The DOI matches its Crossref record.
Novartis signs up for Google smart lens
Overview
Integrity signals
Registry
Cites
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Wearable tear biosensors have been used for continuous glucose monitoring since 2007 [147,148,149], and later for lactate sensing since 2012 [150].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [148]
In the citing paper
“However, there have been delays to the clinical trials and subsequent commercial release of this product, indicative of the technological challenges of successfully achieving a high-performing contact-lens-based sensing platform.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [33]
In the citing paper
“As a result of these consistent endeavors, Google, in partnership with Novartis, made the most noticeable progress by applying their expertise in electronics miniaturization and applied medical technologies, respectively, toward development of a contact lens sensing platform for tears glucose monitoring33.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [33]
In the citing paper
“The developed prototype lens consisted of a wireless control chip, miniature electrochemical transducer, and antenna on a soft contact lens platform with the glucose sensor embedded within a hydrogel matrix to non-invasively measure glucose concentrations in the surrounding tears (Fig. 5a).”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [33]
Citations
Cited by
Sorted by citations
Wearable biosensors for healthcare monitoring
Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373
Flexible Sensing Electronics for Wearable/Attachable Health Monitoring
Wang, X., Liu, Z., & Zhang, T. (2017) · Small · doi:10.1002/smll.201602790 · Cited by 1,096
Medical Internet of Things and Big Data in Healthcare
Dimitrov, D. V. (2016) · Healthcare Informatics Research · doi:10.4258/hir.2016.22.3.156 · Cited by 975
“• Novartis is working with Google (again) on sensor tech - nologies, such as the smart lens, and a wearable device to measure blood glucose levels [15].”
BackgroundFlexible Electronics: Stretchable Electrodes and Their Future
Huang, S., Liu, Y., Zhao, Y., Ren, Z., & Guo, C. F. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201805924 · Cited by 855
Glucose Sensing for Diabetes Monitoring: Recent Developments
Bruen, D., Delaney, C., Florea, L., & Diamond, D. (2017) · Sensors · doi:10.3390/s17081866 · Cited by 796
“This novel technology incorporates an electrochemical battery-operated enzymatic glucose sensor, utilising the enzyme glucose oxidase (GOx), in a microchip sandwiched between two layers of a soft contact lens, as represented in Figure 8 [106,107].”
Method
Metadata
- Authors
- Senior, M.
- Corresponding author
- Senior, Melanie
- Venue
- Nature Biotechnology
- Published
- 2014-09
- Volume
- 32
- Issue
- 9
- Pages
- 856-856
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2082814900
- Cited by
- 152
- References
- 0
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 12 · 2023: 15 · 2022: 25 · 2021: 19 · 2020: 25 · 2019: 11 · 2018: 6 · 2017: 13 · 2016: 9 · 2015: 2 · 2014: 2
- Type
- other
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Advanced Drug Delivery Systems
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Keywords
- Novartis, Google, augmented reality, drug discovery, pharmaceutical industry, artificial intelligence
- MeSH terms
- Blood Glucose, Contact Lenses, Drug Industry, Humans, Miniaturization, Biosensing Techniques, Internet
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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