SimBioSys – Simulations evolving healthcare

Empowering Precision Cancer Care

SimBioSys is a technology company on a mission to deploy Computational Oncology to transform decision making and patient experience in Cancer Care. By virtualizing cancer, clinicians and patients are empowered with a better understanding of the disease and can assess all available options computationally to truly individualize treatment.

NO TWO TUMORS ARE THE SAME...

Two patients who are exactly the same on paper, may respond differently to the same therapy.

THE GOOD:
New targeted drugs and therapies are becoming available to treat the disease.

THE BAD:
Treatment response varies significantly by patient leading to suboptimal outcomes, avoidable sided effects and costs.

The causes are scientifically known, but are not effectively leveraged in clinical decision making…

Empowered with a comprehensive understanding of a tumor and it’s response to different therapies, patient specific decisions can be made to improve outcomes and eliminate waste.

SOLVING THE CANCER PUZZLE

Bringing Data & Science Together

Our comprehensive scientific model is fed by data collected upon diagnosis to standardize use in decision making by creating a virtual tumor.

Creating a Virtual Laboratory for Clinicians

Our simulation engine gives clinicians the opportunity to assess drug efficacy with detailed and visual predictions of tumor response.

Transforming Patient Experience

With the patient in mind, we provide standardized patient reports and visualizations to help in the collaborative decision making process.

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TumorScope™ Breast

SimBioSys TumorScope™ currently aids the identification of the safest and most efficacious drug regimens for breast cancer patients.

It provides quantitative and qualitative analysis of a patient’s potential response to therapy, generated with a 3D computational model incorporating previously acquired diagnostic data.

MRIs, mammograms, histology, and genetic tests are used in the model to generate predictive metrics such as expected tumor volume, change in tumor volume %, PCR Score, and drug uptake score.
These metrics are used to support qualified physicians in evaluating the right regimen for a specific patient.
A tumor viewer is also made available for orientation purposes, and enables visualization of tumor response by both patient and clinician.

The results from TumorScope™ are intended to be used in conjunction with the oncologist’s professional judgment, patient’s clinical history, symptoms, and other diagnostic tests.

With hundreds of retrospective patients validated, our results speak for themselves – a 95% correlation between simulated final volume and actual clinical volume post-therapy.

The Future
TumorScope™ Brain

Please Stay Tuned

The Future
TumorScope™ Mouth/Throat

Please Stay Tuned

TumorScope™ Lung

SimBioSys is developing TumorScope™ Lung, with the goal of having a positive impact on quality of life, clinical decision-making, and healthcare costs associated with lung cancer.

Though lung cancer is the leading cause of cancer-related deaths worldwide, it is amongst the few solid tumors for which immunotherapeutics have shown great promise.

This problem will serve as a crucial test-bed for our upcoming work on immunotherapeutic modeling.

The structure of lung tissue is dissimilar to that of other tissues we have studied, as the lungs are highly vascularized, oxygenated, and composed of numerous branching sets of airways.

In the clinical setting, CT and PET scans are more commonly used for lung tumor diagnosis/evaluation than higher resolution MRI methods used for breast cancer.

These factors facilitate the need for accurate 3D models of the lung tumor microenvironment, and require nuanced optimization of our image analysis and segmentation methods.

The Future
TumorScope™ Bladder

Accounting for approximately 81,000 new cases in the US each year, bladder cancer is the sixth most-frequently diagnosed solid tumor.

The primary goal of neoadjuvant chemo for advanced bladder cancer is not to enable bladder-conserving treatment, but to downstage the tumor before radical cystectomy.

Bladder cancer staging is strongly dependent on the cancer’s invasion into the bladder wall and surrounding perivesical tissue.

Because of this, the SimBioSys TumorScope™ is poised to offer healthcare providers new methods to predict the degree of downstaging under different treatment regimens, and thereby optimize therapy for patients.

The Future
TumorScope™ Prostate

Affecting approximately 165,000 men in the United States each year, prostate cancers tend to occur in older men, and are often slow to progress.

As a result, management of the disease frequently includes watchful waiting and active surveillance.

SimBioSys TumorScope™ is capable of predicting tumor growth and progression, both with and without intervention.

There exists an obvious application in weighing the risks and benefits of less aggressive approaches to prostate cancer management.

The Future
TumorScope™ Ovary

The “silent killer”, early stage ovarian cancer often presents with symptoms similar to those of other common gynecological or gastroenterological issues.

Approximately 70% of epithelial ovarian cancers are not diagnosed until stage III or IV.

Ovarian cancer represents a natural next step for SimBioSys, allowing us to leverage the knowledge and modeling expertise we’ve accumulated.

This will allow us to target a cancer with high morbidity and mortality, for which neoadjuvant therapy is becoming an increasingly important option.

The Future
TumorScope™ Colon

Please Stay Tuned

The Future
TumorScope™ Skin

Please Stay Tuned

The Future
TumorScope™ Kidney

Please Stay Tuned

The Future
TumorScope™ Liver

Please Stay Tuned

The Future
TumorScope™ Uterus

Please Stay Tuned

The Future
TumorScope™ Thyroid

Please Stay Tuned

The Future
TumorScope™ Pancreas

Please Stay Tuned

The Future
TumorScope™ Esophagus

Please Stay Tuned

Tumor Microenvironment
Modeling

The tumor microenvironment is understood as a complex space where cancer cells adapt their metabolic behavior, competing and cooperating with nearby healthy cells in order to grow.

Understanding the complex ways in which cancer cells interact with other nearby cell types—competing for some resources, sharing others, and eliciting molecular signals that reshape their surroundings—is critical for understanding tumor progression and response to therapy.

SimBioSys TumorScope™ offers a computational window to these interactions, enabling patients and healthcare providers to explore how different treatment regimens can influence tumor response, and ultimately, patient survival.

Virtual Trials

The logistical and financial requirements of clinical drug trials are burdensome in the context of developing novel cancer therapeutics.

Additionally, there is inherent risk for the participants of these trials, both human and animal.

Building on the aforementioned technology, SimBioSys plans to create software to virtually test the efficacy of a drug on our library of patients.

The goal is to use this technology for planning and selecting the most appropriate cohorts, using computational methods, before a trial begins.

Additionally, this technology will be used for testing the effects of various forms of a drug on virtual patients, as opposed to humans or animals.

This technology will provide a deeper understanding of the mechanisms underlying treatment non-response, and will aid in drug development efforts.

Drug Delivery Modeling

After the SimBioSys platform has been extended to nearly the full range of solid mass tumors, pharmaceutical companies will be able to test their numerous therapies against a range of simulated tumors to discover new uses and delivery methods for drugs.

Studies show a salient relationship between sub-optimal drug delivery and acquired drug-resistance, leading to increased risk of mortality.

TumorScope™ provides an opportunity to reduce the likelihood of this occurrence.

Tushar Pandey
Chief Executive Officer
MBA University of Chicago, BS Engineering University of Illinois at Urbana-Champaign

With a passion to support the fight against cancer, Tushar’s focus is to ensure the company delivers on its mission to empower precision medicine. In his prior role as VP of Decision Support at Strata Decision Technology, he worked with over 150 health systems across the country including Kaiser Permanente, Cleveland Clinic, MD Anderson, Intermountain Healthcare, Dana Farber among others. Under his leadership, Strata Decision received the prestigious “Best in KLAS” recognition for five consecutive years. With over a decade of healthcare experience, Tushar has been one of the key thought leaders in the healthcare analytics and cost of care space.

Joseph R. Peterson
Co-Founder and Chief Technical Officer
PhD Chemistry University of Illinois at Urbana-Champaign

Driven by an interest in computing, Joseph’s 10 years of scientific research has spanned investigating combustion and explosion, to analyzing the role of the environment on microbes’ behavior, to examining individual differences in breast tumors. He is passionate about developing software for the health and scientific R&D sectors. His goal as Chief Technical Officer at SimBioSys, Inc. is not merely to develop enterprise technologies that enable new clinical action, but to foster lasting relationships between key players in cancer treatment.

John A. Cole, Jr.
Co-Founder and Chief Scientific Officer
PhD Physics University of Illinois at Urbana-Champaign

John is a biophysicist specializing in stochastic models and systems biology. Equally comfortable with pencil-and-paper mathematical modeling and high-performance computational simulation, John’s “whatever works” approach to problem solving and friendly, collaborative demeanor has allowed him to contribute significantly to a range of projects in basic science and health. As Chief Science Officer of SimBioSys, Inc., he is excited to extend this line of research to enable transformative cancer treatment.

Tyler Earnest
Director of Computational Medicine
PhD Physics University of Illinois at Urbana-Champaign

Tyler has a long history of mathematical modeling as applied to biological systems. He is also well-versed in software development, 3D visualization, and GPU programming as applied to computational biology. His primary focus is on conceiving, constructing, and validating new cancer and drug models.

Michael Hallock
Director of Technology Development
MS Bioinformatics University of Illinois Urbana-Champaign

Michael has more than 10 years of experience in the software development and information technology fields. He has extensive experience developing software for scientific computing, high performance computing, and cloud computing. He applies his extensive knowledge to work on advanced analytics software, focusing on back-end (database, server/client communication, database development, IT infrastructure, etc.) technologies, as well as working closely with full stack developers. Additionally, he will provide software support for scientific development.