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- AI and Portable MRI Promise Affordable Alzheimer’s Diagnosis
AI and Portable MRI Promise Affordable Alzheimer’s Diagnosis
plus: First Patient Dosed in AI-Backed Trial for Never-Smoker Lung Cancer
Happy Friday! It’s December 13th.
Since its July launch, over 125,000 people have downloaded the AI-powered "Death Clock" app, which predicts life expectancy using data from 1,200 studies involving 53 million participants. It's fascinating and a little unnerving… maybe it’s a reminder to spend more of today on what really matters!
Our picks for the week:
Featured Research: AI and Portable MRI Promise Affordable Alzheimer’s Diagnosis
Perspectives: The Aging Population’s Missing Voice in Healthcare AI
Product Pipeline: First Patient Dosed in AI-Backed Trial for Never-Smoker Lung Cancer
Policy & Ethics: Billionaire Venture Capitalist to Shape AI Policy
FEATURED RESEARCH
AI and Portable MRI Promise Affordable Alzheimer’s Diagnosis
Alzheimer’s disease is a growing global challenge, with cases projected to reach 139 million by 2050. MRI is a critical tool for detecting brain changes tied to cognitive decline, but its high cost and accessibility barriers limit widespread use.
A new approach combining portable, low-field MRI (LF-MRI) with AI may change that.
AI meets accessibility: Researchers at Massachusetts General Hospital developed a system that pairs LF-MRI with machine learning to improve imaging quality.
The AI algorithms analyze brain structures like the hippocampus (key in memory), and white matter hyperintensities, which signal neurodegeneration.
Tested on patients with mild cognitive impairment or Alzheimer’s-related dementia, this AI-enhanced LF-MRI produced results comparable to high-field MRI, at a fraction of the cost.
Bridging the gap: Portable LF-MRI machines are smaller, more affordable, and run on a single electrical outlet, making them ideal for low-resourced areas.
This technology can expand access to neuroimaging for early Alzheimer’s diagnosis and ongoing treatment monitoring, especially in settings like community clinics, emergency rooms, or even bedside care.
A future within reach: By integrating LF-MRI with AI, clinicians could offer cognitive tests, blood tests, and brain scans all in one visit.
This patient-centered approach reduces costs and creates a path toward more equitable access to critical diagnostic tools.
It’s exciting to think how many more patients and families could benefit from earlier, easier diagnoses!
For more details: Full Article
Brain Booster
AI is being developed to help diagnose frostbite in snowy regions. Which of the following might actually involve AI technology? |
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Select the right answer! (See explanation below)
Opinion and Perspectives
ELDER CARE
The Aging Population’s Missing Voice in Healthcare AI
Photo by Alvaro Reyes on Unsplash
AI is changing healthcare, improving how we diagnose and manage conditions like Alzheimer’s and Parkinson’s. Yet older adults are often excluded during training of AI models. This oversight limits the potential of these tools to serve the people who need them most.
The data challenge: AI models rely on diverse and accurate datasets, but older adults are frequently left out. Many datasets focus on younger, healthier individuals. This creates gaps in areas like sleep disorders, where AI struggles to detect issues in older patients. Cataracts, common in aging populations, also make it harder to capture clear retinal images for training AI systems.
Building trust: Understanding how older adults view medical AI is critical. Surveys often miss less-connected communities, leaving a skewed picture of acceptance. Clinicians, particularly general practitioners, also play a key role in whether these tools are adopted. Without confidence in AI’s reliability, many hesitate to use it in practice.
A better way: Including older adults in AI design improves accuracy for everyone. We’re all aging, and having better data now ensures these tools will work when we need them later. It’s a simple way to build trust and make AI more useful for all of us.
For more details: Full Article
Top Funded Startups
Product Pipeline
LUNG CANCER
First Patient Dosed in AI-Backed Trial for Never-Smoker Lung Cancer
Lantern Pharma has dosed its first patient in Taiwan as part of its Phase 2 HARMONIC™ trial, focused on treating never-smoker lung cancer patients whose disease has returned after targeted therapy.
Never-smokers are those who have smoked fewer than 100 cigarettes in their lifetime, but often have lung cancer driven by genetic mutations, requiring specialized treatments.
What sets Lantern apart is its use of AI. The company’s RADR® platform analyzes vast amounts of cancer data to identify and develop targeted therapies like LP-300.
This move into Taiwan is important because more than half of lung cancer cases there are in never-smokers. Early trial results are promising, with 86% of patients showing a clinical benefit.
Lantern’s AI-driven approach could be life-changing for never-smokers with lung cancer, offering new hope to a group that often faces limited treatment options.
For more details: Full Article
Policy and Ethics
TRUMP ADMINISTRATION
Billionaire Venture Capitalist to Shape AI Policy
David Sacks, a tech entrepreneur and Trump’s pick for “AI czar,” is stepping into a powerful but controversial role. His job will be to guide the U.S. on AI and cryptocurrency, but his business ties, especially to Elon Musk, have some experts worried about conflicts of interest.
Unlike other government officials, Sacks won’t face Senate confirmation or the same scrutiny, which could mean less public oversight of policies shaping technologies that impact all our lives.
On the positive side, a respected science advisory panel (PCAST) will stay active, ensuring researchers still have a voice.
For everyday people, this means the future of AI policy could lean heavily toward industry interests, so staying informed is key.
For more details: Full Article
Byte-Sized Break
📢 Three Things AI Did This Week
OpenAI launched Sora, its AI video generator for premium ChatGPT users, limiting human depictions and pausing new accounts due to high demand while addressing misuse concerns like deepfakes and inappropriate content. [Link]
Apple is collaborating with Broadcom to develop "Baltra," its first AI server chip, expected to enter mass production by 2026, leveraging advanced TSMC technology to compete with Nvidia and expand its in-house chip strategy. [Link]
A lawsuit against Character.AI alleges the platform encouraged an autistic teen to consider killing his parents and exposed another minor to hypersexualized content, demanding the app be shut down as a "clear and present danger" to youth. [Link]
Have a Great Weekend!
❤️ Help us create something you'll love—tell us what matters! 💬 We read all of your replies, comments, and questions. 👉 See you all next week! - Bauris |
Trivia Answer: C) Analyzing pictures of skin to assess potential frostbite severity.
AI is learning to spot frostbite by analyzing pictures of your skin. So, if you’ve ever wondered, “Are my fingers frozen solid or just dramatic?” AI might soon have the answer. Just don’t send it selfies with Rudolph’s nose, it might get confused!
How did we do this week? |
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