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Overcoming Barriers
to Precision Medicine

Sanicka is providing healthcare organizations with critical data to support patient-specific leukemia treatment.

Our Mission

We believe every cancer patient deserves precision medicine. Sanicka’s πChemo-Immuno Therapy (πCITTM) platform provides healthcare professionals with predictive precision medicine tools to improve patient outcomes. We are working to improve the patient experience through interactive visualization tools of dynamic treatment responses and outcomes.


πCIT™ is a clinical decision support tool for the selection and optimization of treatment for patients with acute myeloid leukemia

The core of the technology is a mechanistic/deterministic algorithm that uses patient- and tumor-specific data to simulate the response to different treatment alternatives, providing dynamic predictions of the tumor response and patient recovery prior, during and after therapy.

The Team
Sakis Mantalaris, PhD

Professor, BME (GTech/Emory)
Bioprocess Engineer

Nicki Panoskaltsis, MD PhD
Medical Director

Assoc Professor, HemOnc (Emory) Leukemia

Selected Publications
Personalized Model-based Optimization

Design of optimal patient-specific chemotherapy protocols for the treatment of acute myeloid leukemia (AML).

Computers & Chemical Engineering

Personalized Model-based Optimization

A personalized framework for dynamic modeling of disease trajectories in chronic lymphocytic leukemia.

IEEE Transactions on Biomedical Engineering

Population Balance Models

A mathematical model of subpopulation kinetics for the deconvolution of leukaemia heterogeneity.

Journal of the Royal Society

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