| Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence MD Nemesure, MV Heinz, R Huang, NC Jacobson Scientific reports 11 (1), 1980, 2021 | 199 | 2021 |
| Development and evaluation of a multimodal marker of major depressive disorder J Yang, M Zhang, H Ahn, Q Zhang, TB Jin, I Li, M Nemesure, N Joshi, ... Human brain mapping 39 (11), 4420-4439, 2018 | 50 | 2018 |
| Using artificial intelligence to predict change in depression and anxiety symptoms in a digital intervention: evidence from a transdiagnostic randomized controlled trial NC Jacobson, MD Nemesure Psychiatry research 295, 113618, 2021 | 37 | 2021 |
| Investigating generalizability of speech-based suicidal ideation detection using mobile phones A Pillai, SK Nepal, W Wang, M Nemesure, M Heinz, G Price, D Lekkas, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2024 | 26 | 2024 |
| Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major … MD Nemesure, AC Collins, GD Price, TZ Griffin, A Pillai, S Nepal, ... Journal of psychopathology and clinical science 133 (2), 155, 2024 | 21 | 2024 |
| An unsupervised machine learning approach using passive movement data to understand depression and schizophrenia GD Price, MV Heinz, D Zhao, M Nemesure, F Ruan, NC Jacobson Journal of affective disorders 316, 132-139, 2022 | 20 | 2022 |
| Association of selective serotonin reuptake inhibitor use with abnormal physical movement patterns as detected using a piezoelectric accelerometer and deep learning in a … MV Heinz, GD Price, F Ruan, RJ Klein, M Nemesure, A Lopez, ... JAMA Network Open 5 (4), e225403-e225403, 2022 | 18 | 2022 |
| A novel tricarbonylmethane agent (CMC2. 24) reduces human pancreatic tumor growth in mice by targeting Ras NA Mallangada, JM Vargas, S Thomas, MG DiGiovanni, BM Vaeth, ... Molecular carcinogenesis 57 (9), 1130-1143, 2018 | 16 | 2018 |
| A measure of local uniqueness to identify linchpins in a social network with node attributes MD Nemesure, TM Schwedhelm, S Sacerdote, AJ O’Malley, LR Rozema, ... Applied network science 6 (1), 1-14, 2021 | 15 | 2021 |
| Moodcapture: Depression detection using in-the-wild smartphone images S Nepal, A Pillai, W Wang, T Griffin, AC Collins, M Heinz, D Lekkas, ... Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems …, 2024 | 13 | 2024 |
| Using digital phenotyping to capture depression symptom variability: detecting naturalistic variability in depression symptoms across one year using passively collected … GD Price, MV Heinz, SH Song, MD Nemesure, NC Jacobson Translational Psychiatry 13 (1), 381, 2023 | 13 | 2023 |
| Assessment of imputation methods for missing gene expression data in meta-analysis of distinct cohorts of tuberculosis patients CA Bobak, L McDonnell, MD Nemesure, J Lin, JE Hill PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, 307-318, 2019 | 12 | 2019 |
| Phospho-valproic acid (MDC-1112) suppresses glioblastoma growth in preclinical models through the inhibition of STAT3 phosphorylation D Luo, M Fraga-Lauhirat, J Millings, C Ho, EM Villarreal, TC Fletchinger, ... Carcinogenesis 40 (12), 1480-1491, 2019 | 11 | 2019 |
| Evaluating change in body image concerns following a single session digital intervention MD Nemesure, C Park, RR Morris, WW Chan, EE Fitzsimmons-Craft, ... Body Image 44, 64-68, 2023 | 9 | 2023 |
| Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement intervention JA Gyorda, MD Nemesure, G Price, NC Jacobson Journal of affective disorders 320, 201-210, 2023 | 8 | 2023 |
| The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adults EA Kline, D Lekkas, A Bryan, MD Nemesure, TZ Griffin, AC Collins, ... Journal of Affective Disorders 363, 492-500, 2024 | 5 | 2024 |
| Predictive modeling of suicidal ideation in patients with epilepsy MD Nemesure, N Streltzov, LM Schommer, D Lekkas, NC Jacobson, ... Epilepsia 63 (9), 2269-2278, 2022 | 4 | 2022 |
| Leveraging deep learning models to understand the daily experience of anxiety in teenagers over the course of a year B Wang, MD Nemesure, C Park, GD Price, MV Heinz, NC Jacobson Journal of affective disorders 329, 293-299, 2023 | 3 | 2023 |
| Semantic signals in self-reference: The detection and prediction of depressive symptoms from the daily diary entries of a sample with major depressive disorder AC Collins, D Lekkas, MD Nemesure, TZ Griffin, G Price, A Pillai, S Nepal, ... OSF, 2023 | 3 | 2023 |
| Predicting Symptom Response and Engagement in a Digital Intervention Among Individuals with Schizophrenia and Related Psychoses GD Price, MV Heinz, MD Nemesure, JR McFadden, NC Jacobson Frontiers in Psychiatry, 1858, 2022 | 3 | 2022 |
