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AI-driven innovations in Alzheimer's disease: Integrating early diagnosis, personalized treatment, and prognostic modelling
MB Kale, NL Wankhede, RS Pawar, S Ballal… - Ageing Research …, 2024 - Elsevier
Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research
and clinical practice due to its complex etiology and progressive nature. The integration of …
and clinical practice due to its complex etiology and progressive nature. The integration of …
Understanding machine learning applications in dementia research and clinical practice: a review for biomedical scientists and clinicians
Several (inter) national longitudinal dementia observational datasets encompassing
demographic information, neuroimaging, biomarkers, neuropsychological evaluations, and …
demographic information, neuroimaging, biomarkers, neuropsychological evaluations, and …
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling
Deep learning has enabled breakthroughs in automated diagnosis from medical imaging,
with many successful applications in ophthalmology. However, standard medical image …
with many successful applications in ophthalmology. However, standard medical image …
Integrating machine learning in metabolomics: A path to enhanced diagnostics and data interpretation
Y Xu, L Cao, Y Chen, Z Zhang, Q Zhuang, AY Zhang, RSTY Cong, GM Yang… - BMC Palliative Care, 2024 - Springer
Background Ex-ante identification of the last year in life facilitates a proactive palliative
approach. Machine learning models trained on electronic health records (EHR) demonstrate …
approach. Machine learning models trained on electronic health records (EHR) demonstrate …
Machine learning to allocate palliative care consultations during cancer treatment
JC He, GT Moffat, S Podolsky, F Khan, N Liu… - Journal of Clinical …, 2024 - ascopubs.org
PURPOSE For patients with advanced cancer, early consultations with palliative care (PC)
specialists reduce costs, improve quality of life, and prolong survival. However, capacity …
specialists reduce costs, improve quality of life, and prolong survival. However, capacity …
Prediction and clustering of Alzheimer's disease by race and sex: A multi-head deep-learning approach to analyze irregular and heterogeneous data
CY Chang, D Slowiejko, N Win - Scientific Reports, 2024 - nature.com
Early detection of Alzheimer's disease (AD) is crucial to maximize clinical outcomes. Most
disease progression analyses include people with diagnoses of cognitive impairment …
disease progression analyses include people with diagnoses of cognitive impairment …
Bayesian and deep‐learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers
Background Ovarian cancer is the most lethal of all gynecological cancers. Cancer Antigen
125 (CA125) is the best‐performing ovarian cancer biomarker which however is still not …
125 (CA125) is the best‐performing ovarian cancer biomarker which however is still not …