1 publication

• Published Subscription Review Article 27 Aug 2026

  Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning

  By Amish Mishra, Anshika Singh, Ahmar Hassan, Yukti Sabikhi, Sanya Kaushik, Mohammad “Sufian” Badar

  Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …

  Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article →