Invicro’s Analysis team develops robust algorithms and pipelines to solve complex image science problems. Machine learning and deep learning are two powerful tools routinely used to drive these solutions. These methods are coupled with Invicro’s deep scientific domain knowledge expertise to produce unique, custom solutions to a variety of tasks, spanning therapeutic area and modality.
Our analysis team of over fifty image processing scientists, including more than twenty PhDs, is responsible for extracting scientific quantitative data in support of Invicro’s studies from discovery through late-phase clinical. We blend cutting edge image science with proven image engineering capabilities to continually create novel algorithms and analysis pipelines while also developing those methods into robust, efficient automated tools.
We support a wide range of quantitative tasks, including quantitative metrics as well as other classification, automation, visualization, segmentation, and software deployment.Execution of these tasks is considered as a function of the trial phase, subjects and species of interest, imaging modalities, and therapeutic areas and utilizes or develops the tools needed to support these tasks.
|Quantitation||Discovery||Human||PET / SPECT||Neurology||Image Processing|
|Classification||Translational||NHP||MRI / MRS||Oncology||Modeling|
|Estimation||Early (0, 1, 2)||Sheep/Pig||CT / uCT||Cardio||Machine Learning|
|Automation||Late (2, 3, 4)||Dog/Cat||BLI / Epi-FL / CFT||Pulmonary||Simulation|
|Visualization||Rabbit/Rat||IHC / fIHC / PID||Musculo-Skeletal||Registration|
|Segmentation||Mouse||CIQA / ARG / MARG||Infectious Disease||Filtering|
Machine learning and deep learning are two powerful tools routinely used to drive solutions that solve complex image science problems. Our deep scientific domain knowledge expertise combined with machine learning and deep learning allow Invicro to produce unique, custom solutions tailored to a variety of tasks.
Invicro has applied machine learning and deep learning methods to projects in several therapeutic areas, including oncology, neurology, pulmonary and gastrointestinal. These projects have spanned numerous imaging modalities, including MRI, PET, IHC, CT, X-ray, and VCE, and have been in support of aims from basic discovery research through late-phase clinical application.
By continuously building upon our team’s broad range of skill sets and experience, new problems may be addressed using pre-existing trained networks through creation of de novo analysis pipelines or via a combination of existing architecture and study-specific feature extraction.