Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials
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The rapid growth of mobile phones, automated speech recognizing personal assistants, and internet access among the elderly provides new opportunities for incorporating such technologies into clinical research and personalized medical care. Alzheimer’s disease is a good test case given the need for early detection, the high rate of clinical trial failures, the need to more efficiently recruit patients for trials, and the need for sensitive and ecologically valid trial outcomes.
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Other multimodal AI/ML strategies that attempt to directly fuse heterogeneous input data are less modular and usually incompatible with the use of high-performing open-source single-data-type models produced by other organizations and researchers.
“This departs from other multimodal AI/ML strategies that attempt to directly fuse heterogeneous input data, which makes these systems less modular and usually incompatible with the use of high-performing open-source single-data-type models produced by other organizations and researchers10,29.”
From Integrated multimodal artificial intelligence framework for healthcare applications (2022) · cites this paper as [29]
The sections on cloud-based analytic platforms and evidence gaps discuss siloed trial databases and limited interoperability of devices and platforms. They do not address whether directly fusing heterogeneous data makes multimodal AI/ML systems less modular or incompatible with open-source single-data-type models (searched for those terms and their paraphrases). (LLM, conf=0.75)
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- Authors
- Doraiswamy, P. M., Narayan, V. A., & Manji, H. K.
- Affiliations
- Duke University (US)
- Janssen Research & Development (United States) (US)
- Corresponding author
- Doraiswamy, P. Murali
- Venue
- npj Digital Medicine
- Published
- 2018-01-25
- Volume
- 1
- Issue
- 1
- Pages
- 1-1
- ISSN
- 2398-6352 (ISSN-L)
- PMC
- PMC6550135
- OpenAlex
- W2807451695
- Cited by
- 97
- References
- 31
- Citations by year
- 2026: 2 · 2025: 15 · 2024: 8 · 2023: 13 · 2022: 16 · 2021: 23 · 2020: 16 · 2019: 3 · 2018: 1
- FWCI
- 16.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Digital Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- Alzheimer's disease, mobile health, ubiquitous computing, clinical trials, clinical trial recruitment, early detection, personalized medicine
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