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AI's Missed Healthcare Revolution?
Plus: AI leaders gather on Security
Hello Tensor Black Fans!
A security update that stopped planes from flying, Google’s rumored $23B acquisition of Wiz, and the tragic failure of the US secret service have brought security to the forefont of AI this week.
We also have some good news about Alzheimer’s, and the amazing growth of Dr. Fei Fei Lee’s new AI Lab to $1B of value in 4 months.
Read on to Level Up:
AI’s Missed Healthcare Revolution
AI Giants Withhold Tech from the EU
Tech Titans Collaborate on AI Security
Transforming AI with Spatial Intelligence
AI Predicts Alzheimer’s Early
Have a great week,
The TensorBlack Team
We asked ChatGPT to describe the recent winner of an NIH contest for applying AI to clinical trials (learn more).
OpenAI imagining doctors and drug developers using TrialGPT
You are an excellent science communicator explaining hard concepts in approachable yet scientifically sound metaphors.
Please explain how "TrialGPT" works, in less than 200 words, in 3-4 crisp bullets. TrialGPT recently won the NIH contest for the most innovative use of foundation models in clinical trials. Also mention what the NIH plans to do with the technology. Please search the web for the latest, detailed and precise information.
What’s Hot
Healthcare is missing AI's potential by focusing on efficiency rather than transformative patient care.
Details
Embrace the potential of AI: Healthcare should use AI to improve patient outcomes and address the loneliness epidemic.
Think like a patient: AI solutions should be framed around patient needs and benefits.
Rethink the patient-provider dynamic: Prepare for a future where patients are more informed and proactive with AI.
Why it Matters
AI can revolutionize healthcare by empowering patients and improving outcomes, but only if the industry shifts focus from internal efficiency to patient-centered innovation.
Meta and Apple are withholding advanced AI models from the EU due to regulatory concerns, potentially disadvantageous to European companies in the global AI race.
Details
Meta will not launch its new multimodal AI model in the EU, following Apple's similar decision.
The EU's new AI Act and its compliance deadlines are major factors in these decisions.
This move could hinder European companies from accessing cutting-edge AI technologies.
Why it Matters
European oncologists and caregivers may miss out on advanced AI tools that could enhance patient care and streamline operations, impacting their ability to stay competitive and innovative in the field.
Google, OpenAI, Microsoft, and others form CoSAI to tackle AI security issues with open-source solutions.
Details
CoSAI is a new coalition under the OASIS organization.
The initiative focuses on creating methodologies, frameworks, and tools to enhance AI security.
It aims to address data leaks and discrimination concerns in generative AI.
Why it Matters
AI security is crucial for protecting sensitive patient data and ensuring fair treatment in healthcare applications. This unified approach by tech giants can lead to more robust and secure AI tools in oncology.
Fei-Fei Li's World Labs aims to revolutionize AI with advanced spatial intelligence, backed by top investors.
Details
World Labs, founded by AI expert Fei-Fei Li, is valued at over $1 billion.
The startup focuses on AI that processes visual data like humans, enhancing 3D world interaction.
Investors include Andreessen Horowitz and Radical Ventures, inspired by ChatGPT's success.
Why it Matters
World Labs' advancements in spatial intelligence could transform robotics and virtual reality, offering oncologists new “ambient video” tools for patient care and treatment planning.
AI tool predicts Alzheimer's with 80% accuracy using cognitive tests and MRI scans, enabling early intervention and personalized treatment.
Details
Developed by University of Cambridge researchers.
Utilizes accessible data like cognitive tests and MRI scans.
Predicts disease progression speed for personalized treatment plans.
Why it Matters
This AI tool can improve patient care by enabling early intervention and reducing unnecessary invasive tests, while also accelerating the development of new Alzheimer's treatments.