We have partnered with a leading Health Tech firm to increase the speed and accuracy of cancer diagnosis using AI/ML – reducing pathologist efforts by ~30% per report

We trained a computer vision based deep learning model to categorise pathology image tiles as either benign or malignant

What we were solving for

Timely and accurate diagnosis: Manual processes are contingent on availability of experienced resources, and carry a risk of error resulting in misdiagnosis

Expediting R&D initiatives: AI/ML solutions can process and analyse large volumes of data in real-time, with advanced predictive analytics and scenario-based testing

OptiSol solution

We used automated image processing techniques to identify histology images based on texture, spectral, and structural features such as shape index, compactness, elliptic fit and distance of the nucle

Found the optical density format and obtained the stain vectors and intensity for the stains involved such as, Hematoxylin, Eosin and Residual

Automated analysis of terabytes of data

Vision Intelligence models increase efficiency and improve success for bio-marker development that can be used in new drug discovery and treatment

What our Clients say

"They are very responsive and able to shift focus quickly as we have needed it for business reasons."

"They [OptiSol Business Solutions] have been very friendly and they kept up with the work. They did the job as we had discussed and as everything was arranged."

“I can't speak enough about how pleased I am with their process; it was seamless and efficient.”

"What impressed me the most was their willingness to go above and beyond what was asked."

"We're constantly impressed with their speed and quality of the development that they achieve on a consistent basis."

The best part about working with OptiSol Business Solutions is their commitment to being readily available to their partners. They’re even willing to work into late hours of the night depending on time differences. The solution they produced has already doubled efficiency levels.