Artificial intelligence for small molecule anticancer drug discovery
Introduction The transition from conventional cytotoxic chemotherapy to targeted cancer
therapy with small-molecule anticancer drugs has enhanced treatment outcomes. This …
therapy with small-molecule anticancer drugs has enhanced treatment outcomes. This …
Exploring the Promise and Challenges of Artificial Intelligence in Biomedical Research and Clinical Practice
R Altara, CJ Basson, G Biondi-Zoccai… - Journal of …, 2022 - journals.lww.com
Artificial intelligence (AI) is poised to revolutionize how science, and biomedical research in
particular, are done. With AI, problem solving and complex tasks using massive data sets …
particular, are done. With AI, problem solving and complex tasks using massive data sets …
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling
Machine learning in computational pathology (CPath) often aggregates patch-level
predictions from multi-gigapixel Whole Slide Images (WSIs) to generate WSI-level prediction …
predictions from multi-gigapixel Whole Slide Images (WSIs) to generate WSI-level prediction …
A Deep Learning Framework for Predicting Prognostically Relevant Consensus Molecular Subtypes in HPV-Positive Cervical Squamous Cell Carcinoma from Routine …
Despite efforts in human papillomavirus (HPV) prevention and screening, cervical cancer
remains the fourth most prevalent cancer among women globally. In this study, we propose …
remains the fourth most prevalent cancer among women globally. In this study, we propose …