Abraham Eafa
Abe Eafa, BSResearch Associate
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Nolan Priedigkeit
I am a medical oncology fellow interested in understanding single-cell transcriptional heterogeneity to improve how we classify, diagnose and treat advanced breast cancers.
Adaeze Anyaeto
Zhongqi Fan
Machine Learning to Understand Genetic and Clinical Factors Associated with the Pulse Waveform Dicrotic Notch
Cunningham, Jonathan W., Paolo Di Achille, Valerie N. Morrill, Lu-Chen Weng, Seung Hoan Choi, Shaan Khurshid, Victor Nauffal, et al. 2021. “Machine Learning to Understand Genetic and Clinical Factors Associated With the Pulse Waveform Dicrotic Notch.”
Physiology as a Lingua Franca for Clinical Machine Learning
Sarma, Gopal, Erik Reinertsen, and ML4CVD Group. 2020. “Physiology As a Lingua Franca for Clinical Machine Learning”. Patterns 1 (2): 100017.
Clinical and Genetic Associations of Deep Learning-Derived Cardiac Magnetic Resonance-Based Left Ventricular Mass
Khurshid, Shaan, Julieta Lazarte, James P. Pirruccello, Lu-Chen Weng, Seung Hoan Choi, Amelia W. Hall, Xin Wang, et al. 2022. “Clinical and Genetic Associations of Deep Learning-Derived Cardiac Magnetic Resonance-Based Left Ventricular Mass.”
Deep Learning of Left Atrial Structure and Function Provides Link to Atrial Fibrillation Risk
Pirruccello, James P., Paolo Di Achille, Seung Hoan Choi, Shaan Khurshid, Mahan Nekoui, Sean J. Jurgens, Victor Nauffal, et al. 2021. “Deep Learning of Left Atrial Structure and Function Provides Link to Atrial Fibrillation Risk.”
Deep Learning to Predict Cardiac Magnetic Resonance–Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs
Khurshid, Shaan, Samuel Friedman, James P. Pirruccello, Paolo Di Achille, Nathaniel Diamant, Christopher D. Anderson, Patrick T. Ellinor, et al. 2021. “Deep Learning to Predict Cardiac Magnetic Resonance–Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs”. Circulation: Cardiovascular Imaging 14 (6).
Abstract 11436: Trends in Consumer Wearable Devices in a Primary Care Cohort
Al-alusi, Mostafa A, Shaan Khurshid, Xin Wang, Christopher Reeder, Pulkit Singh, Rachael Venn, Daniel Pipilas, et al. 2021. “Abstract 11436: Trends in Consumer Wearable Devices in a Primary Care Cohort”. Circulation 144 (Suppl\_1): A11436—A11436.