Company Overview
Neosoma's mission is to transform brain cancer care through advanced, deep-learning-based tumor analytics.
Neosoma was founded in 2019 by neuro-oncologists, software veterans, and AI experts to solve fundamental problems in brain cancer care.
Brain cancer is a complex disease state, requiring a team of physicians across disciplines to determine the best course of treatment and continually monitor tumor response.
However, physicians do not have the right, critical information to make timely and confident treatment decisions, causing treatment changes and delays, wasted time and money, and unnecessary interventions, all of which lead to poor patient outcomes.
Neosoma solves these issues by providing neuro-oncology cancer teams and clinical trial sponsors with critical disease insights they do not have today.
By focusing on first releasing into clinical practice a high-grade glioma tumor analysis module that is delivered through a highly-interoperable software platform used by the entire neuro-oncology department, Neosoma delivers immediate, critical value for treating teams and patients alike.
Our near-term product pipeline includes multiple additional tumor analysis modules for low-grade gliomas and brain metastases, along with advanced radiogenomics modules that are the subject of several pending grant applications and a provisional patent application, all delivered through scalable, centralized cloud architecture.
We have conducted extensive market research with neuro-oncology teams at sites across the US; our first product has been validated by UCLA's Brain Tumor Imaging Lab and is being used in three active clinical trials. We have filed a patent application for our core deep learning workflow technology; and we are targeting a near-term 510(k) filing with FDA, ready to begin commercialization in the US soon after, while advancing development of our pipeline.
Our goal is to become the clinical standard neuro-oncology care management platform, improving quality and efficiency of clinical decisions, clinical trials, and, most importantly, patient outcomes.