This inventor holds 1 USPTO granted patent. Top assignees: Pathnova Laboratories Pte Ltd, Temasek Life Sicences Laboratory Limited. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Sudipta Samanta: Innovator in Automated Disease Detection
Introduction
Sudipta Samanta is a notable inventor based in Singapore, recognized for his contributions to the field of automated disease detection. His innovative approach leverages advanced technologies to enhance the accuracy and efficiency of medical diagnostics.
Latest Patents
Sudipta holds a patent for an "Automated Disease Detection System." This invention relates to a computer-implemented method for detecting diseases such as nasopharyngeal cancer (NPC). The system utilizes either a Fuzzy Inference (FI) system or a deep learning-fuzzy inference (DeLFI) hybrid model to analyze immunofluorescence assay (IFA) images. For NPC detection, the invention distinguishes between Epstein Barr Virus (EBV) Early Antigen (EA) positive and negative cells, identifying cellular patterns indicative of NPC. The DeLFI hybrid model minimizes the need for human evaluation, thereby improving the scalability and accuracy of NPC detection. Sudipta has 1 patent to his name.
Career Highlights
Throughout his career, Sudipta has worked with esteemed organizations such as Temasek Life Sciences Laboratory Limited and Pathnova Laboratories Pte Ltd. His experience in these institutions has significantly contributed to his expertise in the field of disease detection.
Collaborations
Sudipta has collaborated with notable colleagues, including Muthukaruppan Swaminathan and Jianing Hu, who is a woman. These collaborations have further enriched his research and development efforts.
Conclusion
Sudipta Samanta's innovative work in automated disease detection exemplifies the potential of technology in transforming medical diagnostics. His contributions are paving the way for more accurate and efficient disease detection methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile