The Deep View:

AI connects the dots for earlier Alzheimer’s detection
In medicine, diagnosing Alzheimer’s has always been a race against time. Catching it early at the Mild Cognitive Impairment stage can delay dementia by years, but early signs are subtle and standard models often get fooled by noise in the data.
Researchers have introduced a model called ADPC that applies causal reasoning to sort through neuroimaging, clinical summaries and confounding variables like age, gender and scan artifacts. Instead of correlating inputs with outcomes, it actively intervenes to identify true causes.
The key innovation combines MRI and fMRI scans with large language model-generated summaries of patient data, then filters both through a system that blocks false signals. In testing, even with smaller datasets, ADPC significantly outperformed traditional deep learning models.
The breakthrough draws on economics and epidemiology, where structural causal models have long aided researchers in navigating incomplete data. Now, the same logic is being applied to the brain.
What sets this model apart:
Uses LLMs to generate structured clinical summaries. Applies causal intervention to filter out noise from imaging and text. Employs visual-text fusion to find the strongest mediating signals. Outperforms all other models on two major Alzheimer’s datasets: NACC and ADNIOffers stronger explainability for medical professionals
Why it matters: False positives lead to stress. Missed diagnoses delay care. This model demonstrates how combining causal inference with multimodal learning can help physicians detect Alzheimer’s disease earlier and with greater confidence. As healthcare embraces AI, this reasoning-first approach may become the standard for diagnostic tools.

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About michelleclarke2015

Life event that changes all: Horse riding accident in Zimbabwe in 1993, a fractured skull et al including bipolar anxiety, chronic fatigue …. co-morbidities (Nietzche 'He who has the reason why can deal with any how' details my health history from 1993 to date). 17th 2017 August operation for breast cancer (no indications just an appointment came from BreastCheck through the Post). Trinity College Dublin Business Economics and Social Studies (but no degree) 1997-2003; UCD 1997/1998 night classes) essays, projects, writings. Trinity Horizon Programme 1997/98 (Centre for Women Studies Trinity College Dublin/St. Patrick's Foundation (Professor McKeon) EU Horizon funded: research study of 15 women (I was one of this group and it became the cornerstone of my journey to now 2017) over 9 mth period diagnosed with depression and their reintegration into society, with special emphasis on work, arts, further education; Notes from time at Trinity Horizon Project 1997/98; Articles written for Irishhealth.com 2003/2004; St Patricks Foundation monthly lecture notes for a specific period in time; Selection of Poetry including poems written by people I know; Quotations 1998-2017; other writings mainly with theme of social justice under the heading Citizen Journalism Ireland. Letters written to friends about life in Zimbabwe; Family history including Michael Comyn KC, my grandfather, my grandmother's family, the O'Donnellan ffrench Blake-Forsters; Moral wrong: An acrimonious divorce but the real injustice was the Catholic Church granting an annulment – you can read it and make your own judgment, I have mine. Topics I have written about include annual Brain Awareness week, Mashonaland Irish Associataion in Zimbabwe, Suicide (a life sentence to those left behind); Nostalgia: Tara Hill, Co. Meath.
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