MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122960 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 5, 2025, for 'hybrid machine learning system for sickle cell disease detection.'
Inventor(s) include Dr. Arumuga Arun R; Dr. Karthik K; Mr. Cherukuri Krishna Lathvik; Anna V Hemanadh; and Metta Manikanta Karthikeya Reddy.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a hybrid machine learning system for automated sickle cell disease detection. The system includes a preprocessing module configured to receive peripheral blood smear images and perform standardization operations including resizing, normalization, and noise reduction to prepare the images for analysis. A feature extraction module includes multiple convolutional neural network architectures configured to extract hierarchical features from the preprocessed images. A knowledge distillation module transfers learned representations from teacher convolutional neural network models to lightweight student convolutional neural network models by generating soft labels from the teacher models and training the student models using a combination of the soft labels and hard labels. A hybrid classification module includes traditional machine learning classifiers configured to receive feature vectors from the student models and perform classification. A prediction output module generates a classification result indicating presence or absence of sickle cell disease."
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