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AI-Powered Single Cell Classification

Overview

Every human cell carries crucial biological information that determines its function, behavior, and role in health and disease. However, identifying individual cell differences in microscope images remains a challenge. Traditional methods analyze images at a broader level, often grouping multiple cells together, which limits precision.

To overcome this, we developed an AI-powered model that can precisely segment and classify each individual cell, ensuring that every detected cell is correctly assigned a protein location label.

Award-Winning AI Innovation

Won Silver at Kaggle’s Human Protein Atlas Challenge
Award-Winning AI Innovation

Key Features

AI-Powered Segmentation
AI-Powered Segmentation

Each cell is isolated using an advanced segmentation model, eliminating the problem of collective labeling

Deep Learning Classification
Deep Learning Classification

EfficientNet on GPUs enables precise feature extraction and classification.

Self-Learning via Noisy Student
Self-Learning via Noisy Student

The model refines its accuracy by learning from variations of labeled data.

Benefits

Unmatched Precision

  • Classifies each cell based on its actual characteristics, avoiding image-level generalizations.

Accelerates Disease Research

  • Enables scientists to link protein patterns to diseases faster and with greater accuracy.

Revolutionizes AI-Assisted Pathology

  • Helps automate cell classification, reducing human error and improving diagnostic speed.

Areas of Application

Clinical Diagnostics

Clinical
Diagnostics

  • Empowering pathology labs with precise cellular-level analysis for better disease management.
Personalized Medicine

Personalized
Medicine

  • Informing targeted treatment strategies through detailed protein mapping in patient cells.
Pharmaceutical R&D

Pharmaceutical
R&D

  • Accelerating the identification and validation of drug targets through high-resolution imaging analysis.
Biomedical Research

Biomedical
Research

  • Advancing our understanding of cellular behavior and interactions in health and disease.

Why GS Lab | GAVS?

Deep Domain Understanding
Decades of experience across healthcare ecosystems, from providers to payers, inform every solution we build.
AI-First Approach
We embed intelligence at the core—leveraging GenAI, ML, and automation to drive better outcomes.
Engineering Mindset
Solving complex challenges at the core with scalable, future-ready solutions.
Engineer, Modernize, and Operate Partner
We co-create, modernize, and run mission-critical healthcare systems with lasting impact all under one roof.
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