Encourages students to explore new ideas.
Makes even hard topics easy to grasp.
Brings real-world examples to learning.
Helps students develop critical skills.
Fosters collaboration and teamwork.
Dr. Natansh Deepak Modi is a Lecturer in Pharmacy at Adelaide University’s School of Pharmacy and Biomedical Sciences, College of Health. As a registered pharmacist with clinical experience emphasizing communication, patient-centred care, and ethical pharmaceutical practice, he holds a Doctor of Philosophy from Flinders University, a Bachelor of Pharmacy (Honours) from the University of South Australia, and a Bachelor of Pharmaceutical Science from the University of South Australia. He teaches and coordinates key courses including Health Professional Essentials (PHAR 1008) and Pharmacology C (PHAR 2022), equipping students with essential skills for healthcare practice.
Dr. Modi’s research focuses on transparency and accessibility in clinical trials, particularly oncology, advocating for data sharing to achieve equitable patient outcomes and inform treatment decisions, especially for underrepresented populations. His specializations include oncology and carcinogenesis, artificial intelligence, biostatistics, public health, and epidemiology. Notable publications include Chhetri et al. (2026), “Sex-based prognosis in industry-sponsored advanced solid tumour trials,” Journal of the National Cancer Institute, revealing women’s 21% lower death risk but 12% higher severe toxicity; Menz et al. (2026), “Vision-Enabled AI scribes reduce omissions in clinical conversations,” npj Digital Medicine; Modi et al. (2025), “The state of individual participant data sharing for the highest-revenue medicines,” Clinical Trials; and Menz et al. (2025), “Generative AI Chatbots for Reliable Cancer Information,” European Journal of Cancer. He serves as Executive Director of the Clinical Oncology Society of Australia’s Epidemiology Committee and reviews for major medical journals. In 2026, he received the Fulbright Postdoctoral Scholar award to conduct research at Yale University on scalable data-sharing frameworks. His contributions advance evidence-based equity in clinical judgment and reduce waste in oncology research.
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