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Transcutaneous spinal cord stimulation combined with robotic-assisted body weight-supported treadmill training enhances motor score and gait recovery in incomplete spinal cord injury: a double-blind randomized controlled clinical trial.
J Neuroeng Rehabil
January 2025
Toledo Physiotherapy Research Group (GIFTO), Faculty of Physiotherapy and Nursing of Toledo, Universidad de Castilla-La Mancha, Toledo, Spain.
Background: Although transcutaneous spinal cord stimulation (tSCS) has been suggested as a safe and feasible intervention for gait rehabilitation, no studies have determined its effectiveness compared to sham stimulation.
Objective: To determine the effectiveness of tSCS combined with robotic-assisted gait training (RAGT) on lower limb muscle strength and walking function in incomplete spinal cord injury (iSCI) participants.
Methods: A randomized, double-blind, sham-controlled clinical trial was conducted.
A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification.
Sci Data
January 2025
The Griffin Institute, Northwick Park and St Mark's Hospital, Watford Road, London, HA13UJ, UK.
Minimally invasive surgery is complex and prone to variation not routinely objectively measured. We established an association between skills and patient outcomes. The evolving application of artificial intelligence techniques could assist intraoperative analysis.
View Article and Find Full Text PDFAutomated insulin delivery during the first 6 months postpartum (AiDAPT): a prespecified extension study.
Lancet Diabetes Endocrinol
January 2025
Norwich Medical School, University of East Anglia, Norwich, UK; Diabetes and Antenatal Care, Norfolk and Norwich NHS Foundation Trust, Norwich, UK. Electronic address:
Background: Clinical guidelines in the UK and elsewhere do not specifically address hybrid closed loop (HCL) use in the postpartum period when the demands of caring for a newborn are paramount. Our aim was to evaluate the safety and efficacy of HCL use during the first 6 months postpartum compared with standard care.
Methods: In this prespecified extension to a multicentre, randomised controlled trial, pregnant women with type 1 diabetes at nine UK sites were followed up for 6 months postpartum.
Advancing newborn care: Precise time of birth detection using ai-driven thermal imaging with adaptive normalization.
Comput Biol Med
January 2025
Dept. Electrical Engineering and Computer Science, University of Stavanger, Kristine Bonnevies vei 22, Stavanger, 4021, Rogaland, Norway.
Around 5%-10% of newborns need assistance to start breathing. Currently, there is a lack of evidence-based research, objective data collection, and opportunities for learning from real newborn resuscitation emergency events. Generating and evaluating automated newborn resuscitation algorithm activity timelines relative to the Time of Birth (ToB) offers a promising opportunity to enhance newborn care practices.
View Article and Find Full Text PDFLaboratory measurement and machine learning-based analysis of driving factors for brake wear particle emissions from light-duty electric vehicles and heavy-duty vehicles.
J Hazard Mater
January 2025
Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
This study investigates brake wear particle (BWP) emissions from light-duty electric vehicles (EVs) and heavy-duty vehicles (HDVs) using a self-developed whole-vehicle testing system and a modified brake dynamometer. The results show that regenerative braking significantly reduces emissions: weak and strong regenerative braking modes reduce brake wear PM by 75 % and 87 %, and brake wear PM by 90 % and 95 %, respectively. HDVs with drum brakes produce lower emissions and higher PM/PM ratios than those with disc brakes.
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