AI Solution for Healthcare Industry | WSI Restitching & Histology Image Processing

Business Impact

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In recent years, the application of deep learning techniques in biomedical research has seen a spike, especially with data analysis

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According to Markets and Markets research report, the use of AI in Healthcare market is estimated to reach USD 67.4 billion by 2027; it is projected to grow at a CAGR of 46.2% during 2021 – 2027.

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A leading provider of digital health in precision medicine are involved in the discovery of new drugs and treatment possibilities by applying the Bio-AI artificial intelligence model and dealing with histology images to predict the pharmacological activities of drug candidates.

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With multi-drug therapy being a mainstay, they hope to benefit pharmaceutical companies, patients, and society at large with scalable and cost-effective solutions.

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To help in their research, OptiSol built a computer vision- based model that automates segregation of images based on anomalies and structural features, making image analysis easily.

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This method could be useful for analysing the massive amounts of histology images by eliminating the time-consuming and tedious process of manual image analysis.

Technology Stack

Solution Overview

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Automating and accelerating the discovery of new drugs and treatment possibilities. With help of Bio–AI artificial intelligence helps to benefit pharmaceutical companies, patients, and society at large with scalable and cost-effective solutions.

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Data Integration is an open platform that integrates multiple datatypes which helps to increase the efficiency of analysis and improves success for biomarker development.

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Deals with histology images where the texture, spectral and structural features such as the nucleus are identified with the help of Image processing.

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The structural features such as shape index, compactness, elliptic fit, distance, etc. of the nucleus.

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The spectral features involve finding out the optical density format of the given images and obtaining the stain vectors and intensity for the stains involved in the histology images such as Hematoxylin, Eosin, and Residual.

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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40+

AI & ML
Projects for
reputed Clients

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5yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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