MUMBAI, India, June 24 -- Intellectual Property India has published a patent application (202441096783 A) filed by Acs College Of Engineering on December 07, 2024, for Ai-Assisted Prediction And Classification Of Lung Cancer.

Inventors include Dr. Ashok Kumar P S; Prof. Charan M S; Prof. Thamarai Selvi V; Prof. S Varshini; Prof. Supriya R; Prof. M Vani; Prof. Roopa C N; Prof. Krishnamurthy H; Prof. Laxmikantha K; Dr. Thirte Gowda M T; and Prof. Kushal Kumar B N.

The application for the patent was published on June 12, 2026, under issue no. 24/2026.

Abstract: Due to their defaced immune systems, lung cancer patients are specifically highly sensitive to cold and are more susceptible to it for all related effects. The diagnosis, treatment and aftercare of lung cancer patients are exceptionally challenging and time-consuming during an epidemic due to mass factors. In this condition, the care of lung cancer doctors and healthcare consultants must use cutting-edge technologies to offers the potential diagnosis, treatment, and advancements approaches using artificial intelligence (AI) and machine learning (ML) algorithms. In the initial stage itself doctors are finding very difficult to classify the nature of the lung nodule, that could be cancers or not, but using therapeutic and imaging reports as well as other AI and ML techniques, doctors can predict and classify the cancers cell in early stage. AI ensures an appropriate individuals to be enrolled in to lung clinical research to be more effective and rapid manner than compare to the past screening of lung cancer patients, even though, when it was done in a conventional and time-consuming manner. Effective treatment to cancer patients and finding the new as well as further potent treatment could be very critical enough to move from the past traditional approaches, but it could be mimic by using an artificial intelligence and machine learning (AIML) classifications. If we applied the technique to various lung disease patient population, an AI powered algorithms are rapidly identifying the lung cancer symptoms effectively with COVID-19-related pneumonia and it could be precisely distinguish a pneumonia or non- COVID related pneumonia patient, which is a significant technique of an AI.

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