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ML and precision public health: Saving mothers and babies from dying in rural India

by Simona Gilman | May 11, 2020 | Articles, Causal, Journals

Kasey Morris, Vincent S. Huang, Mokshada Jain, B.M. Ramesh, Hannah Kemp, James Blanchard, Shajy Isac, Bidyut Sarkar, Vikas Gothalwal, Vasanthakumar Namasivayam, Sema Sgaier
Diabetes Therapy: Application of Machine Learning Models to Evaluate Hypoglycemia Risk in Type 2 Diabetes

Diabetes Therapy: Application of Machine Learning Models to Evaluate Hypoglycemia Risk in Type 2 Diabetes

by Caitlin Nicholson | Feb 24, 2020 | Articles, Cardiometabolic, Causal, Featured Posts, Journals

Luke Mueller, Paulos Berhanu, Jonathan Bouchard, Veronica Alas, Kenneth Elder, Ngoc Thai, Cody Hitchcock, Tiffany Hadzi, Iya Khalil, Lesley-Ann Miller-Wilson
Nature Leukemia: Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease

Nature Leukemia: Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease

by Simona Gilman | Feb 18, 2020 | Articles, Featured Posts, Oncology

Mike J. Mason  ● Carolina Schinke ● Christine L. P. Eng ● Fadi Towfic ● Fred Gruber ● Andrew Dervan ● Brian S. White ● Aditya Pratapa ● Yuanfang Guan8 ● Hongjie Chen ● Yi Cui10 ● Bailiang Li ● Thomas Yu  ● Elias Chaibub Neto ● Konstantinos Mavrommatis  ● Maria Ortiz ●...

ASCO-SITC: Causal Modeling of TCGA NSCLC and HNSCC Data Identifies Network Drivers of Tumor Immune Subtypes

by Simona Gilman | Feb 6, 2020 | Articles, Causal, Oncology, Posters

Rahul K Das, Raymond T Yan, Aishwarya Krishnakumar, Bruce Church, Iya Khalil, Xinmeng J Mu, Mateusz Maciejewski, Craig Davis

Evaluation of machine learning methodology for the prediction of healthcare resource utilization and healthcare costs in patients with critical limb ischemia—is preventive and personalized approach on the horizon?

by Simona Gilman | Jan 20, 2020 | Articles, Journals, Market Access/HEOR, Predictive

Jeffrey S. Berger, Lloyd Haskell, Windsor Ting, Fedor Lurie, Shun-Chiao Chang, Luke A. Mueller, Kenneth Elder, Kelly Rich, Concetta Crivera, Jeffrey R. Schein, Veronica Alas
Bayesian Machine Learning on CALGB/SWOG 80405 (Alliance) and PEAK Data Identifies Heterogeneous Landscape of Clinical Predictors of Overall Survival (OS) in Different Populations of Metastatic Colorectal Cancer (mCRC)

Bayesian Machine Learning on CALGB/SWOG 80405 (Alliance) and PEAK Data Identifies Heterogeneous Landscape of Clinical Predictors of Overall Survival (OS) in Different Populations of Metastatic Colorectal Cancer (mCRC)

by Caitlin Nicholson | Jul 4, 2019 | Articles, Causal, Oncology, Posters

Rahul K Das, Fang-Shu Ou, Cecilia Washburn, Federico Innocenti, Andrew B. Nixon, Heinz-Josef Lenz, Charles Blanke, Donna Niedzwiecki, Iya Khalil, Brian D. Harms, Alan P. Venook
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