2 publications

• Published Subscription Review Article 20 Jan 2025

  Artificial Intelligence in Pharmacovigilance: Improving Drug Safety

  By Mohd. Wasiullah, Piyush Yadav, Satish Kumar Yadav, Rishabh Chauhan

  Abstract: Artificial intelligence (AI) is revolutionizing pharmacovigilance (PV) by enhancing the detection, assessment, and prevention of adverse drug reactions (ADRs). This review examines how AI technologies – such as machine learning (ML), natural language processing (NLP), and big data analytics – tackle existing challenges in pharmacovigilance (PV), including issues like underreporting, large data volumes, and inefficiencies in data processing. AI improves drug safety by automating data collection, enabling real-time adverse event …

  Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 1–16 Read article →

• Published Subscription Review Article 16 Aug 2024

  Computer-Aided Drug Design on Tuberculosis

  By Mohd Wasiullah, Piyush Yadav, Harsh Sahu, Satish Kumar Yadav, Vinay Kumar Deepak

  Abstract: Currently, India's Directly Observed Treatment Short Course (DOTS) program is the world's largest and fastest-growing initiative for treating medical patients, second only in terms of population coverage. The main obstacles to TB control in India are inadequate primary healthcare in rural regions of many states, unregulated private treatments resulting in extensive misuse of first- and second-line TB medications, the spread of HIV, a lack of political commitment, and, most importantly, …

  Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 2, 2024 · pp. 22–31 Read article →