Meysam Ahangaran PhD
Postdoctoral Research Fellow, Computational Biomedicine
72 E. Concord St Evans Building ahangar@bu.edu
![Meysam Ahangaran](/medicine/files/2022/10/Meysam-Ahangaran-.jpg)
Biography
Dr. Ahangaran is a machine learning researcher in Alzheimer's disease and biomedical applications.
Publications
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 Jul 04. PMID: 38965435.
Published on 6/4/2024Ahangaran 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 3/26/2024Xue 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 2/5/2024Ahangaran 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 2/3/2022Ahangaran 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 1/1/2022Ahangaran 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 1/1/2021Ahangaran M, Chiò A. Amyotrophic Lateral Sclerosis. Artificial Intelligence in Medicine (AIM). Springer Nature. 2021.
Published on 1/1/2020Ahangaran 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.
Published on 1/1/2019Ahangaran M, Jahed-Motlegh MR, Minaei-Bidgoli B. Causal Discovery from Sequential Data in ALS Disease based on Entropy Criteria. Journal of Biomedical Informatics. 2019; (89):41-55.
Published on 1/1/2017Ahangaran M, Taghizadeh N, Beigy H . Associative cellular learning automata and its applications. Applied Soft Computing. 2017; (57):1-18.