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.QM2025
Advancing Drug Development Through Strategic Cell Line and Compound Selection Using Drug Response Profiles
Abbi Abdel-Rehim, Emma Tate, Larisa N. Soldatova +1
Early identification of sensitive cancer cell lines is essential for accelerating biomarker discovery and elucidating drug mechanism of action. Given the efficiency and low cost of…
q-bio.QM2025
Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment
Abbi Abdel-Rehim, Hector Zenil, Oghenejokpeme Orhobor +8
Large language models LLMs have transformed AI and achieved breakthrough performance on a wide range of tasks In science the most interesting application of LLMs is for hypothesis…