Accelerating Precision Oncology

With the power of data and AI to make effective treatment decisions.

Empowering Precision Oncology through Dynamic Data Analytics.

Identify target drugs for advanced cancers through comprehensive tumor genomics.

Liquid biopsy (blood) work-up for scenarios where tissue biopsy is unavailable.

Blood-based monitoring to evaluate cancer progression and response to treatment.

Clinically correlated and well-referenced dynamic lab report for better cancer care

AI-powered digital pathology to enhance treatment decisions and reduce turnaround time

Multi-omics on single CTCs to predict tumor behaviour and risk of recurrence 

Redefining the Future of Precision Oncology

Incredible Technology backed by Incredible Science

Our Precision Oncology Platform.
Pioneering the future of cancer care with the power of AI / ML and data.

A revolutionary informatics platform offering an integrated ecosystem for managing data-intensive and biomarker-rich precision medicine clinical trial.

  • Real-time data access with Open API

  • Rapid Translation of Biological Data

  • Cross Study Profiling and Interrogation

  • Data-Driven Patient Stratification

  • High security with advanced encryption

  • Improved Patient Outcome

Creating a 360º impact!

OneCell Diagnostics

Now experience the future of data-driven cancer care with OneCell Diagnostics - the world's only clinical laboratory to unite tumor genomics, CTC analytics, single-cell multi-omics, AI, and dynamic data analytics in digital molecular pathology, providing a truly comprehensive approach to precision oncology.

OneCell’s publications and presentations have been widely acclaimed across world’s leading oncology platforms.

Our Science

Lab on Chip

Smriti Arora, Alain D'Souza, Gourishankar Aland, Narendra Kale, Bhagwat Jadhav, Trupti Kad, Pankaj Chaturvedi, Balram Singh, Jayant Khandare. Antibody mediated cotton-archetypal substrate for enumeration of circulating tumor cells and chemotherapy outcome in 3D tumors. Lab on a Chip; 2022; 22 (8); 1519-1530

Journal of Clinical Oncology

Gowhar Shafi, Shivamurthy P M, Anand Ulle, Krithika Srinivasan, Aravindan Vasudevan, Vikas Jadhav, Dr Sujit Joshi, Nirmal Vivek Raut, Jayant Khandare, Mohan Uttarwar, Kenneth Joel Bloom. AI-enabled identification prediction of homologous recombination deficiency (HRD) from histopathology images. Journal of Clinical Oncology; 2022; 40; 3019-3019.

Strategic Partnerships to provide the best-in-class.
Our prominent partners from both academia and industries:


Some of our esteemed clients:

For partnership and product enquiries please reach out us. Click here.

“The team at OneCell made the entire experience very smooth and positive. Their results are accurate and on time. I highly recommend OneCell Diagnostics to anyone facing cancer.”

— Mrs Meena Khullar, Delhi