Clinical trial · Interventional
PRECISE CURATE.AI Pilot Clinical Trial
Personalised, Rational, Efficacy-driven Cancer Drug Dosing Via an Artificial Intelligence SystEm - CURATE.AI (PRECISE CURATE.AI Trial)
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
In the current clinical context, drug dosing in oncology is dictated by toxicity. The optimal dosages of drugs in combinatory regimens for solid tumours are not clear, and the typical physician's decision on dose adjustment is a clinical judgement based on the degree of toxicity experienced by the patient. CURATE.AI - a small data, AI-derived technology platform - allows personalised guidance of an individual's dose modulations based only on that individual's data. Additionally, CURATE.AI is mechanism-independent, and dynamically adapts to changes experienced by the subject, providing dynamic dose optimisation throughout the duration of the subject's treatment. This study aims to demonstrate the feasibility of applying CURATE.AI in standard of care settings for treatment of solid tumours. An additional objective is to explore tumour markers in serial measurements at weekly frequency of probing, with modulated doses.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Solid Tumor | Solid Neoplasm | CURATED_BROADER | 0.80 |
Interventions
Interventions (5)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Capecitabine | Drug | Capecitabine | ALIAS |
| CURATE.AI | Device | — | UNRESOLVED |
| Ibrutinib | Drug | Ibrutinib | ALIAS |
| XELIRI | Drug | — | UNRESOLVED |
| XELOX | Drug | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- CURATE.AI
- description
- \- Cohort 1: Capecitabine in solid tumours. In this cohort, participants will receive the treatment in three-week cycles. Only the dose of capecitabine will be modulated with CURATE.AI, based on measurements of the tumour marker (CEA/CA19-9). CT scans for radiological assessment will be performed according to standard of care, usually after every 2 to 3 cycles of chemotherapy for Cohort 1 only. Cohort 2: Ibrutinib in Waldenström macroglobulinaemia In this cohort, participants will receive the treatment in four-week cycles. The total cumulative dose of Ibrutinib will be modulated with CURATE.AI, based on measurements of the tumour marker (IgM paraprotein).
- interventionNames
- Device: CURATE.AI
- Drug: Capecitabine
- Drug: XELOX
- Drug: XELIRI
- Drug: Ibrutinib
Primary outcomes (1)
- measure
- Percentage of participants in whom we successfully apply CURATE.AI profile.
- timeFrame
- Up to 12 months
- description
- CURATE.AI applicability: Percentage of participants in whom we successfully apply CURATE.AI profile. Based on percentages, outcomes will be classified as Green (\>70%) / Yellow (10-70%) / Red (\<10%). A decision on whether we "successfully apply" the CURATE.AI profile requires expert judgement and cannot be made based on a purely numerical process. The expert panel will consider the following factors with careful regard for the individual circumstances of each participant: 1. Error/variance (biological/analytical) is sufficiently small to allow accurate predictions 2. Profile can be generated sufficiently early for the participant to potentially benefit; 3. Dose-dependent relationship is observed; 4. Profile is actionable (i.e. fulfils the clinical investigator's pre-specified safety requirements); 5. Systemic changes in the participant which require profile recalibration are rare or readily assimilated into the CURATE.AI algorithm.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 21 Years
- Maximum age
- 99 Years
Show eligibility criteria text
Inclusion Criteria:
1. General Inclusion Criteria
1. Males and females ≥ 21 years of age.
2. Eastern Cooperative Oncology Group (ECOG) Performance Status of 0 to 2.
3. Patients must meet the following clinical laboratory criteria within 21 days of starting treatment:
1. Absolute neutrophil count (ANC) ≥ 1,000/mm3 and platelet ≥ 50,000/mm3
2. Total bilirubin ≤ 1.5 x the upper limit of the normal range (ULN). Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) ≤ 3 x ULN or ≤ 5 ULN if involvement of the liver.
3. Calculated creatinine clearance ≥ 30mL/min or creatinine \< 1.5 x ULN
Exclusion Criteria:
2. General Exclusion Criteria
1. Patients who are lactating or pregnant.
2. Major surgery within 28 days prior to start of the treatment.
3. Active congestive heart failure (New York Heart Association \[NYHA\] Class III or IV), symptomatic ischaemia, or conduction abnormalities uncontrolled by conventional intervention. Myocardial infarction within 4 months prior to informed consent obtained.
4. Patients with clinically significant hypersensitivity to one or more of the selected regimen's constituent drug(s) (e.g. patient's with clinically significant hypersensitivity to oxaliplatin may not be enrolled on the XELOX regimen, but may be allowed on the XELIRI regimen).
5. Contraindication to any of the required concomitant drugs or supportive treatments.
6. Any clinically significant medical disease or psychiatric condition that, in the investigator's opinion, may interfere with protocol adherence or a subject's ability to give informed consent.
3. Specific Recruitment Criteria for Cohort 1: Capecitabine in solid tumours
i. Specific Inclusion Criteria
1. Metastatic solid tumours not for curative intent therapy;
2. Planned for treatment with the following chemotherapy regimens: XELOX, XELIRI or single agent capecitabine.
3. Patients must have raised tumour marker above upper limit of local laboratory normal (e.g. CEA, CA19-9).
ii. Specific Exclusion Criteria Nil
d. Specific Recruitment Criteria for Cohort 2: Ibrutinib in Waldenström macroglobulinaemia
i. Specific Inclusion Criteria
1. Waldenström macroglobulinaemia (either newly diagnosed or relapsed) as defined by the World Health Organisation 2016 diagnostic criteria.
2. Immunofixation confirms immunoglobulin M paraprotein and total IgM \> 2 x ULN.
ii. Specific Exclusion Criteria
1. Systemic anti-lymphoma therapy within 3 weeks of enrolment. Steroids at a dose equivalent of prednisolone 30mg per day are allowed provided this is discontinued 72 hours prior to commencement of drug dosing on trial.
2. Need to withhold rituximab in view of the risk of IgM flare (applies to patients treated with rituximab-based regimens).
3. Platelet transfusion within 7 days of screening.
4. Granulocyte colony stimulating factor within 7 days of screening.References
Publications (6)
- RESULTThummel KE, Lin YS. Sources of interindividual variability. Methods Mol Biol. 2014;1113:363-415. doi: 10.1007/978-1-62703-758-7_17. PMID 24523121
- RESULTBlasiak A, Khong J, Kee T. CURATE.AI: Optimizing Personalized Medicine with Artificial Intelligence. SLAS Technol. 2020 Apr;25(2):95-105. doi: 10.1177/2472630319890316. Epub 2019 Nov 26. PMID 31771394
- RESULTRashid MBMA, Toh TB, Hooi L, Silva A, Zhang Y, Tan PF, Teh AL, Karnani N, Jha S, Ho CM, Chng WJ, Ho D, Chow EK. Optimizing drug combinations against multiple myeloma using a quadratic phenotypic optimization platform (QPOP). Sci Transl Med. 2018 Aug 8;10(453):eaan0941. doi: 10.1126/scitranslmed.aan0941. PMID 30089632
- RESULTHo D. Artificial intelligence in cancer therapy. Science. 2020 Feb 28;367(6481):982-983. doi: 10.1126/science.aaz3023. No abstract available. PMID 32108102
- RESULTZarrinpar 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. PMID 27053773
- DERIVEDTan BKJ, Teo CB, Tadeo X, Peng S, Soh HPL, Du SX, Luo VWY, Bandla A, Sundar R, Ho D, Kee TW, Blasiak A. Personalised, Rational, Efficacy-Driven Cancer Drug Dosing via an Artificial Intelligence SystEm (PRECISE): A Protocol for the PRECISE CURATE.AI Pilot Clinical Trial. Front Digit Health. 2021 Apr 12;3:635524. doi: 10.3389/fdgth.2021.635524. eCollection 2021. PMID 34713106