Development of Prediction Model for Brain Amyloid-Beta Accumulation Using Wristband Sensor
Retrieved on:
Friday, December 29, 2023
CSF, Alzheimer's Research & Therapy, Alzheimer's disease, Dementia, Learning, Cerebrospinal fluid, Woman, Elastic net regularization, Heart rate, Sleep, Support vector machine, Hypertension, PET, Disease, Diabetes, Thyroid disease, Brain, Ageing, Risk, Stroke, Oita University, Faculty, Speech, Associate professor, Amyloid beta, Biomarker, Machine learning, Future Development, Manuscript, Transport, Patient, Medical school, Cardiovascular disease, MCI, AUC, Social isolation, Eisai, Area, Exercise, Medical imaging
TOKYO, Dec 29, 2023 - (JCN Newswire) - Oita University and Eisai Co., Ltd. (Eisai) hereby announce the development of the world's first machine learning model to predict amyloid beta*1 (Aβ) accumulation in the brain using a wristband sensor.
Key Points:
- TOKYO, Dec 29, 2023 - (JCN Newswire) - Oita University and Eisai Co., Ltd. (Eisai) hereby announce the development of the world's first machine learning model to predict amyloid beta*1 (Aβ) accumulation in the brain using a wristband sensor.
- This model is expected to enable screening for brain Aβ accumulation, which is an important pathological factor of Alzheimer's disease*2 (AD), simply by collecting biological and lifestyle data from daily life.
- The key to maximizing treatment effects of the medicine is detecting Abeta accumulation in the brain of patients with mild cognitive impairment before the onset of symptoms.
- This machine learning model is able to predict brain Aβ accumulation using readily available non-invasive variables.