Prototype in Clinical Trials

End Late

Cancer

Detection

$ _

OncoTest integrates a dual-biomarker platform with advanced AI algorithms to deliver 96% accurate results in just 10 minutes — anytime, anywhere.

0%
Accuracy
10min
Results Time
₹499
Per Test
7+
Partners
oncotest_ai_analysis.exe
LIVE
CA 15-3 BiomarkerELEVATED
CRP InflammationMODERATE
AI Confidence ScoreHIGH
ANALYSIS COMPLETE
RISK: DETECTED — Stage 1
The Problem

Current Methods
Fail Patients

Every year, millions of cancers are detected too late. Existing diagnostic tools are expensive, inaccessible, slow, or operator-dependent — making timely screening a privilege, not a right.

Global Impact
9.7M
Cancer deaths globally per year
44%
Diagnosed at late stages
5×
Better survival with early detection
🔬
20%
Miss Rate

Mammograms

Often miss dense tissue areas, compromising early detection accuracy.

🧲
₹15K+
Per Scan

MRI Scans

High costs and infrastructure needs severely limit accessibility outside major hospitals.

🩺
35%
Variability

Ultrasound

Accuracy is highly dependent on operator skill, leading to inconsistent results.

🧬
0%
Active Detection

Genetic Tests

Indicate predisposition only — cannot confirm the presence of active disease.

There is a better way
AI Technology

How OncoTest's AI Engine Works

A seamless 5-step pipeline from blood sample to clinical decision — powered by machine learning trained on thousands of validated cancer profiles.

01
💉Blood Sample Input

A single drop of blood is applied to the OncoTest lateral flow strip.

0 min
02
🧬Dual Biomarker Binding
3 min
03
📡Signal Amplification
7 min
04
🤖AI Pattern Analysis
9 min
05
📋Clinical Report
10 min
💉
Step 01 / 05

Blood Sample Input

A single drop of blood is applied to the OncoTest lateral flow strip.

0 min

Dual-Biomarker Synergy

Integrates CA 15-3 and CRP biomarkers simultaneously for unmatched precision unachievable by single-marker tests.

Neural Network Analysis

Custom-trained deep learning models analyze biomarker ratios with accuracy beyond traditional thresholds.

Population-Scale Ready

Validated for large-scale screening programmes — deployable in remote areas with zero lab infrastructure.

Instant Result Engine

Proprietary rapid lateral flow technology delivers clinically validated results in 10 minutes flat.

AI + Data Science

We Train AI on
Real Cancer Data
to Save Lives

OncoTest's intelligence isn't magic — it's math. Our AI model was trained on thousands of real patient blood profiles, validated across multiple hospitals, and continuously refined as new data flows in.

🩸
12,400+
Patient Blood Profiles
🧬
4,800+
Validated Cancer Cases
📊
2.1M+
Biomarker Data Points
🏥
7 Sites
Hospital Records
Live Model Training Log
oncotest_model_training.log
RUNNING
█
Python 3.11 · scikit-learn · TensorFlowEXIT: 0
Data → AI Pipeline
A
Data Collection

Blood samples from partner hospitals across India. Each sample logged with patient age, gender, and clinical outcome.

B
Feature Engineering

Raw biomarker readings are normalised, outliers removed, and 14 derived features computed per sample.

C
Model Training

Ensemble of XGBoost + deep neural network trained on labeled cancer/non-cancer dataset with 5-fold cross validation.

D
Real-Time Inference

When a test strip is scanned, the AI model runs inference in <200ms and outputs a risk score with confidence band.

Model Performance

Validated Against
Clinical Standards

Our AI model is benchmarked against WHO-aligned clinical diagnostic standards, tested on held-out patient data never seen during training.

SensitivityTrue positive rate — correctly identifies cancer present
94%
SpecificityTrue negative rate — correctly rules out false alarms
97%
Overall AccuracyCombined model performance on validation dataset
96%
AUC-ROC ScoreArea under curve — gold standard ML diagnostic metric
98%
Market Impact

Transforming Healthcare
At Every Level

OncoTest is designed to integrate across the full spectrum of healthcare — from elite hospitals to the most remote villages. One test. Universal access.

🏥

Point-of-Care Testing

Outpatient clinics for seamless integration into routine check-ups with immediate decisions.

🌏

Population Screening

Broadening access to early diagnostics for national and regional health initiatives.

🚑

Underserved Communities

Deploying an affordable, easy-to-use test in rural and remote areas with limited access.

🔬

Clinical Research

A valuable, data-rich tool for oncology studies and pharmaceutical trials.

Competitive Edge

Why OncoTest Wins

Metric
Traditional
OncoTest
Cost per test
₹1,500–3,000
₹499
Result time
24–48 hours
10 minutes
Operator skill needed
Specialist required
Anyone can use
Rural availability
Limited
Full access
Accuracy
~80%
96%
Market Size
$6–8B
Initial target market (oncology clinics & follow-up centers, 3–5 year window)
SAM
$14–16B
Rapid blood-based breast cancer diagnostics — point-of-care monitoring & early detection
TAM
Global
Global breast cancer diagnostics market — monitoring, screening, and imaging combined
Funding Ask
₹25L
Seed round for clinical validation, prototype refinement, and regulatory approvals
Join the Mission

Redefine the
Future of
Cancer Detection

Partner with us, invest in the mission, or deploy OncoTest at your facility. Early action is life.

✉hello@cogmindlabs.com
📞+91 96545 40332
📞+91 97112 19490

Ready to make an
impact together?

Whether you're an investor, hospital administrator, NGO partner, or potential team member — we want to hear from you. Help us bring OncoTest to every corner of India and beyond.

Investors

We are raising ₹25 Lakh seed round for clinical trials, regulatory approvals, and initial commercialization.

Hospital Partners

Be among the first facilities to deploy OncoTest in your diagnostic workflow.

Research Collaborators

Partner with our scientific team to validate and expand our AI detection models.