Accenius is an AI and Data science Biotechnology Company and we are reimagining the future of medicine. Quantum – AI and machines will be able to inform regularity and therapeutic decision making regarding candidate drugs and their indications to help bring new medicines to the right patients faster than it is being done today.

Our approach

Building the future of medicine together.

For us, it’s not so much about developing new drugs, but more about making existing drugs more effective.

We are using AI in a compressive approach for drug efficacy and new drug discoveries.

Personalized medicine

 This harnesses a patient’s own data to individualize their care, from diagnosis through treatment selection and monitoring.

Individualizing patient treatment is a core objective of the medical field. Achieving this objective has been elusive owing to the complex set of factors contributing to both disease and health. Many factors, from genes to proteins, remain unknown in their role in human physiology. Big data analytics and artificial intelligence has shown promise in addressing this problem due to their capability to extract insights from large datasets.

Our Values

Patient centered: A bridge to discovery and recovery
Integrity: Data science governed by the highest ethical standards.

Innovation: Utilizing the most current research and technological trends to derive value.

Technology: Revolutionizing precision medicine development, to offer help for today and hope for the future.

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genOMICs
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epigenOMICs
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transcriptOMICs
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proteOMICs
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metabolOMICs

Our Focus

At Accenius, we are focusing efforts on key immuno-oncology therapeutic areas where we have identified patient precision treatments and new drug discovery pathways that show promise within our AI data science framework pipeline of solid tumors.

We are furthering these efforts in other therapies such as Infectious diseases, and neuroscience. Genome engineering, such as CAR- T Cell and gene therapy, and beyond.

Our Science

01 Engineering
02 OMICs
03 Models
04 Design