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- 👁️Eye on Health: AI Predicts Stroke Risk with Retinal Scans : Issue # 32
👁️Eye on Health: AI Predicts Stroke Risk with Retinal Scans : Issue # 32
Plus: 🏥NVIDIA Clara: The AI Healthcare Game Changer
AIHealthTech Insider: Issue # 32
In this issue we explore groundbreaking AI advancements in healthcare , from Columbia's gene activity prediction model to stroke risk analysis via retinal imaging, alongside NVIDIA's Clara platform innovations and CES 2025's home health tech.
Columbia University researchers, as reported by Neuroscience News and published in Nature, have developed GET, a groundbreaking AI model that predicts gene activity in any human cell. This innovation provides unprecedented insights into cellular functions and disease mechanisms.

Source: Ideogram
Key highlights:
Predicting Gene Expression: GET analyzes genomic data to predict gene activity in unseen cell types with experimental-level accuracy.
Pediatric Cancer Discovery: AI identified how mutations disrupt transcription factors in inherited leukemia, confirmed through lab experiments.
Genome “Dark Matter”: GET illuminates non-coding genome regions, revealing the role of unexplored mutations in cancer and other diseases.
This innovation signals a new era of predictive biology, paving the way for advancements in disease research and targeted treatments.
👉 Read the full story on Neuroscience News.
AI Identifies Stroke Risk Through Retinal ‘Vascular Fingerprints’
Researchers from the University of Melbourne, as reported by Cardiovascular Business and published in Heart, have unveiled an AI model capable of predicting stroke risk using retinal “vascular fingerprints.” The study analyzed retinal images from over 45,000 participants, revealing 29 key vascular parameters linked to stroke risk.
Key Highlights:
Predictive Accuracy: The model, trained on data from the UK Biobank, identified retinal features that increased stroke risk by up to 19%.
Non-Invasive Screening: Combining retinal analysis with age and sex provided predictive power comparable to traditional risk factors (AUC 0.752 vs. 0.739).
Accessibility in Care: This approach simplifies stroke screening, making it ideal for primary care and low-resource settings.
This breakthrough offers a practical, non-invasive method to identify high-risk individuals early, transforming stroke prevention strategies.
👉 Read the full study in Heart.
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NVIDIA Clara: Discover How AI is Transforming Healthcare
NVIDIA Clara is revolutionizing healthcare with AI-powered solutions across biopharma, digital health, medical devices, imaging, and genomics. From accelerating drug discovery to enhancing personalized care, Clara is setting new standards in healthtech innovation.
Key Highlights:
Biopharma: Breakthrough tools for faster, smarter drug discovery.
Digital Health: AI-driven workflows for personalized and efficient patient care.
Medical Imaging: Advanced 3D mapping for precise diagnoses.
💡 Curious to learn more? Read the full blog to explore how NVIDIA Clara is reshaping the future of healthcare!
Penn State's GPS Model: Predicting Autoimmune Disease Progression
Researchers at Penn State have developed a groundbreaking Genetic Progression Score (GPS) model, combining AI, genetic data, and electronic health records to predict autoimmune disease progression. Published in Nature Communications this innovation marks a major step forward in personalized medicine.
Key Highlights
Advanced Prediction: GPS improves accuracy by 25%-1,000% over existing models, identifying at-risk individuals earlier.
Personalized Insights: Integrates biobank and genetic studies for tailored risk scores and proactive interventions.
Broader Potential: The framework can be adapted to study other underrepresented diseases, advancing health equity.
This technology enables early intervention, targeted monitoring, and personalized treatment plans, significantly improving patient outcomes.
👉 Learn more from Nature Communications
CES 2025: Transforming Home Healthcare with AI
CES 2025 showcased groundbreaking AI technologies, redefining home healthcare with accessible and advanced solutions.
Innovations at Home: AI-powered systems now offer emergency response, personalized sleep optimization, and nutrition management.
Key Highlights: Smart mirrors monitor heart health, non-invasive glucose monitoring devices ensure convenience, and AI-enhanced endoscopy improves diagnostics from the comfort of home.
These advancements are making medical-grade care more accessible and empowering individuals to take control of their health.
👉To know more, read here.
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Source: Grok
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