NCT04357691

Effects of Different Cardiorespiratory Training Program on Endurance Performance

Status unknown NA Last updated 4 May 2020

What this trial tests

NA trial testing Conventional training in Healthy in 20 participants. Status unknown.

Timeline

25 May 2020

Primary endpoint
31 December 2022

31 December 2022

Quick facts

Lead sponsor	Wang Yongtai Raymond
Phase	NA
Status	Status unknown
Study type	INTERVENTIONAL
Allocation	non randomized
Design	crossover
Masking	single
Primary purpose	other
Enrollment	20
Start date	25 May 2020
Primary completion	31 December 2022
Estimated completion	31 December 2022
Sites	1 location across Singapore

Drugs / interventions tested

• Conventional training
• AI-led training

Conditions studied

• Healthy — all drugs for Healthy →

Sponsor

Wang Yongtai Raymond

Who can join

Adults 21 to 35, male only, with Healthy. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Conventional training methods are typically administered in a fixed progressive manner, which can lead to sub-optimal responses and injuries. Artificial intelligence (i.e. CURATE.AI) can be harnessed to personalise physical training strategies. Using a single participant training profile, a parabolic/quadratic response to the intervention can be generated to identify the training intensity needed to optimise training outcomes. Previous studies showed CURATE.AI could dynamically modulate drug dosing in oncology. Extending the utility of results to human performance, this study will adapt CURATE.AI with the goal of optimising endurance performance through individualised training regimes.

Up to 20 participants will be recruited and randomised into two groups to undergo a calibration phase, which involves performing 3 sessions of exercise sessions per week over 2 weeks per intensity (low, moderate and high) in a crossover study design. Exercise sessions will be interspersed with a 2.4 km time trial, a VO2peak test and 2 weeks of wash out period. The utility phase will divide participants into two groups to undergo 3 exercise sessions per week, totalling to 12 exercise sessions. Either an AI-led training or a conventional training programme will be performed to compare the differences in training outcomes. Blood plasma will be obtained at selected time points in both phases to evaluate the effects of training on blood lipid profiles.

Findings from this study can potentially optimise efficacy and efficiency of endurance performance through personalised training with AI.

Publications & conference data

2 peer-reviewed publications reference this trial (live from Europe PMC):

1. Personalized dose selection for the first Waldenström macroglobulinemia patient on the PRECISE CURATE.AI trial.
   Blasiak A, Tan LWJ, Chong LM, Tadeo X, et al · · 2024 · cited 8× · PMID 39191913 · DOI 10.1038/s41746-024-01195-5
2. N-of-1 medicine.
   Wang P, Leong QY, Lau NY, Ng WY, et al · · 2024 · cited 5× · PMID 38527301 · DOI 10.4103/singaporemedj.smj-2023-243