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Artificial Intelligence in Medicine|April 26, 2023
A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory diseaseBryan Andrews, Chirayu Wongchokprasitti, Shyam Visweswaran, et al.Journal of Psychopathology and Clinical Science|February 6, 2025
Delineating empirically plausible causal pathways to suicidality among people at clinical high risk for psychosisMichael V Bronstein, Erich Kummerfeld, Carrie E Bearden, et al.Aging Cell|February 25, 2026
Select Small Non-Coding RNAs Are Determinants of Survival in Older AdultsVirginia Byers Kraus, Sisi Ma, Syeda Iffat Naz, et al.Briefings in Bioinformatics|August 1, 2025
Artifacts in spatial transcriptomics data: their detection, importance, prevalence, and preventionErich Kummerfeld, Leland Williams, Yinzhao Wang, et al.Arxiv|June 8, 2021
A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. HospitalsJu Sun, Le Peng, Taihui Li, et al.Radiology. Artificial Intelligence|August 4, 2022
Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational StudyJu Sun, Le Peng, Taihui Li, et al.Briefings in Bioinformatics|April 19, 2026
Causal modeling reveals cell-cell communication dynamics in the tumor microenvironment during anti-PD-1 therapy in breast cancer patientsAodong Qiu, Han Zhang, Joseph D Ramsey, et al.Nature Genetics|September 15, 2025
Advancing biological understanding of cellular senescence with computational multiomicsSheng Li, Paula A Agudelo Garcia, Constantin Aliferis, et al.Pageof 6