2025
|
Le, Truong-Son Dinh; Tran, Y-Van; Gao, Yuji; Valerio, Von Luigi; Ge, Zhixing; Lim, Chwee Teck Laser-induced graphene for biomedical applications: innovations in
health monitoring and diagnostics NANOSCALE HORIZONS, 10 (11), pp. 2688-2721, 2025, DOI: 10.1039/d5nh00377f. Abstract | BibTeX | Endnote @article{WOS:001557002400001,
title = {Laser-induced graphene for biomedical applications: innovations in
health monitoring and diagnostics},
author = {Truong-Son Dinh Le and Y-Van Tran and Yuji Gao and Von Luigi Valerio and Zhixing Ge and Chwee Teck Lim},
doi = {10.1039/d5nh00377f},
times_cited = {0},
issn = {2055-6756},
year = {2025},
date = {2025-10-01},
journal = {NANOSCALE HORIZONS},
volume = {10},
number = {11},
pages = {2688-2721},
publisher = {ROYAL SOC CHEMISTRY},
address = {THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS,
ENGLAND},
abstract = {Laser-induced graphene (LIG) has emerged as a versatile and sustainable
nanomaterial for biomedical applications, offering a unique combination
of tunable surface chemistry, high electrical conductivity, mechanical
flexibility, and biocompatibility. These superior properties, coupled
with its facile and mask-free fabrication process, have positioned LIG
as a promising platform for next-generation wearable and point-of-care
sensors. This review presents a comprehensive overview of LIG synthesis,
microstructures, properties, and functionalization strategies, with a
particular focus on its applications in health monitoring and
diagnostics. We highlight recent advances in LIG-based sensors for
detecting physical, electrophysiological, chemical, and biochemical
signals. Key challenges including material variability, miniaturization,
scalability, stability, and biocompatibility are critically discussed.
Finally, we explore future directions for integrating LIG biomedical
sensors with emerging technologies such as artificial intelligence, big
data, and eco-friendly materials to enable intelligent, personalized,
and sustainable healthcare solutions.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Laser-induced graphene (LIG) has emerged as a versatile and sustainable
nanomaterial for biomedical applications, offering a unique combination
of tunable surface chemistry, high electrical conductivity, mechanical
flexibility, and biocompatibility. These superior properties, coupled
with its facile and mask-free fabrication process, have positioned LIG
as a promising platform for next-generation wearable and point-of-care
sensors. This review presents a comprehensive overview of LIG synthesis,
microstructures, properties, and functionalization strategies, with a
particular focus on its applications in health monitoring and
diagnostics. We highlight recent advances in LIG-based sensors for
detecting physical, electrophysiological, chemical, and biochemical
signals. Key challenges including material variability, miniaturization,
scalability, stability, and biocompatibility are critically discussed.
Finally, we explore future directions for integrating LIG biomedical
sensors with emerging technologies such as artificial intelligence, big
data, and eco-friendly materials to enable intelligent, personalized,
and sustainable healthcare solutions. - FNClarivate Analytics Web of Science
- VR1.0
- PTJ
- AFTruong-Son Dinh Le
Y-Van Tran
Yuji Gao
Von Luigi Valerio
Zhixing Ge
Chwee Teck Lim
- TILaser-induced graphene for biomedical applications: innovations in
health monitoring and diagnostics - SONANOSCALE HORIZONS
- DTArticle
- ABLaser-induced graphene (LIG) has emerged as a versatile and sustainable
nanomaterial for biomedical applications, offering a unique combination
of tunable surface chemistry, high electrical conductivity, mechanical
flexibility, and biocompatibility. These superior properties, coupled
with its facile and mask-free fabrication process, have positioned LIG
as a promising platform for next-generation wearable and point-of-care
sensors. This review presents a comprehensive overview of LIG synthesis,
microstructures, properties, and functionalization strategies, with a
particular focus on its applications in health monitoring and
diagnostics. We highlight recent advances in LIG-based sensors for
detecting physical, electrophysiological, chemical, and biochemical
signals. Key challenges including material variability, miniaturization,
scalability, stability, and biocompatibility are critically discussed.
Finally, we explore future directions for integrating LIG biomedical
sensors with emerging technologies such as artificial intelligence, big
data, and eco-friendly materials to enable intelligent, personalized,
and sustainable healthcare solutions. - Z90
- PUROYAL SOC CHEMISTRY
- PATHOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS,
ENGLAND - SN2055-6756
- VL10
- BP2688
- EP2721
- DI10.1039/d5nh00377f
- UTWOS:001557002400001
- ER
- EF
|
Chen, Shuwen; Fan, Shicheng; Qiao, Zheng; Wu, Zixiong; Lin, Baobao; Li, Zhijie; Riegler, Michael A; Wong, Matthew Yu Heng; Opheim, Arve; Korostynska, Olga; Nielsen, Kaare Magne; Glott, Thomas; Martinsen, Anne Catrine T; Telle-Hansen, Vibeke H; Lim, Chwee Teck Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart
Materials and Artificial Intelligence 27 ADVANCED MATERIALS, 37 (21), 2025, DOI: 10.1002/adma.202500412. Abstract | BibTeX | Endnote @article{WOS:001457625300001,
title = {Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart
Materials and Artificial Intelligence},
author = {Shuwen Chen and Shicheng Fan and Zheng Qiao and Zixiong Wu and Baobao Lin and Zhijie Li and Michael A Riegler and Matthew Yu Heng Wong and Arve Opheim and Olga Korostynska and Kaare Magne Nielsen and Thomas Glott and Anne Catrine T Martinsen and Vibeke H Telle-Hansen and Chwee Teck Lim},
doi = {10.1002/adma.202500412},
times_cited = {27},
issn = {0935-9648},
year = {2025},
date = {2025-05-01},
journal = {ADVANCED MATERIALS},
volume = {37},
number = {21},
publisher = {WILEY-V C H VERLAG GMBH},
address = {POSTFACH 101161, 69451 WEINHEIM, GERMANY},
abstract = {Intelligent wearable sensors, empowered by machine learning and
innovative smart materials, enable rapid, accurate disease diagnosis,
personalized therapy, and continuous health monitoring without
disrupting daily life. This integration facilitates a shift from
traditional, hospital-centered healthcare to a more decentralized,
patient-centric model, where wearable sensors can collect real-time
physiological data, provide deep analysis of these data streams, and
generate actionable insights for point-of-care precise diagnostics and
personalized therapy. Despite rapid advancements in smart materials,
machine learning, and wearable sensing technologies, there is a lack of
comprehensive reviews that systematically examine the intersection of
these fields. This review addresses this gap, providing a critical
analysis of wearable sensing technologies empowered by smart advanced
materials and artificial Intelligence. The state-of-the-art smart
materials-including self-healing, metamaterials, and responsive
materials-that enhance sensor functionality are first examined. Advanced
machine learning methodologies integrated into wearable devices are
discussed, and their role in biomedical applications is highlighted. The
combined impact of wearable sensors, empowered by smart materials and
machine learning, and their applications in intelligent diagnostics and
therapeutics are also examined. Finally, existing challenges, including
technical and compliance issues, information security concerns, and
regulatory considerations are addressed, and future directions for
advancing intelligent healthcare are proposed.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Intelligent wearable sensors, empowered by machine learning and
innovative smart materials, enable rapid, accurate disease diagnosis,
personalized therapy, and continuous health monitoring without
disrupting daily life. This integration facilitates a shift from
traditional, hospital-centered healthcare to a more decentralized,
patient-centric model, where wearable sensors can collect real-time
physiological data, provide deep analysis of these data streams, and
generate actionable insights for point-of-care precise diagnostics and
personalized therapy. Despite rapid advancements in smart materials,
machine learning, and wearable sensing technologies, there is a lack of
comprehensive reviews that systematically examine the intersection of
these fields. This review addresses this gap, providing a critical
analysis of wearable sensing technologies empowered by smart advanced
materials and artificial Intelligence. The state-of-the-art smart
materials-including self-healing, metamaterials, and responsive
materials-that enhance sensor functionality are first examined. Advanced
machine learning methodologies integrated into wearable devices are
discussed, and their role in biomedical applications is highlighted. The
combined impact of wearable sensors, empowered by smart materials and
machine learning, and their applications in intelligent diagnostics and
therapeutics are also examined. Finally, existing challenges, including
technical and compliance issues, information security concerns, and
regulatory considerations are addressed, and future directions for
advancing intelligent healthcare are proposed. - FNClarivate Analytics Web of Science
- VR1.0
- PTJ
- AFShuwen Chen
Shicheng Fan
Zheng Qiao
Zixiong Wu
Baobao Lin
Zhijie Li
Michael A Riegler
Matthew Yu Heng Wong
Arve Opheim
Olga Korostynska
Kaare Magne Nielsen
Thomas Glott
Anne Catrine T Martinsen
Vibeke H Telle-Hansen
Chwee Teck Lim
- TITransforming Healthcare: Intelligent Wearable Sensors Empowered by Smart
Materials and Artificial Intelligence - SOADVANCED MATERIALS
- DTArticle
- ABIntelligent wearable sensors, empowered by machine learning and
innovative smart materials, enable rapid, accurate disease diagnosis,
personalized therapy, and continuous health monitoring without
disrupting daily life. This integration facilitates a shift from
traditional, hospital-centered healthcare to a more decentralized,
patient-centric model, where wearable sensors can collect real-time
physiological data, provide deep analysis of these data streams, and
generate actionable insights for point-of-care precise diagnostics and
personalized therapy. Despite rapid advancements in smart materials,
machine learning, and wearable sensing technologies, there is a lack of
comprehensive reviews that systematically examine the intersection of
these fields. This review addresses this gap, providing a critical
analysis of wearable sensing technologies empowered by smart advanced
materials and artificial Intelligence. The state-of-the-art smart
materials-including self-healing, metamaterials, and responsive
materials-that enhance sensor functionality are first examined. Advanced
machine learning methodologies integrated into wearable devices are
discussed, and their role in biomedical applications is highlighted. The
combined impact of wearable sensors, empowered by smart materials and
machine learning, and their applications in intelligent diagnostics and
therapeutics are also examined. Finally, existing challenges, including
technical and compliance issues, information security concerns, and
regulatory considerations are addressed, and future directions for
advancing intelligent healthcare are proposed. - Z927
- PUWILEY-V C H VERLAG GMBH
- PAPOSTFACH 101161, 69451 WEINHEIM, GERMANY
- SN0935-9648
- VL37
- DI10.1002/adma.202500412
- UTWOS:001457625300001
- ER
- EF
|
2024
|
Qi, Jiaming; Yu, Longteng; Khoo, Eng Tat; Ng, Kian Wei; Gao, Yujia; Kow, Alfred Wei Chieh; Yeo, Joo Chuan; Lim, Chwee Teck Bridging the digital-physical divide using haptic and wearable
technologies NATURE ELECTRONICS, 7 (12), pp. 1098-1110, 2024, DOI: 10.1038/s41928-024-01325-7. Abstract | BibTeX | Endnote @article{WOS:001381415500004,
title = {Bridging the digital-physical divide using haptic and wearable
technologies},
author = {Jiaming Qi and Longteng Yu and Eng Tat Khoo and Kian Wei Ng and Yujia Gao and Alfred Wei Chieh Kow and Joo Chuan Yeo and Chwee Teck Lim},
doi = {10.1038/s41928-024-01325-7},
times_cited = {10},
issn = {2520-1131},
year = {2024},
date = {2024-12-01},
journal = {NATURE ELECTRONICS},
volume = {7},
number = {12},
pages = {1098-1110},
publisher = {NATURE PORTFOLIO},
address = {HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY},
abstract = {The metaverse could provide an immersive environment that integrates
digital and physical realities. However, this will require appropriate
haptic feedback and wearable technologies. Here we explore the
development of haptic and wearable technologies that can be used to
bridge the digital-physical divide and build a more realistic and
immersive metaverse. We examine the mechanisms of haptic technology and
the haptic devices that can replicate the sense of touch, and examine
the development of wearable technology that can provide motion tracking
through the integration of artificial intelligence. We highlight the
potential applications of such technology in the areas of entertainment,
commerce, education, training and healthcare. Finally, we consider the
ethical and technological challenges that the field faces.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The metaverse could provide an immersive environment that integrates
digital and physical realities. However, this will require appropriate
haptic feedback and wearable technologies. Here we explore the
development of haptic and wearable technologies that can be used to
bridge the digital-physical divide and build a more realistic and
immersive metaverse. We examine the mechanisms of haptic technology and
the haptic devices that can replicate the sense of touch, and examine
the development of wearable technology that can provide motion tracking
through the integration of artificial intelligence. We highlight the
potential applications of such technology in the areas of entertainment,
commerce, education, training and healthcare. Finally, we consider the
ethical and technological challenges that the field faces. - FNClarivate Analytics Web of Science
- VR1.0
- PTJ
- AFJiaming Qi
Longteng Yu
Eng Tat Khoo
Kian Wei Ng
Yujia Gao
Alfred Wei Chieh Kow
Joo Chuan Yeo
Chwee Teck Lim
- TIBridging the digital-physical divide using haptic and wearable
technologies - SONATURE ELECTRONICS
- DTArticle
- ABThe metaverse could provide an immersive environment that integrates
digital and physical realities. However, this will require appropriate
haptic feedback and wearable technologies. Here we explore the
development of haptic and wearable technologies that can be used to
bridge the digital-physical divide and build a more realistic and
immersive metaverse. We examine the mechanisms of haptic technology and
the haptic devices that can replicate the sense of touch, and examine
the development of wearable technology that can provide motion tracking
through the integration of artificial intelligence. We highlight the
potential applications of such technology in the areas of entertainment,
commerce, education, training and healthcare. Finally, we consider the
ethical and technological challenges that the field faces. - Z910
- PUNATURE PORTFOLIO
- PAHEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
- SN2520-1131
- VL7
- BP1098
- EP1110
- DI10.1038/s41928-024-01325-7
- UTWOS:001381415500004
- ER
- EF
|
2023
|
Chen, Shuwen; Qiao, Zheng; Niu, Yan; Yeo, Joo Chuan; Liu, Yuanchao; Qi, Jiaming; Fan, Shicheng; Liu, Xiaoyan; Lee, Jee Yeon; Lim, Chwee Teck Wearable flexible microfluidic sensing technologies 79 NATURE REVIEWS BIOENGINEERING, 1 (12), pp. 950-971, 2023, DOI: 10.1038/s44222-023-00094-w. Abstract | BibTeX | Endnote @article{WOS:001390099200006,
title = {Wearable flexible microfluidic sensing technologies},
author = {Shuwen Chen and Zheng Qiao and Yan Niu and Joo Chuan Yeo and Yuanchao Liu and Jiaming Qi and Shicheng Fan and Xiaoyan Liu and Jee Yeon Lee and Chwee Teck Lim},
doi = {10.1038/s44222-023-00094-w},
times_cited = {79},
year = {2023},
date = {2023-12-01},
journal = {NATURE REVIEWS BIOENGINEERING},
volume = {1},
number = {12},
pages = {950-971},
publisher = {SPRINGERNATURE},
address = {CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND},
abstract = {Wearable biosensing technologies can provide real-time monitoring of
health and disease at the point of care. By integrating flexible
microfluidics with wearable biosensors, body fluids can be
non-invasively sampled and analysed for reliable, clinically
informative, cost-effective and continuous biomedical monitoring. In
this Review, we discuss flexible wearable microfluidic sensors for
health monitoring and disease diagnosis, highlighting materials and
engineering considerations with regard to biofluid collection, analyte
calibration, signal interferences reduction, target recognition, and
sensor reusability. We outline how such flexible microfluidic-based
biosensors can be designed for the analysis of sweat, saliva, tears,
interstitial fluid and wound exudate, and examine their applications at
the point of care. Finally, we highlight the challenges that remain to
be addressed for the clinical translation of wearable flexible
microfluidic sensors and discuss future possibilities, including the
integration of machine learning and the Internet-of-things.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Wearable biosensing technologies can provide real-time monitoring of
health and disease at the point of care. By integrating flexible
microfluidics with wearable biosensors, body fluids can be
non-invasively sampled and analysed for reliable, clinically
informative, cost-effective and continuous biomedical monitoring. In
this Review, we discuss flexible wearable microfluidic sensors for
health monitoring and disease diagnosis, highlighting materials and
engineering considerations with regard to biofluid collection, analyte
calibration, signal interferences reduction, target recognition, and
sensor reusability. We outline how such flexible microfluidic-based
biosensors can be designed for the analysis of sweat, saliva, tears,
interstitial fluid and wound exudate, and examine their applications at
the point of care. Finally, we highlight the challenges that remain to
be addressed for the clinical translation of wearable flexible
microfluidic sensors and discuss future possibilities, including the
integration of machine learning and the Internet-of-things. - FNClarivate Analytics Web of Science
- VR1.0
- PTJ
- AFShuwen Chen
Zheng Qiao
Yan Niu
Joo Chuan Yeo
Yuanchao Liu
Jiaming Qi
Shicheng Fan
Xiaoyan Liu
Jee Yeon Lee
Chwee Teck Lim
- TIWearable flexible microfluidic sensing technologies
- SONATURE REVIEWS BIOENGINEERING
- DTArticle
- ABWearable biosensing technologies can provide real-time monitoring of
health and disease at the point of care. By integrating flexible
microfluidics with wearable biosensors, body fluids can be
non-invasively sampled and analysed for reliable, clinically
informative, cost-effective and continuous biomedical monitoring. In
this Review, we discuss flexible wearable microfluidic sensors for
health monitoring and disease diagnosis, highlighting materials and
engineering considerations with regard to biofluid collection, analyte
calibration, signal interferences reduction, target recognition, and
sensor reusability. We outline how such flexible microfluidic-based
biosensors can be designed for the analysis of sweat, saliva, tears,
interstitial fluid and wound exudate, and examine their applications at
the point of care. Finally, we highlight the challenges that remain to
be addressed for the clinical translation of wearable flexible
microfluidic sensors and discuss future possibilities, including the
integration of machine learning and the Internet-of-things. - Z979
- PUSPRINGERNATURE
- PACAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
- VL1
- BP950
- EP971
- DI10.1038/s44222-023-00094-w
- UTWOS:001390099200006
- ER
- EF
|
Qiao, Zheng; Chen, Shuwen; Fan, Shicheng; Xiong, Ze; Lim, Chwee Teck Epidermal Bioelectronics for Management of Chronic Diseases: Materials,
Devices and Systems ADVANCED SENSOR RESEARCH, 2 (8), 2023, DOI: 10.1002/adsr.202200068. Abstract | BibTeX | Endnote @article{WOS:001283944600005,
title = {Epidermal Bioelectronics for Management of Chronic Diseases: Materials,
Devices and Systems},
author = {Zheng Qiao and Shuwen Chen and Shicheng Fan and Ze Xiong and Chwee Teck Lim},
doi = {10.1002/adsr.202200068},
times_cited = {5},
issn = {2751-1219},
year = {2023},
date = {2023-08-01},
journal = {ADVANCED SENSOR RESEARCH},
volume = {2},
number = {8},
publisher = {WILEY},
address = {111 RIVER ST, HOBOKEN 07030-5774, NJ USA},
abstract = {Chronic diseases are currently posing a major challenge not only to our
life expectancy and healthspan but also to the healthcare system, as
patients will need continual monitoring, treatment, and care to mitigate
some of the severe health complications that may arise. Merely frequent
visits to medical facilities and clinics may not be sufficient.
Home-based point-of-care diagnosis and monitoring may be needed for the
prevention and/or management of long-term complications. Recent advances
in materials, fabrication methods, and bioelectronics have led to some
epidermal systems that can measure critical physiological parameters and
provide long-term monitoring of several chronic diseases. In this
review, it is systematically outlined the progress of epidermal
bioelectronics aimed at managing common chronic diseases, such as
cardiovascular diseases, diabetes, and chronic wounds. Flexible and
stretchable materials with related engineering approaches that render
wearability are also discussed. Finally, a list of current challenges,
future perspectives as well as potential research directions with the
aim towards better translation in bringing these wearable technologies
from the laboratory to the clinic and market are presented.
This review outlines the progress of epidermal bioelectronics aimed at
managing common chronic diseases. Flexible and stretchable materials
with related engineering approaches are also discussed. Finally, the
review ends with current challenges, future perspectives, as well as
potential research directions with the aim of better translation of
wearable technologies and bringing them from the laboratory to the
clinic and market. image},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chronic diseases are currently posing a major challenge not only to our
life expectancy and healthspan but also to the healthcare system, as
patients will need continual monitoring, treatment, and care to mitigate
some of the severe health complications that may arise. Merely frequent
visits to medical facilities and clinics may not be sufficient.
Home-based point-of-care diagnosis and monitoring may be needed for the
prevention and/or management of long-term complications. Recent advances
in materials, fabrication methods, and bioelectronics have led to some
epidermal systems that can measure critical physiological parameters and
provide long-term monitoring of several chronic diseases. In this
review, it is systematically outlined the progress of epidermal
bioelectronics aimed at managing common chronic diseases, such as
cardiovascular diseases, diabetes, and chronic wounds. Flexible and
stretchable materials with related engineering approaches that render
wearability are also discussed. Finally, a list of current challenges,
future perspectives as well as potential research directions with the
aim towards better translation in bringing these wearable technologies
from the laboratory to the clinic and market are presented.
This review outlines the progress of epidermal bioelectronics aimed at
managing common chronic diseases. Flexible and stretchable materials
with related engineering approaches are also discussed. Finally, the
review ends with current challenges, future perspectives, as well as
potential research directions with the aim of better translation of
wearable technologies and bringing them from the laboratory to the
clinic and market. image - FNClarivate Analytics Web of Science
- VR1.0
- PTJ
- AFZheng Qiao
Shuwen Chen
Shicheng Fan
Ze Xiong
Chwee Teck Lim
- TIEpidermal Bioelectronics for Management of Chronic Diseases: Materials,
Devices and Systems - SOADVANCED SENSOR RESEARCH
- DTArticle
- ABChronic diseases are currently posing a major challenge not only to our
life expectancy and healthspan but also to the healthcare system, as
patients will need continual monitoring, treatment, and care to mitigate
some of the severe health complications that may arise. Merely frequent
visits to medical facilities and clinics may not be sufficient.
Home-based point-of-care diagnosis and monitoring may be needed for the
prevention and/or management of long-term complications. Recent advances
in materials, fabrication methods, and bioelectronics have led to some
epidermal systems that can measure critical physiological parameters and
provide long-term monitoring of several chronic diseases. In this
review, it is systematically outlined the progress of epidermal
bioelectronics aimed at managing common chronic diseases, such as
cardiovascular diseases, diabetes, and chronic wounds. Flexible and
stretchable materials with related engineering approaches that render
wearability are also discussed. Finally, a list of current challenges,
future perspectives as well as potential research directions with the
aim towards better translation in bringing these wearable technologies
from the laboratory to the clinic and market are presented.
This review outlines the progress of epidermal bioelectronics aimed at
managing common chronic diseases. Flexible and stretchable materials
with related engineering approaches are also discussed. Finally, the
review ends with current challenges, future perspectives, as well as
potential research directions with the aim of better translation of
wearable technologies and bringing them from the laboratory to the
clinic and market. image - Z95
- PUWILEY
- PA111 RIVER ST, HOBOKEN 07030-5774, NJ USA
- SN2751-1219
- VL2
- DI10.1002/adsr.202200068
- UTWOS:001283944600005
- ER
- EF
|