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CTRI Number  CTRI/2025/10/096546 [Registered on: 28/10/2025] Trial Registered Prospectively
Last Modified On: 27/10/2025
Post Graduate Thesis  No 
Type of Trial  Observational 
Type of Study   NIL 
Study Design  Other 
Public Title of Study   Evaluation of an AI Based Tool for Early Diagnosis and Prediction of Diseases 
Scientific Title of Study   Clinical Validation Of Cure Catalyst -AI Diagnostic And Predictive Tool 
Trial Acronym  nil 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  DRBhavana Doshi 
Designation  Professor & Head 
Affiliation  KLES Dr.Prabhakar Kore Hospital  
Address  KLES Dr.Prabhakar Kore Hospital & MRC Nehru Nagar Belagavi J.N.Medical College Belagavi

Belgaum
KARNATAKA
590010
India 
Phone  9422306523  
Fax    
Email  bhavs1982@gmail.com  
 
Details of Contact Person
Scientific Query
 
Name  DRBhavana Doshi 
Designation  Professor & Head 
Affiliation  KLES Dr.Prabhakar Kore Hospital  
Address  KLES Dr.Prabhakar Kore Hospital & MRC Nehru Nagar Belagavi J.N.Medical College Belagavi

Belgaum
KARNATAKA
590010
India 
Phone  9422306523  
Fax    
Email  bhavs1982@gmail.com  
 
Details of Contact Person
Public Query
 
Name  Dr Rupinder Kaur 
Designation  Chief Medical Officer 
Affiliation  Superceuticals Private Limited 
Address  Plot No 19 Infocity 2 Sector 33 Gurgaon

Gurgaon
HARYANA
122002
India 
Phone  9833001174  
Fax    
Email  drkaur@superceuticals.in  
 
Source of Monetary or Material Support  
SUPERCEUTICALS PVT LTD 
 
Primary Sponsor  
Name  Superceuticals Private Ltd 
Address  Plot no 19 Infocity2 Sector 33 Gurgaon 
Type of Sponsor  Other [Company owned] 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
DR BHAVANA DOSHI  KLES Dr Prabhakar Kore Hospital And MRC  KLES DR PRABHAKAR KORE HOSPITAL NEHRU NAGAR BELGAVI 590010
Belgaum
KARNATAKA 
9422306523
000
bhavs1982@gmail.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Institutional Ethics Comitee Of KLE Academy Of Higher Education And Research  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: L00-L99||Diseases of the skin and subcutaneous tissue,  
 
Intervention / Comparator Agent  
Type  Name  Details 
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  65.00 Year(s)
Gender  Both 
Details  Patients presenting the visible dermatological conditions e.g
rashes
lesions
pigmentation disorders
inflammatory and non inflammatory diseases 
 
ExclusionCriteria 
Details   
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
Diagnostic accuracy Sensitivity Specificity Predictive value of cure catalyst AI compared to dermatological assessment  At baseline 
 
Secondary Outcome  
Outcome  TimePoints 
NIL  NIL 
 
Target Sample Size   Total Sample Size="1000"
Sample Size from India="1000" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   10/12/2025 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="0"
Months="11"
Days="0" 
Recruitment Status of Trial (Global)   Not Yet Recruiting 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary   This clinical study aims to validate the performance of Cure Catalyst ,an AI -powered diagnostic and predictive tool for dermatological conditions .The tool leverages machine learning algorithm to analyze skin images and patient data for accurate and early detection of common dermatological disorders . 
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