Oncology: AI, Genomics, and Targeted Therapies

Aljohara Aljahdali Profile

Aljohara Aljahdali

Aljohara Aljahdali

Biography

Aljohara Hani Aljahdali is a talented and motivated young Saudi student from Jeddah, currently studying in Grade 9 at Mawhiba Schools. As a participant in the prestigious Mawhiba Program for Gifted Students, she has demonstrated exceptional academic performance, creativity, and scientific curiosity. Her interests span science, innovation, technology, and environmental awareness. Aljohara is passionate about contributing to scientific advancement through creativity, continuous learning, and innovative thinking.

Research Interest

Science and innovation, technology development, environmental awareness, and creative exploration in scientific fields - with a strong curiosity for advancing knowledge through experimentation, creativity, and problem-solving.

Abstract

AI and Genomics in Drug Discovery Accelerating Cancer Treatment Development . Traditional methods in drug discovery are often slow, costly, and require years of experimentation. Artificial intelligence (AI) especially Deep Reinforcement Learning (DRL), offers a data driven approach that can accelerate this process by learning effective strategies directly from complex biological data. DRL s ability to adapt and improve decision making in dynamic environments makes it suitable for addressing challenges like drug resistance caused by tumour mutations. Therefore, the research question this study focuses on is: How can deep reinforcement learning be used to generate novel drug like molecules targeting EGFR for effective personalized cancer treatment?. In this study we are targeting Epidermal Growth Factor Receptor (EGFR). EGFR is a key cancer target in lung, breast, and colorectal cancers.