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Alzheimer’s: AI & Blood Tests Enable Earlier Detection & Prediction

by Dr. Michael Lee – Health Editor March 4, 2026
written by Dr. Michael Lee – Health Editor

The U.S. Food and Drug Administration approved the Lumipulse® blood test in May 2025, marking the first time a blood biomarker test can be used to aid in the diagnosis of Alzheimer’s disease. The test measures levels of the protein pTau217 and the ratio of ß-Amyloid 1-42 in a blood sample to detect the presence of amyloid plaques and tau tangles, key indicators of the disease.

Previously, confirming an Alzheimer’s diagnosis required costly and often invasive procedures like PET scans or lumbar punctures, which analyze brain imaging or cerebrospinal fluid, respectively. The Lumipulse test offers a simpler, less invasive, and more accessible alternative, according to Dr. Michal Schnaider Beeri, Director of the Herbert and Jacqueline Krieger Klein Alzheimer’s Research Center at Rutgers University’s Brain Health Institute. “This blood test offers a simpler, less invasive, and more widely accessible way to support early and accurate detection of amyloid plaques and tau tangles,” she stated.

Clinical studies demonstrated the test’s accuracy, with 91.7% of individuals who tested positive for Alzheimer’s biomarkers via the Lumipulse test subsequently confirmed to have amyloid plaques through PET scans or cerebrospinal fluid analysis. The FDA approval is intended for leverage in individuals aged 55 or older who are experiencing cognitive symptoms. The test is not intended as a standalone diagnostic tool, but rather as part of a comprehensive evaluation that includes medical history, physical examination, and potentially brain imaging.

Alongside the Lumipulse test, research is progressing on utilizing artificial intelligence (AI) to predict the progression of dementia. A new AI model can now forecast the course of dementia using routine data gathered from primary care physicians, analyzing demographic information and simple memory test results. This development, alongside the blood test measuring p-tau217, represents a significant step towards earlier and more accessible diagnosis.

The p-tau217 protein measured by the blood test is also being studied for its potential to estimate the timeframe for the onset of clinical symptoms. Whereas not yet a precise predictor for individual patients, this capability holds promise for research and the planning of clinical trials. The Mayo Clinic notes that results from the Lumipulse test are typically available within two to five days.

The European Research Academy on Alzheimer’s Disease (ERA-AD) recently held an expert workshop to discuss these latest findings and their implications for the future of Alzheimer’s diagnosis and treatment. The combination of AI-driven prediction and blood-based biomarker detection is expected to significantly accelerate research efforts and improve patient care.

March 4, 2026 0 comments
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Health

Techfins vs Fintechs: How Banks Can Win with AI & Data | [Year]

by Dr. Michael Lee – Health Editor March 1, 2026
written by Dr. Michael Lee – Health Editor

Apple is deepening its artificial intelligence strategy in China through a confirmed partnership with Alibaba Group, a move that could reshape the competitive landscape for both tech giants and the broader financial technology sector. The collaboration, first hinted at in February 2025, will see Alibaba’s AI technologies integrated into iPhones sold within China, according to Alibaba Chairman Joe Tsai.

The partnership addresses a critical need for Apple to offer localized AI features in the world’s largest smartphone market, while simultaneously navigating China’s stringent data sovereignty laws. Apple’s approach, described as a “multi-vendor” intelligence model, relies on integrating AI capabilities from multiple partners rather than developing a monolithic, in-house solution. This strategy extends beyond Alibaba, with Google also playing a key role in powering Apple Intelligence globally.

Specifically, the integration centers around Alibaba’s Tongyi Qianwen (Qwen) series, with the latest Qwen3 model optimized to run on Apple’s MLX architecture. This allows for on-device processing of tasks like text summarization and translation, enhancing privacy and speed. More complex AI tasks will leverage a “Private Cloud Compute” (PCC) infrastructure hosted on Alibaba Cloud, ensuring compliance with Chinese data regulations.

The move comes as technology companies increasingly compete with traditional financial institutions, a trend highlighted by industry analysts. These “Techfins” – like Apple, Google, and Alibaba – are poised to challenge established players in the most profitable segments of banking, according to recent analysis. However, banks possess a unique advantage in the age of AI: proprietary data. While generative AI models have largely consumed publicly available data, banks hold vast, untapped datasets related to customer transactions.

Experts estimate that upwards of 95% of data within financial institutions relevant to generative AI remains unexplored. This represents a significant opportunity for banks to leverage their existing assets and maintain a competitive edge. The timing is crucial, with a window of opportunity now open for financial institutions to capitalize on this potential.

Alibaba’s stock experienced a surge following the confirmation of the Apple partnership, reaching a three-year high. The deal underscores the growing importance of AI collaboration in the technology sector and the strategic value of accessing key markets like China. Apple has not commented on the financial terms of the agreement or the specific features that will be enabled through the Alibaba integration.

March 1, 2026 0 comments
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