can significantly boost your chances of success.
This 1-2 combination of predictive AI means pharmaceutical companies can avoid costly failures and focus resources on the most promising trials.
Try this:
Drug failure is a HUGE problem in the industry. We actually talked specifically about this issue with Chris Gibson, the CEO of Recursion.
3 – Human-free drug discovery? 🤔
Seems like everything in the future of Generative AI sounds a bit like science fiction, right?
To over simplify things, here’s how Saurabh mapped out the current course of clinical trials, which can take a decade or longer:
Phase 1: Safety
Phase 2: Efficacy
Phase 3: Large-Scale Efficacy
Phase 4: Go-to-Market (GTM)
And right now, that multi-phase, multi-year process involves a ton of humans.
But probably less so in the future, because Generative AI and digital simulations can reduce the need for so many humans in the loop.
Saurabh predicts that the number of human clinical trials will decrease from 35,000 to around 5,000 per year, with millions of trials conducted in AI simulators instead.
Try this:
Yeah, yeah, we get it.
Trying to predict something a decade or so down the line is a dangerous game to play.
In the same way that young kids today may do their complete driver’s education training in simulators, he sees a similar path in the future for drug discoveries.
We love his hot take: It could be considered unethical in the future for a drug to be tested on a human if it hasn’t first been put through AI simulations first.
This fascinating study from Nature looks at how digital twins of actual human cells and a lotta AI are changing how drug discovery is done.
⌚
Numbers to watch
57%
A recent study by the IBM Institute for Business Value found that 57% of BFM CEOs view generative AI as a crucial competitive asset.
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