A mathematical model for IL-6-mediated, stem cell driven tumor growth and targeted treatment. - Fereshteh Nazari; Alexander T. Pearson; Jacques Eduardo Nör; Trachette L. Jackson (PLoS Comput. Biol., 2018)

COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity. - Vladimir Naumov; Evgeny Putin; Stefan Pushkov; Ekaterina Kozlova; Konstantin Romantsov; Alexander A. Kalashnikov; Fedor Galkin; Nina Tihonova; Anastasia Shneyderman; Egor Galkin; Arsenii Zinkevich; Stephanie M. Cope; et al. (PLoS Comput. Biol., 2021)

Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology. - James M. Dolezal; Andrew Srisuwananukorn; Dmitry Karpeyev; Siddhi Ramesh; Sara Kochanny; Brittany Cody; Aaron Mansfield; Sagar Rakshit; Radhika Bansa; Melanie Bois; Aaron O. Bungum; Jefree J. Schulte; et al. (CoRR, 2022)

Deep Learning Generates Synthetic Cancer Histology for Explainability and Education. - James M. Dolezal; Rachelle Wolk; Hanna M. Hieromnimon; Frederick M. Howard; Andrew Srisuwananukorn; Dmitry Karpeyev; Siddhi Ramesh; Sara Kochanny; Jung Woo Kwon; Meghana Agni; Richard C. Simon; Chandni Desai; et al. (CoRR, 2022)

Classical mathematical models for prediction of response to chemotherapy and immunotherapy. - Narmin Ghaffari Laleh; Chiara Maria Lavinia Loeffler; Julia Grajek; Katerina Stanková; Alexander T. Pearson; Hannah Sophie Muti; Christian Trautwein; Heiko Enderling; Jan Poleszczuk; Jakob Nikolas Kather (PLoS Comput. Biol., 2022)

Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization. - James M. Dolezal; Sara Kochanny; Emma C. Dyer; Andrew Srisuwananukorn; Matteo Sacco; Frederick M. Howard; Anran Li 007; Prajval Mohan; Alexander T. Pearson (CoRR, 2023)

Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. - Catherine A. Gao; Frederick M. Howard; Nikolay S. Markov; Emma C. Dyer; Siddhi Ramesh; Yuan Luo 001; Alexander T. Pearson (npj Digit. Medicine, 2023)

Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance. - Jan Moritz Niehues; Gustav Müller-Franzes; Yoni Schirris; Sophia J. Wagner; Michael Jendrusch; Matthias Kloor; Alexander T. Pearson; Hannah Sophie Muti; Katherine Jane Hewitt; Gregory Patrick Veldhuizen; Laura Zigutyte; Daniel Truhn; et al. (Comput. Biol. Medicine, 2024)

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization. - James M. Dolezal; Sara Kochanny; Emma C. Dyer; Siddhi Ramesh; Andrew Srisuwananukorn; Matteo Sacco; Frederick M. Howard; Anran Li 007; Prajval Mohan; Alexander T. Pearson (BMC Bioinform., 2024)