Alzheimer's disease
PulseAugur coverage of Alzheimer's disease — every cluster mentioning Alzheimer's disease across labs, papers, and developer communities, ranked by signal.
- used by Alzheimer's Disease Neuroimaging Initiative 90%
- instance of Tau PET Imaging in the NACC Study Cohort 90%
- instance of dementia 90%
- instance of Alzheimer's Disease Neuroimaging Initiative 70%
- developed by magnetic resonance imaging 70%
- used by magnetic resonance imaging 70%
- used by Oasis 3 70%
- used by Tau PET Imaging in the NACC Study Cohort 70%
- instance of Beta amyloid 70%
- used by tadpole 70%
- instance of Parkinson's 70%
- used by mini–mental state examination 70%
- 2026-08-03 research_milestone Clinical trials for a surgical procedure to treat Alzheimer's disease are underway in Hong Kong, showing early promise. source
17 day(s) with sentiment data
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Tech Giants Face Lawsuits Over Social Media Addiction; GLP-1 Drugs Show Brain Health Promise
A recent court ruling allows thousands of lawsuits alleging social media addiction to proceed against tech giants like Meta. Separately, researchers are exploring the potential of GLP-1 drugs, such as Ozempic, to treat …
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New framework enhances Alzheimer's diagnosis using longitudinal MRI scans
Researchers have developed Parcel2Progression (P2P), a novel longitudinal framework designed to improve Alzheimer's disease diagnosis using structural MRI scans. P2P addresses computational limitations by employing an A…
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DisMorph framework disentangles MRI distortions from biological brain changes
Researchers have developed DisMorph, a novel framework for analyzing longitudinal MRI scans. This method disentangles technical distortions, such as those from gradient non-linearity, from true biological changes in the…
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LLM-based speech analysis framework for early Alzheimer's detection unveiled
Researchers have developed LSEAD, a new framework that uses large language models (LLMs) to analyze speech for early detection of Alzheimer's disease. This privacy-preserving system processes speech transcripts locally,…
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AI model for brain atrophy detection shows cross-population transferability
Researchers have investigated the transferability of a Stochastic Cortical Self-Reconstruction (SCSR) model, originally trained on UK Biobank data, to an independent Chinese population dataset. The study evaluated SCSR'…
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Taxi drivers' spatial reasoning may protect against Alzheimer's; Zoox preps launch
A recent study suggests that taxi drivers may have a lower incidence of Alzheimer's disease due to the complex mental maps and spatial reasoning skills they develop. Separately, Zoox is gearing up for its launch, while …
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Ultrasound tech opens blood-brain barrier for CNS drug delivery
Openwater, a company focused on ultrasound technology, is advancing its use in drug delivery for neurological conditions like Alzheimer's and Parkinson's. Their method utilizes low-intensity focused ultrasound with micr…
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New framework audits and repairs fairness gaps in Alzheimer's prediction models
Researchers have developed a new framework to audit and fix fairness issues in Alzheimer's disease prediction models. Standard conformal prediction methods, while guaranteeing overall coverage, can mask significant unde…
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Books acquired to train AI chatbots, Dutch market faces impact
A growing trend involves the acquisition of books to train artificial intelligence models, particularly chatbots. This practice, which has already impacted markets elsewhere, is now raising questions about its potential…
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New GoT-CD method improves causal discovery but highlights fairness audit fragility
Researchers have developed GoT-CD, a new causal discovery method that utilizes a Graph of Thoughts reasoning approach. This method generates multiple candidate graphs in parallel and merges them under a union constraint…
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AI model intervention reveals Alzheimer's-related language phenotypes
Researchers have developed a novel framework to experimentally investigate the link between language and cognitive dysfunction in Alzheimer's disease (AD) using the Qwen3_8B large language model. This method identifies …
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Journalist launches digital hub to bridge Alzheimer's research and patient care
Deborah Kane, founder of Being Patient, established the digital hub in 2017 to bridge the gap between Alzheimer's patients, caregivers, and scientific research. She was motivated by her mother's diagnosis and the lack o…
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New AI pipeline automates Alzheimer's diagnosis from speech patterns
Researchers have developed an automated pipeline to identify Alzheimer's disease markers from audio recordings of verbal fluency tests. This system uses foundation models to extract clinical variables and construct a Ba…
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AI and ML advance cognitive impairment detection in older adults
A new arXiv paper reviews technological advancements in detecting and managing cognitive impairment in older adults, focusing on AI and machine learning applications. The paper synthesizes findings from neurophysiologic…
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New MPP-GNN model advances Alzheimer's classification using fMRI data
Researchers have developed a new graph neural network model called MPP-GNN for analyzing functional magnetic resonance imaging (fMRI) data to classify Alzheimer's disease. This model addresses limitations in existing me…
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Surgery for Alzheimer's shows promise in Hong Kong trials
A surgical procedure aimed at treating Alzheimer's disease, which involves draining an abnormal build-up of proteins in the brain, is being tested in clinical trials in Hong Kong. This operation was previously pioneered…
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Attention-based deep learning framework achieves 88.95% accuracy in Alzheimer's detection
Researchers have developed a novel attention-based deep learning framework designed to classify Alzheimer's disease (AD) using resting-state functional magnetic resonance imaging (rs-fMRI). This approach treats brain re…
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South Korean scientists identify brain waste-clearance pathway
Scientists in South Korea have identified a previously unknown pathway for waste removal from the human brain. This discovery, published in the journal Cell, explains how cerebrospinal fluid drains from the brain into v…
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Dementia classification from speech using machine learning
Researchers have developed a new method for classifying dementia using spontaneous speech, analyzing acoustic features from entire recordings rather than just speech-active segments. This approach, utilizing the openSMI…
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AI models for Alzheimer's detection show demographic bias in speech analysis
Researchers have developed AI models to detect Alzheimer's Disease (AD) using acoustic biomarkers, but found significant differences in how these models interpret speech compared to human listeners, particularly across …