Meysam Ahangaran PhD

Postdoctoral Research Fellow, Computational Biomedicine

72 E. Concord St Evans Building
Meysam Ahangaran

Biography

Dr. Ahangaran is a machine learning researcher in Alzheimer's disease and biomedical applications.

Publications

Published on 11/28/2024

Ahangaran M, Dawalatabad N, Karjadi C, Glass J, Au R, Kolachalama VB. Obfuscation via pitch-shifting for balancing privacy and diagnostic utility in voice-based cognitive assessment. medRxiv. 2024 Nov 28. PMID: 39649616.

Published on 7/4/2024

Xue C, Kowshik SS, Lteif D, Puducheri S, Jasodanand VH, Zhou OT, Walia AS, Guney OB, Zhang JD, Pham ST, Kaliaev A, Andreu-Arasa VC, Dwyer BC, Farris CW, Hao H, Kedar S, Mian AZ, Murman DL, O'Shea SA, Paul AB, Rohatgi S, Saint-Hilaire MH, Sartor EA, Setty BN, Small JE, Swaminathan A, Taraschenko O, Yuan J, Zhou Y, Zhu S, Karjadi C, Alvin Ang TF, Bargal SA, Plummer BA, Poston KL, Ahangaran M, Au R, Kolachalama VB. AI-based differential diagnosis of dementia etiologies on multimodal data. Nat Med. 2024 Oct; 30(10):2977-2989. PMID: 38965435.

Published on 6/20/2024

Ahangaran M, Sun E, Le K, Sun J, Wang WM, Tan TH, Yin L, Burdine LJ, Dvanajscak Z, Cassol CA, Sharma S, Kolachalama VB. Pilot Study of a Web-Based Tool for Real-Time Adequacy Assessment of Kidney Biopsies. Kidney Int Rep. 2024 Sep; 9(9):2809-2813. PMID: 39291211.

Published on 6/4/2024

Ahangaran M, Zhu H, Li R, Yin L, Jang J, Chaudhry AP, Farrer LA, Au R, Kolachalama VB. DREAMER: a computational framework to evaluate readiness of datasets for machine learning. BMC Med Inform Decis Mak. 2024 Jun 04; 24(1):152. PMID: 38831432.

Published on 3/26/2024

Xue C, Kowshik SS, Lteif D, Puducheri S, Jasodanand VH, Zhou OT, Walia AS, Guney OB, Zhang JD, Pham ST, Kaliaev A, Andreu-Arasa VC, Dwyer BC, Farris CW, Hao H, Kedar S, Mian AZ, Murman DL, O'Shea SA, Paul AB, Rohatgi S, Saint-Hilaire MH, Sartor EA, Setty BN, Small JE, Swaminathan A, Taraschenko O, Yuan J, Zhou Y, Zhu S, Karjadi C, Ang TFA, Bargal SA, Plummer BA, Poston KL, Ahangaran M, Au R, Kolachalama VB. AI-based differential diagnosis of dementia etiologies on multimodal data. medRxiv. 2024 Mar 26. PMID: 38585870.

Published on 2/5/2024

Ahangaran M, Sun E, Le K, Sun J, Wang WM, Tan TH, Burdine LJ, Dvanajscak Z, Cassol CA, Sharma S, Kolachalama VB. A web-based tool for real-time adequacy assessment of kidney biopsies. medRxiv. 2024 Feb 05. PMID: 38370740.

Published on 2/3/2022

Ahangaran M, Chiò A, D'Ovidio F, Manera U, Vasta R, Canosa A, Moglia C, Calvo A, Minaei-Bidgoli B, Jahed-Motlagh MR. Causal associations of genetic factors with clinical progression in amyotrophic lateral sclerosis. Comput Methods Programs Biomed. 2022 Apr; 216:106681. PMID: 35151113.

Published on 1/1/2022

Ahangaran M, Peimankar A, Wiil UK, Chiò A. Impact of laboratory biomarkers on ALS disease progression: a probabilistic causation approach. Network Modeling Analysis in Health Informatics and Bioinformatics. 2022; 1(11):1-7.

Published on 1/1/2021

Ahangaran M, Chiò A. Amyotrophic Lateral Sclerosis. Artificial Intelligence in Medicine (AIM). Springer Nature. 2021.

Published on 1/1/2020

Ahangaran M, Jahed-Motlegh MR, Minaei-Bidgoli B . A Novel Method for Predicting the Progression Rate of ALS Disease Based on Automatic Generation of Probabilistic Causal Chains. Artificial Intelligence in Medicine. 2020.

View full list of 12 publications.