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Current Topics in Behavioral Neurosciences|July 7, 2024
Transcriptomics : Approaches to Quantifying Gene Expression and Their Application to Studying the Human BrainLora Liharska, Alexander CharneyJournal of Medical Internet Research|September 4, 2025
Detecting, Characterizing, and Mitigating Implicit and Explicit Racial Biases in Health Care Datasets With Subgroup Learnability: Algorithm Development and Validation StudyFaris Gulamali, Ashwin Shreekant Sawant, Lora Liharska, et al.Innovations in Clinical Neuroscience|February 8, 2018
Negative Symptom Dimensions of the Positive and Negative Syndrome Scale Across Geographical Regions: Implications for Social, Linguistic, and Cultural ConsistencyAnzalee Khan, Lora Liharska, Philip D Harvey, et al.Journal of Medical Internet Research|December 11, 2024
Large Language Models and Empathy: Systematic ReviewVera Sorin, Dana Brin, Yiftach Barash, et al.NPJ Digital Medicine|December 13, 2022
Autoencoders for sample size estimation for fully connected neural network classifiersFaris F Gulamali, Ashwin S Sawant, Patricia Kovatch, et al.Plos One|February 8, 2024
Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York CityKullaya Takkavatakarn, Yang Dai, Huei Hsun Wen, et al.Research Square|March 27, 2026
Obedience to Unsafe Clinical Instructions: How Large Language Models Respond to Authority CuesMahmud Omar, Reem Agbareia, Jolion McGreevy, et al.Global Heart|February 19, 2015
Cardiovascular risk surveillance to develop a nationwide health promotion strategy: the grenada heart projectSameer Bansilal, Rajesh Vedanthan, Mark Woodward, et al.Communications Medicine|August 2, 2025
Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision supportMahmud Omar, Vera Sorin, Jeremy D Collins, et al.NPJ Digital Medicine|June 6, 2023
A foundational vision transformer improves diagnostic performance for electrocardiogramsAkhil Vaid, Joy Jiang, Ashwin Sawant, et al.Pageof 4