Intellectual Property India Publishes Patent Application for Deep Learning And Nanotechnology-Based System And Method For Evaluating And Managing Topical Cream Formulations For Superficial Nodal Manifestations Associated With Hematological Malignancies

MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641095045 A) filed by Dr. S. Beer Mohamed; Mrs. L. Sarojini; Dr. C. A. Subasini; K. Padmavathy; B. Priyanga; K. Ramathilagam; Dr. M. Anusuya; S Diwakar; and Dr. R. Ramkumar on August 05, 2026, for Deep Learning And Nanotechnology-Based System And Method For Evaluating And Managing Topical Cream Formulations For Superficial Nodal Manifestations Associated With Hematological Malignancies.

Inventors include Dr. S. Beer Mohamed; Mrs. L. Sarojini; Dr. C. A. Subasini; K. Padmavathy; B. Priyanga; K. Ramathilagam; Dr. M. Anusuya; S Diwakar; and Dr. R. Ramkumar.

The application for the patent was published on August 14, 2026, under issue no. 33/2026.

Abstract: [060] The present invention relates to a deep learning and nanotechnology-based system and method for evaluating topical cream formulations in relation to superficial nodal or cutaneous manifestations associated with hematological malignancies. The system comprises a nanostructured topical formulation, an image-acquisition module, an image-processing module, a deep learning module and a response-analysis module. The topical formulation may comprise an active pharmaceutical or bioactive agent incorporated into nanoparticles, lipid nanoparticles, nanostructured lipid carriers, liposomes, polymeric nanocarriers, nanoemulsions, nanogels or combinations thereof. Sequential images of a target region are acquired using a standardized imaging protocol and processed to identify lesion boundaries and image- derived parameters including area, shape, texture, apparent color distribution and temporal morphological changes. A deep learning model analyzes the processed images and generates a quantitative response profile. Formulation characteristics including particle size, surface charge, encapsulation efficiency, active-agent concentration, viscosity and release characteristics may be correlated with the image-derived response profile to facilitate formulation screening and optimization. The system may further provide longitudinal monitoring and safety-alert functionality with human oversight. The invention provides an integrated computational and nanotechnology platform for objective evaluation and data-driven optimization of topical formulations and is intended to supplement, rather than replace, established diagnostic and medically supervised treatment procedures. Accompanied Drawing [FIGS. 1-2]

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