Cassie Mitchell, PhD

Research Program

Discovery and Developmental Therapeutics
Email Address

cassie.sue.mitchell@emory.edu

Biography

Cassie S. Mitchell, PhD, is an assistant professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech School of Engineering and Emory University School of Medicine. Dr. Mitchell is a biomedical engineer who specializes in predictive medicine using data analytics, computational modeling and engineering methods.

Dr. Mitchell is a member of the Discovery and Developmental Therapeutics Research Program at Winship Cancer Institute of Emory University.

Education

Dr. Mitchell graduated with her doctoral degree in Biomedical Engineering with an emphasis in Neuroengineering from Georgia Tech and Emory University in Atlanta, Georgia.

Titles & Roles

Assistant Professor, Wallace H. Coulter Department of Biomedical Engineering

Georgia Institute of Technology and Emory University

Research

Dr. Mitchell is interested in developing models and tools that identify etiology, develop new treatments and optimize current patient care. While her early career, training and publications have mostly focused on predictive medicine in neuropathology, she is eager to grow her research and novel analytical techniques and is actively performing preliminary projects in cancer in collaboration with Winship investigators. She is especially interested in applying "big data" towards cancer research as it relates to predictive personalized medicine, adverse event reporting, and treatment protocol and clinical trial development.

Publications

Title/Journal	Authors	Publication Date
Network Diffusion-Constrained Variational Generative Models for Investigating the Molecular Dynamics of Brain Connectomes Under Neurodegeneration. International journal of molecular sciences	J Xie, R Tandon, CS Mitchell	01/26/2025
Stratifying risk of Alzheimer's disease in healthy middle-aged individuals with machine learning. Brain communications	R Tandon, L Zhao, CM Watson, N Sarkar, M Elmor, C Heilman, K Sanders, CM Hales, H Yang, DW Loring, FC Goldstein, JJ Hanfelt, DM Duong, ECB Johnson, AP Wingo, TS Wingo, BR Roberts, NT Seyfried, AI Levey, JJ Lah, CS Mitchell	01/01/2025
Artificial Intelligence-Assisted Comparative Analysis of the Overlapping Molecular Pathophysiology of Alzheimer's Disease, Amyotrophic Lateral Sclerosis, and Frontotemporal Dementia. International journal of molecular sciences	Z Wei, MR Iyer, B Zhao, J Deng, CS Mitchell	12/15/2024
s-SuStaIn: Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkers. Proceedings of machine learning research	R Tandon, JJ Lah, CS Mitchell	06/01/2024
Cross-Domain Text Mining of Pathophysiological Processes Associated with Diabetic Kidney Disease. International journal of molecular sciences	K Patidar, JH Deng, CS Mitchell, AN Ford Versypt	04/19/2024
An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia. Journal of clinical medicine	I Al-Hussaini, B White, A Varmeziar, N Mehra, M Sanchez, J Lee, NP DeGroote, TP Miller, CS Mitchell	03/20/2024
Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction. Information (Basel)	S Rajaram, CS Mitchell	01/01/2024
What Threshold of Amyloid Reduction Is Necessary to Meaningfully Improve Cognitive Function in Transgenic Alzheimer's Disease Mice? Journal of Alzheimer's disease reports	A Singh, M Maker, J Prakash, R Tandon, CS Mitchell	01/01/2024
A Comprehensive Evaluation of Biomedical Entity Linking Models. Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing	D Kartchner, J Deng, S Lohiya, T Kopparthi, P Bathala, D Domingo-Fernández, CS Mitchell	12/01/2023
Literature-Based Discovery to Elucidate the Biological Links between Resistant Hypertension and COVID-19. Biology	D Kartchner, K McCoy, J Dubey, D Zhang, K Zheng, R Umrani, JJ Kim, CS Mitchell	09/21/2023
Hematological Adverse Events with Tyrosine Kinase Inhibitors for Chronic Myeloid Leukemia: A Systematic Review with Meta-Analysis. Cancers	O Kronick, X Chen, N Mehra, A Varmeziar, R Fisher, D Kartchner, V Kota, CS Mitchell	08/31/2023
SeizFt: Interpretable Machine Learning for Seizure Detection Using Wearables. Bioengineering (Basel, Switzerland)	I Al-Hussaini, CS Mitchell	08/02/2023
Literature-Based Discovery Predicts Antihistamines Are a Promising Repurposed Adjuvant Therapy for Parkinson's Disease. International journal of molecular sciences	G Tandra, A Yoone, R Mathew, M Wang, CM Hales, CS Mitchell	08/02/2023
BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis. International ACM SIGIR Conference on Research and Development in Information Retrieval. Annual International ACMSIGIR Conference on Research & Development in Information Retrieval	D Kartchner, I Al-Hussaini, H Turner, J Deng, S Lohiya, P Bathala, C Mitchell	07/01/2023
sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering. Information processing in medical imaging : proceedings of the ... conference	R Tandon, A Kirkpatrick, CS Mitchell	06/01/2023
TOWARDS INTERPRETABLE SEIZURE DETECTION USING WEARABLES. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)	I Al-Hussaini, CS Mitchell	06/01/2023
Predictors of Cognitive Decline in Healthy Middle-Aged Individuals with Asymptomatic Alzheimer's Disease. Research square	R Tandon, L Zhao, CM Watson, M Elmor, C Heilman, K Sanders, CM Hales, H Yang, DW Loring, FC Goldstein, JJ Hanfelt, DM Duong, ECB Johnson, AP Wingo, TS Wingo, BR Roberts, NT Seyfried, AI Levey, CS Mitchell, JJ Lah	02/28/2023
Machine Learning Selection of Most Predictive Brain Proteins Suggests Role of Sugar Metabolism in Alzheimer's Disease. Journal of Alzheimer's disease : JAD	R Tandon, AI Levey, JJ Lah, NT Seyfried, CS Mitchell	01/01/2023
Arboviruses as an unappreciated cause of non-malarial acute febrile illness in the Dschang Health District of western Cameroon. PLoS neglected tropical diseases	IM Ali, VPK Tchuenkam, M Colton, V Stittleburg, C Mitchell, C Gaither, K Thwai, DO Espinoza, Y Zhu, H Jamal, A Key, JJ Juliano, TB Christopher, A Piantadosi, JJ Waggoner, MH Collins	10/01/2022
Cross-Domain Text Mining to Predict Adverse Events from Tyrosine Kinase Inhibitors for Chronic Myeloid Leukemia. Cancers	N Mehra, A Varmeziar, X Chen, O Kronick, R Fisher, V Kota, CS Mitchell	09/26/2022
CompositeView: A Network-Based Visualization Tool. Big data and cognitive computing	SA Allegri, K McCoy, CS Mitchell	06/01/2022
Rule-Enhanced Active Learning for Semi-Automated Weak Supervision. Artificial intelligence	D Kartchner, D Nakajima An, W Ren, C Zhang, CS Mitchell	03/01/2022
Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0. Big data and cognitive computing	A Kirkpatrick, C Onyeze, D Kartchner, S Allegri, DN An, K McCoy, E Davalbhakta, CS Mitchell	03/01/2022
Comparing therapeutic modulators of the SOD1 G93A Amyotrophic Lateral Sclerosis mouse pathophysiology. Frontiers in neuroscience	AJB Lee, TE Kittel, RB Kim, TN Bach, T Zhang, CS Mitchell	01/01/2022
Unsupervised Machine Learning to Identify Separable Clinical Alzheimer's Disease Sub-Populations. Brain sciences	J Prakash, V Wang, RE Quinn, CS Mitchell	07/23/2021
Biomedical Text Link Prediction for Drug Discovery: A Case Study with COVID-19. Pharmaceutics	K McCoy, S Gudapati, L He, E Horlander, D Kartchner, S Kulkarni, N Mehra, J Prakash, H Thenot, SV Vanga, A Wagner, B White, CS Mitchell	05/26/2021
Meta-Analysis of Gastrointestinal Adverse Events from Tyrosine Kinase Inhibitors for Chronic Myeloid Leukemia. Cancers	P Mohanavelu, M Mutnick, N Mehra, B White, S Kudrimoti, K Hernandez Kluesner, X Chen, T Nguyen, E Horlander, H Thenot, V Kota, CS Mitchell	04/01/2021
Aggregate Trends of Apolipoprotein E on Cognition in Transgenic Alzheimer's Disease Mice. Journal of Alzheimer's disease : JAD	Y Watson, B Nelson, JH Kluesner, C Tanzy, S Ramesh, Z Patel, KH Kluesner, A Singh, V Murthy, CS Mitchell	01/01/2021
Markov Chain-Based Sampling for Exploring RNA Secondary Structure under the Nearest Neighbor Thermodynamic Model and Extended Applications. Mathematical & computational applications	A Kirkpatrick, K Patton, P Tetali, C Mitchell	12/01/2020
Associations of Patient Mood, Modulators of Quality of Life, and Pharmaceuticals with Amyotrophic Lateral Sclerosis Survival Duration. Behavioral sciences (Basel, Switzerland)	L Bond, G Bowen, B Mertens, K Denson, K Jordan, B Vidakovic, CS Mitchell	01/10/2020
A Comprehensive Examination of Percutaneous Endoscopic Gastrostomy and Its Association with Amyotrophic Lateral Sclerosis Patient Outcomes. Brain sciences	L Bond, P Ganguly, N Khamankar, N Mallet, G Bowen, B Green, CS Mitchell	09/04/2019
SemNet: Using Local Features to Navigate the Biomedical Concept Graph. Frontiers in bioengineering and biotechnology	AR Sedler, CS Mitchell	01/01/2019
Astrocyte-Mediated Neuromodulatory Regulation in Preclinical ALS: A Metadata Analysis. Frontiers in cellular neuroscience	K Jordan, J Murphy, A Singh, CS Mitchell	01/01/2018
Unraveling the Complexity of Amyotrophic Lateral Sclerosis Survival Prediction. Frontiers in neuroinformatics	SR Pfohl, RB Kim, GS Coan, CS Mitchell	01/01/2018
Associative Increases in Amyotrophic Lateral Sclerosis Survival Duration With Non-invasive Ventilation Initiation and Usage Protocols. Frontiers in neurology	N Khamankar, G Coan, B Weaver, CS Mitchell	01/01/2018