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John Daniels

Showing results (41-50 of 44) with videos related to

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NPJ Digital Medicine|November 3, 2024
Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoringDamien Keng Ming, John Daniels, Ho Quang Chanh, et al.
Science (New York, N.Y.)|April 6, 2023
Lead zirconate titanate ceramics with aligned crystallite grainsJinglei Li, Wanbo Qu, John Daniels, et al.
BMJ Open|October 15, 2015
Understanding burn injuries in Aboriginal and Torres Strait Islander children: protocol for a prospective cohort studyRebecca Q Ivers, Kate Hunter, Kathleen Clapham, et al.
Ebiomedicine|May 30, 2024
Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical studyStefan Karolcik, Vasileos Manginas, Ho Quang Chanh, et al.
Pageof 5

Showing results (41-50 of 44) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 44 results.
NPJ Digital Medicine|November 3, 2024
Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoringDamien Keng Ming, John Daniels, Ho Quang Chanh, et al.
Science (New York, N.Y.)|April 6, 2023
Lead zirconate titanate ceramics with aligned crystallite grainsJinglei Li, Wanbo Qu, John Daniels, et al.
BMJ Open|October 15, 2015
Understanding burn injuries in Aboriginal and Torres Strait Islander children: protocol for a prospective cohort studyRebecca Q Ivers, Kate Hunter, Kathleen Clapham, et al.
Ebiomedicine|May 30, 2024
Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical studyStefan Karolcik, Vasileos Manginas, Ho Quang Chanh, et al.
Pageof 5