Cognitive DeclineNCT04848935
CURATE.AI COR-Tx Trial for Post Brain Radiotherapy Patients
A study testing CURATE.AI in people with Cognitive Decline, run by National University Hospital, Singapore at 2 sites in Singapore.
Trial summary
Cognitive deficit is common in patients who have undergone whole brain or partial brain radiotherapy. To counteract intellectual deterioration, the conventional strategies includes drug- based treatments such as donezepil and memantine, which have shown to only provide marginal improvement and, cognitive training… Read more about this study
- Who is it for?
- Ages 21 to 99 years
- Conditions the study is for
- Cognitive Decline
- What is being tested?
- CURATE.AI
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 15 participants
- Where
- 2 sitesSingapore
- Study dates
- 14 Jun 2021to 1 Jul 2022
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 21 to 99 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age >21 years.
- ECOG performance status 0 to 2.
- Patients with a neoplastic condition (benign or malignant) involving the brain or skull requiring radiotherapy (with or without chemotherapy).
- Patients with a life expectancy of at least 6 months.
Who cannot join
- Pregnant or breastfeeding women.
- Patients undergoing stereotactic radiosurgery (single fraction).
- Patients who are undergoing re-irradiation to the same area of the brain.
- Patients physically incapable of using computer tablet (either due to vision loss or dominant hand weakness)
- Patients who cannot understand spoken English language.
- Patients who are unable to give informed consent.
Trial locations and contacts
2 sites in 1 country.
Qian Yee, Queenie Chai contact
Singapore2 sites, 2 recruiting
- Recruiting
National University Hospital
Singapore
Qian Yee, Queenie Chai, Coordinator, queenie_qy_chai@nuhs.edu.sg
Fatin Aliyah, Coordinator, fatin_hussin@nuhs.edu.sg
- Recruiting
The N.1 Institute for Health (N.1), NUS
Singapore
Xavier Tadeo, PhD, biextc@nus.edu.sg
Yoong Hun Ong, MSc, +6596680807, yh.ong@nus.edu.sg
About this study
Official title: CURATE.AI Optimised Digital COgnitive Rehabilitation Therapy (COR-Tx) for Post Brain Radiotherapy Patients: CURATE.AI COR-Tx Mixed-methods Feasibility Clinical Trial
Cognitive deficit is common in patients who have undergone whole brain or partial brain radiotherapy. To counteract intellectual deterioration, the conventional strategies includes drug- based treatments such as donezepil and memantine, which have shown to only provide marginal improvement and, cognitive training regimens, both of which are usually administered at fixed dose/intensities often leading to sub-optimal responses. This study aims to address this clinically relevant problem by harnessing the CURATE.AI platform to identify N-of-1cognitive training profiles the can enhance learning trajectories through individualised calibration and training regimens. CURATE.AI is a phenotypic personalised medicine (PPM) platform that correlates a patient's phenotypic response (cognitive performance) to a certain input (training intensity) based exclusively on the patient's data. This PPM platform is independent of biological system or interventional agent and can be applied to any disorder treatment where dosing/intensity could be better personalised. CURATE.AI is expected to optimise/personalise cognitive training in post-brain radiotherapy patients by dynamically modulating the intensity of a digital cognitive test battery that measures executive processing, multitasking and perceptual learning tasks. In addition, this clinical feasibility trial aims to assess this cognitive test battery as a potential analogous or complementary diagnostic tool as compared to traditional cognitive evaluations performed by a clinician.
Read the detailed description
Brain radiotherapy causes downstream cognitive deficits. Drug-based cognitive decline treatments show little improvement and side effects may reduce patient compliance. Regimens are usually administered at a fixed dose that doesn't incorporate high patient variability, leading to sub-optimal responses.
Effective cognitive training can improve cognitive performance. Artificial intelligence platforms show great potential for training personalisation. The CURATE.AI platform can be used to identify N-of-1 (single subject) training profiles that can be used to optimise learning trajectories through individualised calibration and training regimens, potentially leading to improved outcomes compared to standard static or adaptive training strategies. CURATE.AI uses only a subject's own performance data to identify the intensity needed for his/her best output. As the subject evolves during the course of intervention, the training intensities are dynamically modulated to maintain performance within a given range.
Here the investigators propose to test the feasibility of CURATE.AI, with a digital cognitive test battery as the interface, as an adaptive training platform for cognitive training addressed to improve brain cancer radiotherapy patients' cognitive performance. The acceptability, implementation and limited efficacy of the digital intervention (DI) will be explored. In addition, the investigators propose to test the feasibility of the digital cognitive test battery potential as a digital diagnostic (DD) tool as compared to traditional cognitive evaluations performed by a clinician. User experience and usability will also be explored.
- Conditions
- Cognitive Decline
- Being tested
- CURATE.AI
- Keywords
- Oncology, Digital therapeutics, Cognitive evaluation, Digital diagnostic, Cognitive training, Phenotypic Personalised Medicine (PPM), Multi-Attribute Task Battery (MATB), Training intensity, Radiotherapy, CURATE.AI
- Medical subject headings
- Cognitive Dysfunction, Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
CURATE.AIDevice
CURATE.AI will be utilised to provide personalised training intensity recommendations (low, medium or high) to the patients during the digital cognitive test battery DI session. The difficulty of each task will be modulated by CURATE.AI by adjusting the frequency of critical events that demand evaluation and/or response.
| Study group | Role | What they receive |
|---|---|---|
| CURATE.AI | Experimental | A cognitive evaluation and a Digital Diagnostic (DD) session performed anytime before radiotherapy will serve as the baseline. After the radiotherapy treatment, which can last between 1 to 6.5 weeks, patients will have a variable recovery time (0 to 4 weeks). Subsequently, patients will be subject to a cognitive evaluation and a DD session, right before starting the Digital Intervention (DI) training. This training will comprise ten weeks of DI (three 10-15 minute sessions per week). Patients will complete cognitive evaluations and DD sessions at the end of DI, and 16 and 32 weeks after the end of DI. Receives: Device: CURATE.AI |
What is being measured
The primary outcome is the main question the study is designed to answer.
Patient acceptability of the digital cognitive test battery DI/DD obtained during a semi-structured interview
Qualitative summary of patient acceptability of the digital cognitive test battery DI/DD
Measured: One visit 60 minutes (at the end of the 10 week intervention)
Patient adherence to the DI/DD
Percentage of completed DI/DD sessions
Measured: up to 12 months
Patient attrition rate to the DI/DD
Percentage of patients that drop out of DI/DD
Measured: up to 12 months
Percentage of CURATE.AI profiles successfully created and applied
Measured: up to 12 months
Timely delivery of DI/DD at indicated time points
Percentage of DI/DD sessions successfully delivered by study team at indicated time points
Measured: up to 12 months
Digital intervention limited efficacy
Change in cognitive performance as measured by the standard of care cognitive evaluations pre-post digital intervention
Measured: up to 12 months
Digital diagnostic limited efficacy
Correlation between standard of care cognitive evaluations scores and digital diagnostic scores
Measured: up to 12 months
Secondary outcomes (1)
1. Usability of the digital cognitive test battery DI/DD obtained during a semi-structured interview
Qualitative summary of patient usability of the digital cognitive test battery DI/DD
Measured: One visit 60 minutes (at the end of the 10 week intervention)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Apr 2021
- Study start14 Jun 2021
- Primary completion1 Jan 2022 (estimated)
- Study completion1 Jul 2022 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (4)Papers the sponsor has linked to this study.
- Other trials for Cognitive DeclineStudies of the same condition, open and under way.
- More trials run by National University Hospital, SingaporeThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 15 participants (estimated)
Sponsor and investigators
- Lead sponsor
- National University Hospital, Singapore
- Sponsor type
- University, hospital or other
- Collaborators
- National University of Singapore, The N.1 Institute for Health (N.1)
- Responsible party
- Principal investigator, Radiation Oncology, National University Hospital, Singapore
- Investigators
- Dr Balamurugan A Vellayappan, Principal investigator, National University of Singapore
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04848935
- Sponsor's protocol ID
- 2020/00249
- Status last verified
- Nov 2021
- First submitted
- 2 Mar 2021
- Last updated
- 12 Nov 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Kee, Theodore & Weiyan, Chee & Blasiak, Agata & Chong, Jordan & Chen, Jonna & Yeo, B.T. Thomas & Ho, Dean & Asplund, Christopher. (2019). Harnessing CURATE.AI as a Digital Therapeutics Platform by Identifying N-of-1 Learning Trajectory Profiles. Advanced Therapeutics. 2. 1900023. 10.1002/adtp.201900023.
Zarrinpar A, Lee DK, Silva A, Datta N, Kee T, Eriksen C, Weigle K, Agopian V, Kaldas F, Farmer D, Wang SE, Busuttil R, Ho CM, Ho D. Individualizing liver transplant immunosuppression using a phenotypic personalized medicine platform. Sci Transl Med. 2016 Apr 6;8(333):333ra49. doi: 10.1126/scitranslmed.aac5954.
PubMed 27053773Pantuck AJ, Lee DK, Kee T, Wang P, Lakhotia S, Silverman MH, Mathis C, Drakaki A, Belldegrun AS, Ho CM, Ho D. Modulating BET bromodomain inhibitor ZEN-3694 and enzalutamide combination dosing in a metastatic prostate cancer patient using CURATE. AI, an artificial intelligence platform. Advanced Therapeutics. 2018 Oct;1(6):1800104.
Remus A, Tadeo X, Kai GNS, Blasiak A, Kee T, Vijayakumar S, Nguyen L, Raczkowska MN, Chai QY, Aliyah F, Rusalovski Y, Teo K, Yeo TT, Wong ALA, Chia D, Asplund CL, Ho D, Vellayappan BA. CURATE.AI COR-Tx platform as a digital therapy and digital diagnostic for cognitive function in patients with brain tumour postradiotherapy treatment: protocol for a prospective mixed-methods feasibility clinical trial. BMJ Open. 2023 Oct 24;13(10):e077219. doi: 10.1136/bmjopen-2023-077219.
PubMed 37879700
Study at a glance
From the registry record, last updated by the sponsor on 12 Nov 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- CURATE.AI Optimised Digital COgnitive Rehabilitation Therapy (COR-Tx) for Post Brain Radiotherapy Patients: CURATE.AI COR-Tx Mixed-methods Feasibility Clinical Trial
- ClinicalTrials.gov ID
- NCT04848935
- Acronym / sponsor ID
- 2020/00249
- Conditions
- Cognitive Decline
- Keywords
- Oncology, Digital therapeutics, Cognitive evaluation, Digital diagnostic, Cognitive training, Phenotypic Personalised Medicine (PPM), Multi-Attribute Task Battery (MATB), Training intensity
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 15 participants (estimated)
- Lead sponsor
- National University Hospital, SingaporeUniversity, hospital or other
- Collaborators
- National University of Singapore, The N.1 Institute for Health (N.1)
- Study start
- 14 Jun 2021 (actual)
- Primary completion
- 1 Jan 2022 (estimated)
- Study completion
- 1 Jul 2022 (estimated)
- First posted
- 19 Apr 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Cognitive deficit is common in patients who have undergone whole brain or partial brain radiotherapy. To counteract intellectual deterioration, the conventional strategies includes drug- based treatments such as donezepil and memantine, which have shown to only provide marginal improvement and, cognitive training regimens, both of which are usually administered at fixed dose/intensities often leading to sub-optimal responses. This study aims to address this clinically relevant problem by harnessing the CURATE.AI platform to identify N-of-1cognitive training profiles the can enhance learning trajectories through individualised calibration and training regimens. CURATE.AI is a phenotypic personalised medicine (PPM) platform that correlates a patient's phenotypic response (cognitive performance) to a certain input (training intensity) based exclusively on the patient's data. This PPM platform is independent of biological system or interventional agent and can be applied to any disorder treatment where dosing/intensity could be better personalised. CURATE.AI is expected to optimise/personalise cognitive training in post-brain radiotherapy patients by dynamically modulating the intensity of a digital cognitive test battery that measures executive processing, multitasking and perceptual learning tasks. In addition, this clinical feasibility trial aims to assess this cognitive test battery as a potential analogous or complementary diagnostic tool as compared to traditional cognitive evaluations performed by a clinician.
Detailed description
Brain radiotherapy causes downstream cognitive deficits. Drug-based cognitive decline treatments show little improvement and side effects may reduce patient compliance. Regimens are usually administered at a fixed dose that doesn't incorporate high patient variability, leading to sub-optimal responses.
Effective cognitive training can improve cognitive performance. Artificial intelligence platforms show great potential for training personalisation. The CURATE.AI platform can be used to identify N-of-1 (single subject) training profiles that can be used to optimise learning trajectories through individualised calibration and training regimens, potentially leading to improved outcomes compared to standard static or adaptive training strategies. CURATE.AI uses only a subject's own performance data to identify the intensity needed for his/her best output. As the subject evolves during the course of intervention, the training intensities are dynamically modulated to maintain performance within a given range.
Here the investigators propose to test the feasibility of CURATE.AI, with a digital cognitive test battery as the interface, as an adaptive training platform for cognitive training addressed to improve brain cancer radiotherapy patients' cognitive performance. The acceptability, implementation and limited efficacy of the digital intervention (DI) will be explored. In addition, the investigators propose to test the feasibility of the digital cognitive test battery potential as a digital diagnostic (DD) tool as compared to traditional cognitive evaluations performed by a clinician. User experience and usability will also be explored.
Study design
- Primary purpose
- Treatment
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| CURATE.AI | Experimental | Device: CURATE.AIA cognitive evaluation and a Digital Diagnostic (DD) session performed anytime before radiotherapy will serve as the baseline. After the radiotherapy treatment, which can last between 1 to 6.5 weeks, patients will have a variable recovery time (0 to 4 weeks). Subsequently, patients will be subject to a cognitive evaluation and a DD session, right before starting the Digital Intervention (DI) training. This training will comprise ten weeks of DI (three 10-15 minute sessions per week). Patients will complete cognitive evaluations and DD sessions at the end of DI, and 16 and 32 weeks after the end of DI. |
Who may qualify
- Ages
- 21 to 99 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Age >21 years.
- ECOG performance status 0 to 2.
- Patients with a neoplastic condition (benign or malignant) involving the brain or skull requiring radiotherapy (with or without chemotherapy).
- Patients with a life expectancy of at least 6 months.
Key exclusion criteria (6 listed)
- Pregnant or breastfeeding women.
- Patients undergoing stereotactic radiosurgery (single fraction).
- Patients who are undergoing re-irradiation to the same area of the brain.
- Patients physically incapable of using computer tablet (either due to vision loss or dominant hand weakness)
- Patients who cannot understand spoken English language.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| CURATE.AICURATE.AI will be utilised to provide personalised training intensity recommendations (low, medium or high) to the patients during the digital cognitive test battery DI session. The difficulty of each task will be modulated by CURATE.AI by adjusting the frequency of critical events that demand evaluation and/or response. | Device | CURATE.AI |
Primary outcome
Patient acceptability of the digital cognitive test battery DI/DD obtained during a semi-structured interview
Time frame: One visit 60 minutes (at the end of the 10 week intervention)
Qualitative summary of patient acceptability of the digital cognitive test battery DI/DD
Patient adherence to the DI/DD
Time frame: up to 12 months
Percentage of completed DI/DD sessions
Patient attrition rate to the DI/DD
Time frame: up to 12 months
Percentage of patients that drop out of DI/DD
Percentage of CURATE.AI profiles successfully created and applied
Time frame: up to 12 months
Timely delivery of DI/DD at indicated time points
Time frame: up to 12 months
Percentage of DI/DD sessions successfully delivered by study team at indicated time points
Digital intervention limited efficacy
Time frame: up to 12 months
Change in cognitive performance as measured by the standard of care cognitive evaluations pre-post digital intervention
Digital diagnostic limited efficacy
Time frame: up to 12 months
Correlation between standard of care cognitive evaluations scores and digital diagnostic scores
1 secondary outcome
1. Usability of the digital cognitive test battery DI/DD obtained during a semi-structured interview
Time frame: One visit 60 minutes (at the end of the 10 week intervention)
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 12 Nov 2021.
- BackgroundKee, Theodore & Weiyan, Chee & Blasiak, Agata & Chong, Jordan & Chen, Jonna & Yeo, B.T. Thomas & Ho, Dean & Asplund, Christopher. (2019). Harnessing CURATE.AI as a Digital Therapeutics Platform by Identifying N-of-1 Learning Trajectory Profiles. Advanced Therapeutics. 2. 1900023. 10.1002/adtp.201900023.
- Background: PubMed 27053773Zarrinpar A, Lee DK, Silva A, Datta N, Kee T, Eriksen C, Weigle K, Agopian V, Kaldas F, Farmer D, Wang SE, Busuttil R, Ho CM, Ho D. Individualizing liver transplant immunosuppression using a phenotypic personalized medicine platform. Sci Transl Med. 2016 Apr 6;8(333):333ra49. doi: 10.1126/scitranslmed.aac5954.
- BackgroundPantuck AJ, Lee DK, Kee T, Wang P, Lakhotia S, Silverman MH, Mathis C, Drakaki A, Belldegrun AS, Ho CM, Ho D. Modulating BET bromodomain inhibitor ZEN-3694 and enzalutamide combination dosing in a metastatic prostate cancer patient using CURATE. AI, an artificial intelligence platform. Advanced Therapeutics. 2018 Oct;1(6):1800104.
- Derived from this study: PubMed 37879700Remus A, Tadeo X, Kai GNS, Blasiak A, Kee T, Vijayakumar S, Nguyen L, Raczkowska MN, Chai QY, Aliyah F, Rusalovski Y, Teo K, Yeo TT, Wong ALA, Chia D, Asplund CL, Ho D, Vellayappan BA. CURATE.AI COR-Tx platform as a digital therapy and digital diagnostic for cognitive function in patients with brain tumour postradiotherapy treatment: protocol for a prospective mixed-methods feasibility clinical trial. BMJ Open. 2023 Oct 24;13(10):e077219. doi: 10.1136/bmjopen-2023-077219.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Qian Yee, Queenie Chai contact
Dr Balamurugan A Vellayappan principal investigator
National University of Singapore
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing CURATE.AI in people with Cognitive Decline, run by National University Hospital, Singapore at 2 sites in Singapore.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 12 Nov 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Singapore. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Dr Balamurugan A Vellayappan (+65 67795555, bala_vellayappan@nuhs.edu.sg), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Patient acceptability of the digital cognitive test battery DI/DD obtained during a semi-structured interview (time frame: One visit 60 minutes (at the end of the 10 week intervention)). The study lists 7 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04848935, which also lists 4 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 12 Nov 2021.