3 papers
q-bio.QM2026
Iterative AI-guided optimisation of selective triple-drug combinations for breast cancer
Oghenejokpeme Orhobor, Abbi Abdel-Rehim, Emma Tate +5
Personalised cancer therapy aims to tailor treatment to individual tumour profiles, yet tumour heterogeneity and adaptive resistance continue to limit clinical efficacy. Drug combi…
q-bio.BM2024
Personalised Medicine: Establishing predictive machine learning models for drug responses in patient derived cell culture
Abbi Abdel-Rehim, Oghenejokpeme Orhobor, Gareth Griffiths +2
The concept of personalised medicine in cancer therapy is becoming increasingly important. There already exist drugs administered specifically for patients with tumours presenting…
q-bio.BM2023
Extension of Transformational Machine Learning: Classification Problems
Adnan Mahmud, Oghenejokpeme Orhobor, Ross D. King
This study explores the application and performance of Transformational Machine Learning (TML) in drug discovery. TML, a meta learning algorithm, excels in exploiting common attrib…