AI-POWERED CLINICAL DECISION SUPPORT · COMING SOON

Redefining cancer treatment with AI and genomic data

A cloud-based decision support platform, trained on the clinical reasoning of our molecular tumor board, that turns comprehensive genomic profiling data and the latest literature into personalized treatment paths within minutes.

MDTMDT Precision
PREVIEW
Case #2043 · Lung adenocarcinoma · Stage 4 · CGP report uploaded
DETECTED VARIANTS
EGFR · L858RTARGETABLE
TP53 · R273HPASSENGER
MET · AmplificationMONITOR
AI DECISION SUPPORT
OsimertinibEvidence level 1A
Targeted therapy for activating EGFR mutation · 142 publications scanned
Model confidence 91%Board reasoning · 38 s
See the beta program
Trained on 2,500+ real patient recordsEvidence-based targeted recommendations
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Real-world patient genomic data
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Genes analyzed in comprehensive genomic profiling
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Years of accumulated oncology experience
Minutes
Compresses days of analysis and literature review
PROBLEM

Interpreting complex genomic data clinically

The frontier of cancer treatment is reading each tumor's genetic map to design individualized therapy. But making sense of this data requires continuously tracking rapidly evolving literature and deep molecular oncology expertise.

SOLUTION

Your digital decision support assistant: MDT Precision

Within MDT Molecular Decision Technologies Inc.: a cloud-based clinical decision support system trained on the real-world genomic data of more than 2,500 patients and expert curation reports. When an oncologist uploads a test result, our AI scans the literature and offers targeted alternatives with algorithms that predict treatment response and recurrence risk.

TECHNOLOGY & R&D

How do we train our AI?

We are not building an ordinary search engine. The platform is woven thread by thread with our expertise in bioinformatics, computational biology and precision oncology.

Real clinical data (Data Moat)

The model is trained on the genomic variants, applied treatments and clinical responses of 2,500+ patients treated at our center.

Clinical reasoning (Reasoning)

It learns the methodology our PhD-level molecular cancer biologists use to interpret data, identify active pathways and make decisions.

Smart literature review

A cloud-based infrastructure that analyzes scientific publications with advanced language models to offer clinicians evidence-based targeted treatment alternatives.

HOW IT WORKS

From report to treatment path, in three steps

01

Upload the genomic report

Comprehensive genomic profiling (CGP) or liquid biopsy test results are uploaded to a secure cloud infrastructure.

02

AI analyzes

Variants are interpreted, active pathways are identified, relevant literature is scanned, and treatment response & recurrence risk are predicted.

03

Board-quality report

Targeted treatment alternatives, generated with molecular tumor board logic and justified with evidence levels, are presented.

CLOSED BETA · ONCOLOGIST INVITATION

Let's train the model together. Early access is free for our oncologists.

We invite selected oncology specialists to voluntarily try MDT Precision in their clinical practice and share feedback. Your feedback makes our model stronger and more accurate — at the start of this partnership we offer early access free of charge.

  • Free early access
    Full access to the platform throughout the pilot period.
  • Direct product impact
    Your feedback shapes the roadmap and the model.
  • Board-quality second opinion
    Fast, evidence-based support on your cases.
TEAM

At the intersection of science, medicine and technology

Behind the project stands a multidisciplinary, powerful brain trust.

Our core team & experts

Our multidisciplinary R&D team spans software engineering, bioinformatics, data science, cancer genetics and molecular cancer biology — each contributing equally to the project.

Dr. Ebru Gül Karakoç
Analysis & Testing Specialist
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İrem Demiray
Bioinformatics Specialist
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Murat Demir
Software Engineer
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Ashkan Adibi
Cancer Genetics Specialist
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Alina Melisa Manea
Molecular Biology & Genetics
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Esranur Aydın
Molecular Biology & Genetics
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Eylül Özgü
Molecular Biology & Genetics
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Şevval Nur Bilgiç
Molecular Biology & Genetics
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Ünal Metin Tokat
Molecular Biology & Genetics
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INVESTOR RELATIONS & VISION

Becoming the global decision standard in genomics-based cancer treatment

Through our R&D within Teknopol İstanbul, our goal is to build an exportable, high-value healthcare technology platform.

Target audience & market

Private hospital chains, university hospitals, molecular diagnostics laboratories and independent oncologists who want to practice personalized oncology.

Business model

A subscription-based B2B SaaS licensing model. A cloud-based, scalable platform addressing oncology specialists worldwide who use comprehensive genomic profiling.

Sustainable competitive advantage (Moat)

The biggest barrier in healthcare AI is the lack of "validated, high-quality clinical data." Our platform's greatest differentiator is that it was trained not merely as a rule-based engine from scratch, but on the CGP results of 2,500+ real patients, expert curation reports and personally validated treatment follow-ups. This creates a hard-to-imitate clinical moat and global commercial potential.

Collaboration & infrastructure

Teknopol Technopark
Our R&D activities continue within Teknopol Technopark.
Powered by AWS
Our cloud infrastructure runs securely and scalably on Amazon Web Services.